Jean Botts

1.2k citations
25 papers · 1.1k · h-index 18

Impact in

Papers in

Jean Botts

24 papers receiving 840 citations

Peers

Jean Botts
Comparison fields: 5 of 93
  • Cardiology and Cardiovascular Medicine 467
  • Cell Biology 280
  • Molecular Biology 608
  • Biophysics 47
  • Filtration and Separation 11
Replace Takamitsu Sekine with:
Takamitsu Sekine Japan
Franck Travers France
Enrico Grazi Italy
Ian P. Trayer United Kingdom
R.S. Taylor United Kingdom
Philippe Wahl France
Toshiaki Hiratsuka Japan
E G Richards United States
Jens G. Nørby Denmark
Monique Vacher France
Jean Botts relative to Takamitsu Sekine Japan Takamitsu Sekine's profile →
Citations per field
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Takamitsu Sekine · 1×
Citations per year

Countries citing papers authored by Jean Botts

Since Specialization
Citations

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

Fields of papers citing papers by Jean Botts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Jean Botts, 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 Jean Botts Line = papers co-authored together Jean Botts links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973202
2 1953172
3 195574
4 197467
5 197059
6 196853
7 198253
8 195250
9 195850
10 196635
11 196533
12 195133
13 197429
14 197927
15 198224
16 197521
17 196218
18 196717
19 196813
20 195311

About Jean Botts

Jean Botts is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Electrical and Electronic Engineering and Biomedical Engineering, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (14 papers), Muscle Physiology and Disorders (5 papers), Cardiovascular Effects of Exercise (4 papers), Muscle metabolism and nutrition (4 papers), Protein Structure and Dynamics (3 papers), Muscle activation and electromyography studies (3 papers), Enzyme Catalysis and Immobilization (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (467 citations), Cell Biology (280 citations), Molecular Biology (608 citations), Biophysics (47 citations) and Filtration and Separation (11 citations). Jean Botts has collaborated with scholars based in United States. Frequent co-authors include Manuel F. Morales, Robert A. Mendelson, T. Nihei, Fletcher B. Taylor, Deborah B. Stone, Reiji Takashi, András Mühlrád, Terrell L. Hill, Jacob J. Blum and Roxane McKay. Their work appears in journals such as Biochemistry, Archives of Biochemistry and Biophysics, Analytical Biochemistry, Physiological Reviews 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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