T. E. Barman

688 citations
19 papers · 602 indexed · h-index 14

Impact in

Papers in

T. E. Barman

19 papers receiving 552 citations

Peers

T. E. Barman
Comparison fields: 5 of 99
  • Cardiology and Cardiovascular Medicine 257
  • Cell Biology 127
  • Molecular Biology 391
  • Cellular and Molecular Neuroscience 37
  • Endocrinology, Diabetes and Metabolism 28
Replace Jean C. Grammer with:
Jean C. Grammer United States
Peter M.D. Hardwicke United States
Hylary R. Trayer United Kingdom
R C Lu United States
Lars Backman Sweden
Liselotte Plesner Denmark
Stephen P. Chock United States
Jean‐Jacques Béchet France
Helen R. Gilbert United States
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T. E. Barman relative to Jean C. Grammer United States Jean C. Grammer's profile →
Citations per field
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Citations per year

Countries citing papers authored by T. E. Barman

Since Specialization
Citations

This map shows the geographic impact of T. E. Barman'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 T. E. Barman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. E. Barman more than expected).

Fields of papers citing papers by T. E. Barman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. E. Barman. 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 T. E. Barman. The network helps show where T. E. Barman may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1992194
2 196446
3 198337
4 200836
5 200635
6 198435
7 200630
8 198330
9 198426
10 198623
11 198523
12 199221
13 199116
14 199013
15 198813
16 198910
17 19777
18
Enzyme Handbook Supplement 1
19745
19
The myofibril as a model for muscle fiber ATPase.
19952

About T. E. Barman

T. E. Barman is a scholar working on Cardiology and Cardiovascular Medicine, Biochemistry, Molecular Biology, Biophysics and Materials Chemistry, having authored 19 papers that have together received 602 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (11 papers), Ion channel regulation and function (4 papers), Enzyme Structure and Function (4 papers), Muscle Physiology and Disorders (3 papers), Force Microscopy Techniques and Applications (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Protein Structure and Dynamics (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (257 citations), Cell Biology (127 citations), Molecular Biology (391 citations), Cellular and Molecular Neuroscience (37 citations) and Endocrinology, Diabetes and Metabolism (28 citations). T. E. Barman has collaborated with scholars based in France, Germany and Spain. Frequent co-authors include Franck Travers, Christian Herrmann, John L. Wray, Josep A. Biosca, H. Gutfreund, W. N. Aldridge, Chiara Tesi, Corinne Lionne, Stuart R.W. Bellamy and Dominique Mornet. Their work appears in journals such as Biochemistry, FEBS Letters, Biochemical Journal, Infectious Disorders - Drug Targets and Cellular and Molecular Life 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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