David J. Chess

1.6k citations
25 papers · 1.3k · h-index 19

Impact in

Papers in

David J. Chess

25 papers receiving 1.3k citations

Peers

David J. Chess
Comparison fields: 5 of 91
  • Cardiology and Cardiovascular Medicine 409
  • Physiology 380
  • Nutrition and Dietetics 186
  • Biochemistry 75
  • Clinical Biochemistry 55
Replace Miranda Nabben with:
Miranda Nabben Netherlands
Robert W. Schwenk Netherlands
Carl E. Hock United States
Jamie W. Meyer United States
Adriana V. Treuer United States
Gisele O. Rosas United States
Kimberley M. Mellor Australia
Madhu V. Singh United States
Søren Tullin Denmark
Sylvie Ducreux France
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Citations per field
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Citations per year

Countries citing papers authored by David J. Chess

Since Specialization
Citations

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

Fields of papers citing papers by David J. Chess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David J. Chess, 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 David J. Chess Line = papers co-authored together David J. Chess 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 2013242
2 2008148
3 2008112
4 200681
5 200979
6 200570
7 201263
8 200658
9 200849
10 201448
11 200846
12 200941
13 201541
14 200738
15 200938
16 201027
17 201321
18 201021
19 201018
20 201217

About David J. Chess

David J. Chess is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (8 papers), Adipose Tissue and Metabolism (7 papers), Mitochondrial Function and Pathology (6 papers), Cardiovascular Disease and Adiposity (5 papers), ATP Synthase and ATPases Research (4 papers), Fatty Acid Research and Health (3 papers), Diet, Metabolism, and Disease (3 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (409 citations), Physiology (380 citations), Nutrition and Dietetics (186 citations), Biochemistry (75 citations) and Clinical Biochemistry (55 citations). David J. Chess has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include William C. Stanley, Robert S. Balaban, Brian Glancy, Wayne T. Willis, Karen M. O’Shea, Agnes M. Azimzadeh, Ramzi J. Khairallah, Brian D. Hoit, Wenhong Xu and Angel Aponte. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Cardiovascular Research, Hypertension, Journal of Cardiac Failure and Journal of Microscopy.

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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