M. Cumberbatch

1.4k citations
33 papers · 1.2k · h-index 21

Impact in

Papers in

M. Cumberbatch

33 papers receiving 1.1k citations

Peers

M. Cumberbatch
Comparison fields: 5 of 79
  • Psychiatry and Mental health 407
  • Cellular and Molecular Neuroscience 450
  • Physiology 480
  • Pathology and Forensic Medicine 236
  • Endocrine and Autonomic Systems 69
Replace G.S. Mason with:
G.S. Mason United States
M.J. Perren United Kingdom
Sara L. Shepheard United Kingdom
M. Gail Murphy United States
A. Agnoli Italy
Nicole N. Scheff United States
Balázs Jakab Hungary
Alessandro Capuano Italy
RJ Hargreaves United States
Délia Szok Hungary
M. Cumberbatch relative to G.S. Mason United States G.S. Mason's profile →
Citations per field
00.5×1.5×2.1×
G.S. Mason · 1×
Citations per year

Countries citing papers authored by M. Cumberbatch

Since Specialization
Citations

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

Fields of papers citing papers by M. Cumberbatch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Cumberbatch, 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 M. Cumberbatch Line = papers co-authored together M. Cumberbatch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997129
2 2000126
3 199995
4 199987
5 200277
6 200266
7 199554
8 200148
9 199848
10 199847
11 199444
12 198144
13 198139
14 199439
15 199233
16 200231
17 199430
18 199729
19 198329
20 197826

About M. Cumberbatch

M. Cumberbatch is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Psychiatry and Mental health and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (15 papers), Neuroscience and Neuropharmacology Research (8 papers), Neuropeptides and Animal Physiology (7 papers), Migraine and Headache Studies (6 papers), Ion channel regulation and function (6 papers), Ion Transport and Channel Regulation (5 papers), Potassium and Related Disorders (5 papers) and Electrolyte and hormonal disorders (4 papers). The work is most often cited by research in Psychiatry and Mental health (407 citations), Cellular and Molecular Neuroscience (450 citations), Physiology (480 citations), Pathology and Forensic Medicine (236 citations) and Endocrine and Autonomic Systems (69 citations). M. Cumberbatch has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include G.S. Mason, David J. Williamson, Boris A. Chizh, R.G. Hill, P.M. Headley, D.B. Morgan, N.M.J. Rupniak, Richard Hargreaves, Juan F. Herrero and Sara L. Shepheard. Their work appears in journals such as Clinical Science, British Journal of Pharmacology, British Journal of Clinical Pharmacology, Neuroscience and Neuropharmacology.

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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