Brian Shine

5.6k total citations
127 papers, 3.8k citations indexed

About

Brian Shine is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, Brian Shine has authored 127 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Endocrinology, Diabetes and Metabolism, 29 papers in Surgery and 26 papers in Epidemiology. Recurrent topics in Brian Shine's work include Pituitary Gland Disorders and Treatments (13 papers), Clinical Laboratory Practices and Quality Control (10 papers) and Adrenal and Paraganglionic Tumors (9 papers). Brian Shine is often cited by papers focused on Pituitary Gland Disorders and Treatments (13 papers), Clinical Laboratory Practices and Quality Control (10 papers) and Adrenal and Paraganglionic Tumors (9 papers). Brian Shine collaborates with scholars based in United Kingdom, Italy and United States. Brian Shine's co-authors include Mark B. Pepys, Frits C. de Beer, P Fells, Niki Karavitaki, Tim James, Helen Turner, John Wass, A. P. Weetman, Amanda Adler and Diana Bilton and has published in prestigious journals such as The Lancet, Circulation and Journal of Clinical Investigation.

In The Last Decade

Brian Shine

123 papers receiving 3.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Brian Shine 1.2k 927 785 556 423 127 3.8k
Burkhard Tönshoff 950 0.8× 1.1k 1.1× 679 0.9× 703 1.3× 249 0.6× 244 6.8k
Anneke C. Muller Kobold 746 0.6× 641 0.7× 557 0.7× 501 0.9× 412 1.0× 123 3.5k
Enrique Morales 1.1k 0.9× 1.1k 1.2× 397 0.5× 675 1.2× 701 1.7× 201 4.5k
Kiyoshi Ichihara 1000 0.8× 722 0.8× 422 0.5× 383 0.7× 154 0.4× 189 3.5k
Karn Wijarnpreecha 570 0.5× 972 1.0× 2.0k 2.5× 422 0.8× 353 0.8× 250 4.0k
Joel Neugarten 786 0.6× 582 0.6× 332 0.4× 598 1.1× 653 1.5× 82 4.6k
Davor Štimac 594 0.5× 1.6k 1.7× 2.2k 2.8× 642 1.2× 258 0.6× 201 4.6k
Sarah Fowler 1.1k 0.9× 928 1.0× 456 0.6× 359 0.6× 593 1.4× 44 4.8k
Bryan N. Becker 411 0.3× 1.8k 2.0× 541 0.7× 812 1.5× 520 1.2× 120 5.5k
Demetrius Ellis 1.8k 1.4× 1.2k 1.3× 801 1.0× 412 0.7× 762 1.8× 118 5.7k

Countries citing papers authored by Brian Shine

Since Specialization
Citations

This map shows the geographic impact of Brian Shine's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brian Shine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Shine more than expected).

Fields of papers citing papers by Brian Shine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Shine. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brian Shine. The network helps show where Brian Shine may publish in the future.

Co-authorship network of co-authors of Brian Shine

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Shine. A scholar is included among the top collaborators of Brian Shine based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian Shine. Brian Shine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pofi, Riccardo, Tim James, Brian Shine, et al.. (2024). Copeptin and the syndrome of inappropriate antidiuresis (SIAD) after pituitary transsphenoidal surgery. Endocrinology Diabetes & Metabolism. 7(1). e467–e467.
2.
Shine, Brian, et al.. (2023). Basic metabolism: proteins. Surgery (Oxford). 41(12). 761–766. 2 indexed citations
3.
Pofi, Riccardo, Joanne R. Duffy, Zoë Maunsell, et al.. (2023). Assessing treatment adherence is crucial to determine adequacy of mineralocorticoid therapy. Endocrine Connections. 12(9). 7 indexed citations
4.
Watson, Robert, Orion Tong, Chelsea Taylor, et al.. (2023). 135P The lymphocyte stability index (LSI) forms a pan-cancer peripheral biomarker for overall survival post initiation of immune checkpoint blockade (ICB). Annals of Oncology. 34. S235–S235. 1 indexed citations
5.
Tsakok, Maria, Robert Watson, Heiko Peschl, et al.. (2022). Reduction in Chest CT Severity and Improved Hospital Outcomes in SARS-CoV-2 Omicron Compared with Delta Variant Infection. Radiology. 306(1). 261–269. 52 indexed citations
6.
7.
Fleming, Susannah, Rafael Perera, Kathryn Taylor, et al.. (2021). Frequency of Renal Monitoring — Creatinine and Cystatin C (FORM-2C): an observational cohort study of patients with reduced eGFR in primary care. British Journal of General Practice. 71(710). e677–e684. 1 indexed citations
8.
James, Tim, et al.. (2021). Pregnancy-specific reference intervals for C-reactive protein improve diagnostic accuracy for infection: A longitudinal study. Clinica Chimica Acta. 517. 81–85. 17 indexed citations
9.
Nicholson, Brian D, et al.. (2020). Faecal immunochemical testing for adults with symptoms of colorectal cancer attending English primary care: a retrospective cohort study of 14 487 consecutive test requests. Alimentary Pharmacology & Therapeutics. 52(6). 1031–1041. 47 indexed citations
10.
Ordóñez-Mena, José M, Thomas Fanshawe, David McCartney, et al.. (2019). C-reactive protein and neutrophil count laboratory test requests from primary care: what is the demand and would substitution by point-of-care technology be viable?. Journal of Clinical Pathology. 72(7). 474–481. 3 indexed citations
11.
12.
Luthra, Suvitesh, Miguel M. Leiva‐Juárez, Brian Shine, et al.. (2019). Prior Percutaneous Coronary Interventions May Be Associated With Increased Mortality After Coronary Bypass Grafting: A Meta-Analysis. Seminars in Thoracic and Cardiovascular Surgery. 32(1). 59–74. 1 indexed citations
13.
Sbardella, Emilia, Andrea M. Isidori, Conor Woods, et al.. (2016). Baseline morning cortisol level as a predictor of pituitary–adrenal reserve: a comparison across three assays. Clinical Endocrinology. 86(2). 177–184. 61 indexed citations
14.
Oke, Jason, Brian Shine, Emily McFadden, et al.. (2015). Trends in serum creatinine testing in Oxfordshire, UK, 1993–2013: a population-based cohort study. BMJ Open. 5(12). e009459–e009459. 3 indexed citations
15.
Hill, Nathan R., Daniel Lasserson, Samuel Fatoba, et al.. (2013). The Oxford Renal (OxRen) cross-sectional study of chronic kidney disease in the UK. BMJ Open. 3(12). e004265–e004265. 5 indexed citations
16.
Rai, Tanvi, et al.. (2007). What influences men's decision to have a prostate-specific antigen test? A qualitative study. Family Practice. 24(4). 365–371. 29 indexed citations
17.
Clements, Alison, et al.. (2007). The PSA testing dilemma: GPs' reports of consultations with asymptomatic men: a qualitative study. BMC Family Practice. 8(1). 35–35. 23 indexed citations
18.
Karavitaki, Niki, Claudia Brufani, Christopher B. T. Adams, et al.. (2005). Craniopharyngiomas in children and adults: systematic analysis of 121 cases with long‐term follow‐up. Clinical Endocrinology. 62(4). 397–409. 408 indexed citations
19.
Weetman, A P, M Yateman, P. A. Ealey, et al.. (1990). Thyroid-stimulating antibody activity between different immunoglobulin G subclasses.. Journal of Clinical Investigation. 86(3). 723–727. 110 indexed citations
20.
Williams, Ralph C., N. J. Marshall, Katherine E. Kilpatrick, et al.. (1988). Kappa/lambda immunoglobulin distribution in Graves' thyroid-stimulating antibodies. Simultaneous analysis of C lambda gene polymorphisms.. Journal of Clinical Investigation. 82(4). 1306–1312. 36 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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