Gary Bailin

533 citations
35 papers · 470 · h-index 12

Impact in

Papers in

Gary Bailin

35 papers receiving 401 citations

Peers

Gary Bailin
Comparison fields: 5 of 70
  • Cardiology and Cardiovascular Medicine 232
  • Animal Science and Zoology 111
  • Cell Biology 142
  • Molecular Biology 293
  • Clinical Biochemistry 13
Replace Helmut Mueller with:
Helmut Mueller United States
Hans Oppenheimer United States
Mary D. Pato Canada
Dixie W. Frederiksen United States
D. M. Needham United Kingdom
Mayis Aliev Russia
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Curtis E. Harris United States
Qunying Yuan United States
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Citations per field
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Citations per year

Countries citing papers authored by Gary Bailin

Since Specialization
Citations

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

Fields of papers citing papers by Gary Bailin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Gary Bailin, 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 Gary Bailin Line = papers co-authored together Gary Bailin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196679
2 196857
3 196943
4 199628
5 197227
6 197922
7 196722
8 196919
9 196816
10 199015
11 197113
12 196811
13 198010
14 19829
15 19739
16 19669
17 19769
18 19818
19
Automated thermal fractionation of serum hexosaminidase: effects of alteration in reaction variables and implications for Tay-Sachs disease heterozygote screening.
19778
20 19778

About Gary Bailin

Gary Bailin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Animal Science and Zoology and Physiology, having authored 35 papers that have together received 470 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (14 papers), Muscle Physiology and Disorders (11 papers), Muscle metabolism and nutrition (10 papers), Meat and Animal Product Quality (8 papers), Ion channel regulation and function (8 papers), Pharmacological Effects and Assays (4 papers), Cardiovascular Effects of Exercise (3 papers) and Muscle activation and electromyography studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (232 citations), Animal Science and Zoology (111 citations), Cell Biology (142 citations), Molecular Biology (293 citations) and Clinical Biochemistry (13 citations). Gary Bailin has collaborated with scholars based in United States and Japan. Frequent co-authors include Michael Bárány, Kate Bárány, Eric Gaetjens, Michihiko Tada, Hans Oppenheimer, Gad Avigad, A. Lukton, Arnold M. Katz, P.F. Hirsch and Huang. Their work appears in journals such as Journal of Biological Chemistry, Archives of Biochemistry and Biophysics, Biochimica et Biophysica Acta (BBA) - Bioenergetics, The Journal of Organic Chemistry and FEBS Letters.

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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