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 96
  • Cardiology and Cardiovascular Medicine 486
  • Physiology 484
  • Biochemistry 95
  • Nutrition and Dietetics 200
  • Clinical Biochemistry 61
Replace Miranda Nabben with:
Miranda Nabben Netherlands
Carl E. Hock United States
Madhu V. Singh United States
Steffen Daub Germany
Kimberley M. Mellor Australia
Jamie W. Meyer United States
Miroslav Baláž Slovakia
Dan Ungureanu-Longrois France
Maria Peleli Sweden
Christina Koutsari United States
David J. Chess relative to Miranda Nabben Netherlands Miranda Nabben's profile →
Citations per field
00.5×3.4×
Miranda Nabben · 1×
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 2013237
2 2008146
3 2008112
4 200681
5 200977
6 200569
7 201263
8 200658
9 200849
10 201447
11 200846
12 200941
13 201540
14 200938
15 200738
16 201027
17 201021
18 201320
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 Adipose Tissue and Metabolism (10 papers), Cardiovascular Function and Risk Factors (8 papers), Cardiovascular Disease and Adiposity (7 papers), Mitochondrial Function and Pathology (6 papers), ATP Synthase and ATPases Research (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Diet, Metabolism, and Disease (3 papers) and Fatty Acid Research and Health (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (486 citations), Physiology (484 citations), Biochemistry (95 citations), Nutrition and Dietetics (200 citations) and Clinical Biochemistry (61 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, Ramzi J. Khairallah, Agnes M. Azimzadeh, 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, Journal of Microscopy, Hypertension and Journal of Cardiac Failure.

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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