Jack M. Goodman

4.1k total citations
120 papers, 3.0k citations indexed

About

Jack M. Goodman is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Physiology. According to data from OpenAlex, Jack M. Goodman has authored 120 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Cardiology and Cardiovascular Medicine, 52 papers in Complementary and alternative medicine and 16 papers in Physiology. Recurrent topics in Jack M. Goodman's work include Cardiovascular and exercise physiology (52 papers), Cardiovascular Effects of Exercise (46 papers) and Heart Rate Variability and Autonomic Control (29 papers). Jack M. Goodman is often cited by papers focused on Cardiovascular and exercise physiology (52 papers), Cardiovascular Effects of Exercise (46 papers) and Heart Rate Variability and Autonomic Control (29 papers). Jack M. Goodman collaborates with scholars based in Canada, United States and Australia. Jack M. Goodman's co-authors include Scott Thomas, Michael J. Plyley, Guy Faulkner, Paul Oh, Russell T. Hepple, Zion Sasson, Edward M. Adlaf, Kenneth R. Allison, John J. M. Dwyer and Sam Liu and has published in prestigious journals such as Journal of Clinical Investigation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Jack M. Goodman

116 papers receiving 2.9k citations

Peers

Jack M. Goodman
Comparison fields: 5 of 130
  • Cardiology and Cardiovascular Medicine 1.5k
  • Complementary and alternative medicine 980
  • Physiology 650
  • Public Health, Environmental and Occupational Health 393
  • Orthopedics and Sports Medicine 384
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Citations per field, relative to Jack M. Goodman
Jack M. Goodman · 1×
Citations per year, relative to Jack M. Goodman
Jack M. Goodman · 1×

Countries citing papers authored by Jack M. Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Jack M. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack M. Goodman

This figure shows the co-authorship network connecting the top 25 collaborators of Jack M. Goodman. A scholar is included among the top collaborators of Jack M. Goodman 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 Jack M. Goodman. Jack M. Goodman 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
# Work Indexed citations
1 4
2 1
3 1
4 3
5 1
6 40
7 49
8 12
9 27
10 8
11 34
12 15
13 17
14 44
15 3
16 36
17 155
18 91
19 87
20 20

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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