J. M. Ritchie

10.3k citations
146 papers · 7.8k indexed · 2 hit papers · h-index 51
Topics
Ion channel regulation and function (44 papers)Neuroscience and Neural Engineering (31 papers)Neuroscience and Neuropharmacology Research (27 papers)

In The Last Decade

J. M. Ritchie

128 papers receiving 6.5k citations

Hit Papers

The physiological cost of negative work195220261976200119521972100200300400

Peers

J. M. Ritchie
Comparison fields: 5 of 168
  • Cellular and Molecular Neuroscience 4.4k
  • Molecular Biology 3.8k
  • Physiology 1.0k
  • Biomedical Engineering 950
  • Cardiology and Cardiovascular Medicine 923
Replace S. Thesleff with:
S. Thesleff Sweden
S. Rock Levinson United States
J. Oliver Dolly United Kingdom
Masami Takahashi Japan
Luc Maroteaux France
Lori L. Isom United States
Clay M. Armstrong United States
Joel A. Black United States
Ralf Schoepfer United Kingdom
Frank H. Yu United States
J. M. Ritchie relative to S. Thesleff Sweden S. Thesleff's profile →
Citations per field
00.5×1.5×2.2×
S. Thesleff · 1×
Citations per year

Countries citing papers authored by J. M. Ritchie

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Ritchie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. M. Ritchie

This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Ritchie. A scholar is included among the top collaborators of J. M. Ritchie 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 J. M. Ritchie. J. M. Ritchie 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
#WorkIndexed citations
1 1
2 10
3 2
4 33
5 28
6 11
7 45
8 122
9 64
10 38
11 317
12
The binding of labelled tetrodotoxin and cobra toxin by the rat diaphragm.
3
13 36
14
Seven expressionist plays : Kokoschka to Barlach
1
15 74
16 27
17 23
18 138
19 76
20 70

About J. M. Ritchie

J. M. Ritchie is a scholar working on Cellular and Molecular Neuroscience, Environmental Chemistry and Sensory Systems, having authored 146 papers that have together received 7.8k indexed citations. Recurring topics across this work include Ion channel regulation and function (44 papers), Neuroscience and Neural Engineering (31 papers) and Neuroscience and Neuropharmacology Research (27 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.4k citations), Developmental Neuroscience (526 citations) and Environmental Chemistry (561 citations). J. M. Ritchie has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include R. B. Rogart, Shing Yan Chiu, H P Rang, W. W. Douglas, R. W. Straub, B. C. Abbott, Paul Greengard, R. D. Keynes, Brenda Bigland and Gary R. Strichartz. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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