J A Flatman

3.0k citations
40 papers · 2.7k · h-index 26

Impact in

Papers in

J A Flatman

40 papers receiving 2.5k citations

Peers

J A Flatman
Comparison fields: 5 of 94
  • Cellular and Molecular Neuroscience 1.5k
  • Complementary and alternative medicine 213
  • Molecular Biology 1.5k
  • Cognitive Neuroscience 410
  • Cardiology and Cardiovascular Medicine 355
Replace Konrad Löffelholz with:
Konrad Löffelholz Germany
H. Hällman Sweden
Pekka Jäkälä Finland
J. N. Weakly United States
D J Reis United States
Bai‐Chuang Shyu Taiwan
I. Jurna Germany
T. C. Westfall United States
A.D. Corbett United Kingdom
Daniel P. McLaughlin United Kingdom
J A Flatman relative to Konrad Löffelholz Germany Konrad Löffelholz's profile →
Citations per field
00.5×2.5×
Konrad Löffelholz · 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 25 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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977363
2 1980214
3 1993193
4 1983171
5 1984162
6 1986142
7 1982139
8 1979129
9 1999108
10 1979108
11 198691
12 199386
13 199582
14 198768
15 200963
16 198762
17 199061
18 200955
19 197652
20 199844

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 40 papers that have together received 2.7k indexed citations. Recurring topics across this work include Ion channel regulation and function (21 papers), Neuroscience and Neuropharmacology Research (17 papers), Neuroscience and Neural Engineering (15 papers), Muscle activation and electromyography studies (8 papers), Neural dynamics and brain function (6 papers), Pharmacological Effects and Assays (4 papers), Photoreceptor and optogenetics research (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Complementary and alternative medicine (213 citations), Molecular Biology (1.5k citations), Cognitive Neuroscience (410 citations) and Cardiology and Cardiovascular Medicine (355 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, J.D.C. Lambert, Steen Nedergaard, Carl E. Stafstrom, Holger Nilsson, Michael J. Mulvany and Ole Bækgaard Nielsen. Their work appears in journals such as The Journal of Physiology, Pflügers Archiv - European Journal of Physiology, Brain Research, British Journal of Pharmacology 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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