Paper Review Records
All Paper Review Records
10 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
578
days
Mapping enhancer–gene regulatory interactions from single-cell data
Authors
Maya U. Sheth; Wei-Lin Qiu; X. Rosa Ma; Andreas R. Gschwind; Evelyn Jagoda; Anthony S. Tan; James Galante; Judhajeet Ray; Dulguun Amgalan; Hjörleifur Einarsson; Bram L. Gorissen; Danilo Dubocanin; Christopher S. McGinnis; Jacob Huang; Glen Munson; Kayla Brand; Ansuman T. Satpathy; Thouis R. Jones; Lars M. Steinmetz; Anshul Kundaje; Berk Ustun; Jesse M. Engreitz; Robin AnderssonShow moreShow less
Affiliations
1. The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, USA; 2. Department of Genetics, Stanford University School of Medicine, Stanford, USA; 3. Basic Sciences and Engineering Initiative, Betty Irene Moore Children’s Heart Center, Lucile Packard Children’s Hospital, Stanford, USA; 4. Department of Bioengineering, Stanford University, Stanford, USA; 5. Department of Biology, Section for Computational and RNA Biology, University of Copenhagen, Copenhagen, Denmark; 6. Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, USA; 7. Department of Pathology, Stanford University, Stanford, USA; 8. Parker Institute for Cancer Immunotherapy, San Francisco, USA; 9. Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany; 10. Stanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, USA; 11. Department of Computer Science, Stanford University, Stanford, USA; 12. Halıcıoğlu Data Science Institute and Department of Computer Science and Engineering, University of California San Diego, San Diego, USA; 13. Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, USA; 14. Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, USAShow moreShow less
494
days
Cumulative transcription factor binding and p300-mediated histone acetylation drive enhancer activation frequency
Authors
Valentina Baderna; Guido Barzaghi; Rozemarijn Kleinendorst; Kasit Chatsirisupachai; Laura Moniot-Perron; Colm Doyle; Meike Schopp; Tino Hochepied; Claude Libert; Duncan T. Odom; Judith B. Zaugg; Arnaud R. KrebsShow moreShow less
Affiliations
1. Genome Biology Unit, EMBL Heidelberg, Heidelberg, Germany; 2. Faculty of Biosciences, Collaboration for Joint PhD Degree between EMBL and Heidelberg University, Heidelberg, Germany; 3. Institut Imagine, Paris, France; 4. Division of Precision Medicine, NYU Grossman School of Medicine, New York City, USA; 5. Division of Medical Bioinformatics, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand; 6. German Cancer Research Center (DKFZ), Division of Regulatory Genomics and Cancer Evolution, Heidelberg, Germany; 7. VIB Center for Inflammation Research, Ghent, Belgium; 8. Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium; 9. Structural and Computational Biology Unit, EMBL Heidelberg, Heidelberg, Germany; 10. Department of Biomedicine, University of Basel, Basel, SwitzerlandShow moreShow less
750
days
Gene mutant dosage is associated with prognosis and metastatic tropism in 60,000 clinical cancer samples
Authors
Nicola Calonaci; Eriseld Krasniqi; Daniel Colic; Stefano Scalera; Giorgia Gandolfi; Salvatore Milite; Konstantin Bräutigam; Andrea Sottoriva; Trevor A. Graham; Leonardo Egidi; Biagio Ricciuti; Marcello Maugeri-Saccà; Giulio CaravagnaShow moreShow less
Affiliations
1. Department of Mathematics, Informatics and Geosciences, University of Trieste, Trieste, Italy; 2. Phase IV Clinical Studies Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy; 3. Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute for Science and Technology (BIST), Barcelona, Spain; 4. Clinical Trial Center, Biostatistics and Bioinformatics Division, IRCCS Regina Elena National Cancer Institute, Rome, Italy; 5. Computational Biology Research Centre, Human Technopole, Milan, Italy; 6. Centre for Evolution and Cancer, Institute of Cancer Research, London, UK; 7. Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland; 8. Department of Economics, Business, Mathematics, and Statistics ‘Bruno de Finetti’, University of Trieste, Trieste, Italy; 9. Lowe Center for Thoracic Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, USA; 10. Division of Medical Oncology 2, IRCCS Regina Elena National Cancer Institute, Rome, Italy; 11. Area Science Park, Trieste, ItalyShow moreShow less
568
days
Single-cell spatial mapping of human kidney development implicates the microenvironment in guiding cell fate decisions
Authors
Jonathan Levinsohn; Samuel Grindel; Bernhard Dumoulin; Amin Abedini; Carolina Conte; Aria Zheyuan Huang; Rena Levin-Klein; Boaz Weisz; Grace Rabinowitz; Andi M. Bergeson; Eunji Ha; Konstantin A. Klötzer; Nancy Zhang; Paul Titchenell; Mingyao Li; Joo-Seop Park; Juan Pablo Arroyo; Laura S. Finn; Kotaro Sasaki; Pazit Beckerman; Oren Pleniceanu; Paola Romagnani; Alex J. Hughes; Katalin SusztakShow moreShow less
Affiliations
1. Renal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA; 2. Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA; 3. Penn/CHOP Kidney Innovation Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA; 4. Department of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA; 5. Department of Pediatrics, Division of Nephrology, Children’s Hospital of Philadelphia, Philadelphia, USA; 6. Department of Bioengineering, University of Pennsylvania, Philadelphia, USA; 7. Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, USA; 8. Nephrology and Dialysis Unit, Meyer Children’s Hospital IRCCS, Florence, Italy; 9. Department of Biomedical, Experimental and Clinical Sciences ‘Mario Serio’, University of Florence, Florence, Italy; 10. Kidney Research Lab, Institute of Nephrology and Hypertension, Sheba Medical Center, Tel Aviv, Israel; 11. Gray Faculty of Medical and Health Sciences, Tel-Aviv University, Tel-Aviv, Israel; 12. Department of Obstetrics and Gynecology, Fetal Medicine Unit, Sheba Medical Center, Ramat Gan, Israel; 13. Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, USA; 14. Department of Physiology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA; 15. Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA; 16. Division of Nephrology and Hypertension, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, USA; 17. Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, USA; 18. Vanderbilt Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, USA; 19. Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, USA; 20. Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, USAShow moreShow less
Expert Matching · Case Demo
Turn Your Submission Goalsinto a Verifiable Journal Plan
Share your field, deadline, and author profile. CrushSCI uses real review records to suggest a title direction, shortlist journals, and estimate timelines.
Client
I work in environmental engineering and need an SCI paper published within three months. I have no grant funding or prominent co-author. Which journals could I target?
CrushSCI
Yes. We will first screen for feasibility against the 90-day deadline, then identify comparable papers without grant support or prominent co-authors. The final shortlist will prioritize research quality and journal scope.
- Suggested title
- Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment
- Database shortlist
- Environmental Technology & Innovation
SampleLatest 5 valid paper samples from 2026
Average review62 days
Median65 days