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Review Cycle Records

Pituitary

Springer SCIE Non-OA
2026 Emerging Zone 32025 CAS Zone 22025 JCR Q2
54.7Average days
56Median days
6Fastest days
108Longest days
1372025 publications

Paper Review Records

All Paper Review Records

15 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

38 days

Internal validation of THINKERS-PA for outcome prediction after pituitary adenoma radiosurgery

AuthorsJheremy S. Reyes; Constantinos G. Hadjipanayis; Georgios Zenonos; L Dade Lunsford; Ajay Niranjan

Affiliations1. Center for Image-Guided Neurosurgery, Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, USA; 2. Computational Neurosurgery Research Group (CIGNS-CRG), Center for Image-Guided Neurosurgery, Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, USA

Source PDF DOI Publisher page
93 days

Long term neuropsychological evaluation of adult patients with craniopharyngiomas

AuthorsJulie Guillotin; Charlotte Planchon; Julien Engelhardt; Edouard Gimbert; Thomas Cuny; Fadi Alkhiami; Kamel Mohammedi; Antoine Tabarin; Blandine Gatta Cherifi

Affiliations1. Endocrine department, University Hospital of Bordeaux, Bordeaux, France; 2. Neurosurgery B, University Hospital of Bordeaux, Bordeaux, France; 3. Neurosurgery A, University Hospital of Bordeaux, Bordeaux, France; 4. Aix Marseille Université, INSERM U1409, Clinical Investigation Center, Assistance Publique Hôpitaux de Marseille (AP-HM), Hôpital de la Conception, CRMR HYPO, Marseille, France; 5. INSERMU1215, University of Bordeaux, Bordeaux, France

Source PDF DOI Publisher page
103 days

Importance of clinical profiling to determine excess mortality in prolactinomas: insights from a large, registry-based cohort

AuthorsTarik Ziyad Tarik Shwaish; Davide Gori; Claudio Sartori; Federica Guaraldi

Affiliations1. Department of Medical Sciences, Division of Endocrinology, Diabetes and Metabolism, University of Turin, Turin, Italy; 2. Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy; 3. Department of Computer Science and Engineering, University of Bologna, Bologna, Italy; 4. Pituitary Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy

Source PDF DOI Publisher page
42 days

Association between preoperative MRI radiomic features and methylation-defined phenotypes in non-functioning pituitary adenomas

AuthorsIlies Djebbara; Morten Winkler Møller; Ivar Yannick Christensen; Bo Halle; Christian Bonde Pedersen; Frantz Rom Poulsen; Jan Saip Aunan-Diop

Affiliations1. Department of Neurosurgery, Odense University Hospital, Odense C, Denmark; 2. Clinical Institute and Brain Research Interdisciplinary Guided Excellence (BRIDGE), University of Southern Denmark, Odense, Denmark; 3. Department of Radiology, Odense University Hospital, Odense, Denmark

Source PDF DOI Publisher page
41 days

Evaluation of endothelial dysfunction in women with prolactinoma

AuthorsMehmet Cagri Unal; Osman Onur Daloglu; Ugur Karabiyik; Nihat Kalay; Kursad Unluhizarci; Zuleyha Karaca

Affiliations1. Department of Internal Medicine, Erciyes University, Kayseri, Turkey; 2. Department of Cardiology, Erciyes University, Kayseri, Turkey; 3. Department of Endocrinology and Metabolism, Erciyes University, Kayseri, Turkey

Source PDF DOI Publisher page
6 days

Revival of neurophysin-I as a complementary biomarker for circulating oxytocin

AuthorsElizabeth A. Lawson

Affiliations1. Neuroendocrine Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, USA

Source PDF DOI Publisher page
16 days

Artificial intelligence in pituitary medicine: what should an endocrinologist know?

AuthorsDamla N. Costa; Rozalina G. McCoy; Debraj Mukherjee; Roberto Salvatori

Affiliations1. Department of Medicine, University of Maryland Midtown Campus, Baltimore, USA; 2. Division of Endocrinology, Diabetes, & Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, USA; 3. University of Maryland Institute for Health Computing, North Bethesda, USA; 4. Department of Neurosurgery and Pituitary Center, Johns Hopkins University School of Medicine, Baltimore, USA; 5. Division of Endocrinology, Diabetes and Metabolism and Pituitary Center, Johns Hopkins University School of Medicine, Baltimore, USA

Source PDF DOI Publisher page
51 days

Beyond biochemical control: factors associated with quality of life in patients with acromegaly

AuthorsAyşe Merve Ok Kurt; Özge Telci Çaklılı; Fatih Bektaş; Gamze Bilik Oyman; Ümmü Mutlu; Hülya Hacişahinoğulları; Gülşah Yenidünya Yalın; Nurdan Gül; Ayşe Kubat Üzüm; Ferihan Aral; Sema Yarman; Özlem Soyluk Selçukbiricik

Affiliations1. Department of Internal Medicine, Division of Endocrinology and Metabolism, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey; 2. Department of Endocrinology and Metabolism, Kocaeli City Hospital, Kocaeli, Türkiye; 3. Department of Endocrinology and Metabolism, Bağcılar Training and Research Hospital, Istanbul, Turkey

Source PDF DOI Publisher page
62 days

Clinical presentation, investigation findings, and outcomes of hypophysitis in sarcoidosis: a systematic review

AuthorsJulia F B Cavalcanti; Sara Caixeta de Souza; Leandro Tavares Lucato; Andrea Glezer; Guilherme Diogo Silva

Affiliations1. Department of Neurology, Hospital das Clinicas, University of São Paulo, São Paulo, Brazil; 2. Department of Radiology, Hospital das Clinicas, University of São Paulo, São Paulo, Brazil; 3. Unit of Neuroendocrinology, Division of Endocrinology and Metabolism, Hospital das Clinicas, University of São Paulo, São Paulo, Brazil; 4. Medical Research Laboratory 15 (LIM-15), University of São Paulo Medical School, São Paulo, Brazil

Source PDF DOI Publisher page
68 days

Diagnostic value of the TRH test for central hypothyroidism in patients with pituitary and parasellar tumors: a single-center retrospective cross-sectional study

AuthorsBattsetseg Buyandalai; Tetsuya Takamizawa; Kazuhiko Horiguchi; Sho Sekiguchi; Masashi Yoshikawa; Takuya Watanabe; Yutaka Watanuki; Emi Ishida; Satoshi Yoshino; Shunichi Matsumoto; Rei Yamaguchi; Masahiko Tosaka; Masanobu Yamada; Eijiro Yamada

Affiliations1. Division of Endocrinology and Metabolism, Department of Internal Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan; 2. Department of Diabetes and Endocrinology, JA Nagano Koseiren Saku Medical Center, Nagano, Japan; 3. Laboratory of Diabetes and Metabolic Disorders, Institute for Molecular and Cellular Regulation, Gunma University Graduate School of Medicine, Maebashi, Japan; 4. Department of Neurosurgery, Gunma University Graduate School of Medicine, Maebashi, Japan

Source PDF DOI Publisher page

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Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment

SampleLatest 5 valid paper samples from 2026

Average review96.4 days

Median77 days

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