J A Flatman

3.0k citations
36 papers · 2.5k · h-index 25

Impact in

Papers in

J A Flatman

36 papers receiving 2.3k citations

Peers

J A Flatman
Comparison fields: 5 of 96
  • Cellular and Molecular Neuroscience 1.4k
  • Complementary and alternative medicine 220
  • Molecular Biology 1.4k
  • Cognitive Neuroscience 373
  • Cardiology and Cardiovascular Medicine 369
Replace H. Hällman with:
H. Hällman Sweden
B. P. Richardson United Kingdom
J. N. Weakly United States
Daniel P. McLaughlin United Kingdom
David Robertson United States
R. Quirion Canada
Thomas J. Martin United States
I. Jurna Germany
F. Cesselin France
Takao Kubo Japan
J A Flatman relative to H. Hällman Sweden H. Hällman's profile →
Citations per field
00.5×9.2×
H. Hällman · 1×
Citations per year

Countries citing papers authored by J A Flatman

Since Specialization
Citations

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

Fields of papers citing papers by J A Flatman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J A Flatman. 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 J A Flatman. The network helps show where J A Flatman may publish in the future.

Co-authors

The 24 scholars most cited alongside J A Flatman, 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 J A Flatman Line = papers co-authored together J A Flatman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977333
2 1980205
3 1993181
4 1983158
5 1984139
6 1986136
7 1982124
8 1979111
9 1999108
10 197995
11 198688
12 199383
13 199582
14 198764
15 200961
16 198755
17 200954
18 197644
19 199844
20 198642

About J A Flatman

J A Flatman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Biomedical Engineering, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ion channel regulation and function (21 papers), Neuroscience and Neuropharmacology Research (15 papers), Neuroscience and Neural Engineering (13 papers), Muscle activation and electromyography studies (8 papers), Neural dynamics and brain function (5 papers), Pharmacological Effects and Assays (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Complementary and alternative medicine (220 citations), Molecular Biology (1.4k citations), Cognitive Neuroscience (373 citations) and Cardiology and Cardiovascular Medicine (369 citations). J A Flatman has collaborated with scholars based in Denmark, United States and Switzerland. Frequent co-authors include Torben Clausen, I. Engberg, W. E. Crill, P. C. Schwindt, Steen Nedergaard, J.D.C. Lambert, Carl E. Stafstrom, Ole Bækgaard Nielsen, Holger Nilsson and Michael J. Mulvany. Their work appears in journals such as The Journal of Physiology, Journal of Neurophysiology, Brain Research, Pflügers Archiv - European Journal of Physiology and The Journal of General Physiology.

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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