Mark Sherlock

7.4k citations
136 papers · 4.5k · h-index 38

Impact in

Papers in

Mark Sherlock

122 papers receiving 4.4k citations

Peers

Mark Sherlock
Comparison fields: 5 of 112
  • Endocrinology, Diabetes and Metabolism 2.3k
  • Pulmonary and Respiratory Medicine 1.1k
  • Neurology 454
  • Behavioral Neuroscience 92
  • Developmental Neuroscience 93
Replace William Tormey with:
William Tormey Ireland
T. Hugh Jones United Kingdom
Lies Langouche Belgium
Francis de Zegher Belgium
Yuki Yoshida Japan
Paul D. Woolf United States
Kate M. Denton Australia
Thomas J. K. Toung United States
Leanne Groban United States
C.R.W. Edwards United Kingdom
Mark Sherlock relative to William Tormey Ireland William Tormey's profile →
Citations per field
00.5×4.7×
William Tormey · 1×
Citations per year

Countries citing papers authored by Mark Sherlock

Since Specialization
Citations

This map shows the geographic impact of Mark Sherlock'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 Mark Sherlock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Sherlock more than expected).

Fields of papers citing papers by Mark Sherlock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Sherlock. 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 Mark Sherlock. The network helps show where Mark Sherlock may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Sherlock, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Sherlock Line = papers co-authored together Mark Sherlock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010287
2 2004281
3 2006181
4 2020180
5 2009146
6 2009135
7 2013128
8 2012127
9 2005126
10 2005117
11 2012100
12 200994
13 201393
14 201993
15 200785
16 200784
17 200783
18 202271
19 201768
20 201965

About Mark Sherlock

Mark Sherlock is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 136 papers that have together received 4.5k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (31 papers), Electrolyte and hormonal disorders (31 papers), Hormonal Regulation and Hypertension (25 papers), Adrenal Hormones and Disorders (20 papers), Growth Hormone and Insulin-like Growth Factors (19 papers), Adrenal and Paraganglionic Tumors (13 papers), Hormonal and reproductive studies (9 papers) and HIV/AIDS oral health manifestations (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Pulmonary and Respiratory Medicine (1.1k citations), Neurology (454 citations), Behavioral Neuroscience (92 citations) and Developmental Neuroscience (93 citations). Mark Sherlock has collaborated with scholars based in Ireland, United Kingdom and Netherlands. Frequent co-authors include Christopher J. Thompson, Paul M. Stewart, William Tormey, Chris Thompson, Amar Agha, Rosemary Dineen, Andrew Toogood, John Ayuk, Jeremy Tomlinson and Michael C. Sheppard. Their work appears in journals such as Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Endocrinology and PLoS neglected tropical diseases.

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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