David M. Capuzzi

4.5k citations
75 papers · 3.3k · h-index 31

Impact in

Papers in

David M. Capuzzi

74 papers receiving 3.1k citations

Peers

David M. Capuzzi
Comparison fields: 5 of 124
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Surgery 1.5k
  • Clinical Biochemistry 190
  • Cancer Research 319
  • Pharmacology 162
Replace Y. Antero Kesäniemi with:
Y. Antero Kesäniemi Finland
Gen Yoshino Japan
Carlos A. Dujovne United States
Junji Koizumi Japan
Shui‐Ping Zhao China
D.W. Erkelens Netherlands
Ryoyu Takeda Japan
Leiv Ose Norway
Henry Mok United States
Zac Varghese United Kingdom
David M. Capuzzi relative to Y. Antero Kesäniemi Finland Y. Antero Kesäniemi's profile →
Citations per field
00.5×2.7×
Y. Antero Kesäniemi · 1×
Citations per year

Countries citing papers authored by David M. Capuzzi

Since Specialization
Citations

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

Fields of papers citing papers by David M. Capuzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008236
2 1998192
3 2000179
4 2000169
5 2009168
6 1973126
7 1975124
8 1998116
9 200394
10 197493
11 199692
12 199685
13 200080
14 199879
15 197471
16 199270
17 200069
18 200465
19 200360
20 198560

About David M. Capuzzi

David M. Capuzzi is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology and Oncology, having authored 75 papers that have together received 3.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Liver Disease Diagnosis and Treatment (9 papers), Metabolism and Genetic Disorders (6 papers), Cholesterol and Lipid Metabolism (6 papers), Lipid metabolism and biosynthesis (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Thyroid Disorders and Treatments (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Surgery (1.5k citations), Clinical Biochemistry (190 citations), Cancer Research (319 citations) and Pharmacology (162 citations). David M. Capuzzi has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include John Morgan, John R. Guyton, Simeón Margolis, Osvaldo Brusco, Charles Intenzo, John L. Cameron, George D. Zuidema, Anne C. Goldberg, Vicki L. Rothman and Christina Carey. Their work appears in journals such as The American Journal of Cardiology, Biochemical and Biophysical Research Communications, Radiographics, Cancer and Current Atherosclerosis Reports.

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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