Darrell V. Pavitt

23 papers receiving 953 citations

Peers

Darrell V. Pavitt
Comparison fields: 5 of 93
  • Nephrology 342
  • Endocrinology, Diabetes and Metabolism 132
  • Cardiology and Cardiovascular Medicine 171
  • Pathology and Forensic Medicine 124
  • Surgery 274
Replace Giovanni M. Puddu with:
Giovanni M. Puddu Italy
En Yin Lai China
Alluru S. Reddi United States
Osamu Igawa Japan
Kazuhíde Oginö Japan
Ulrike Raff Germany
Norio Komai Japan
Geoffrey Berg United Kingdom
Masahito Imanishi Japan
Kathleen G. Raman United States
Darrell V. Pavitt relative to Giovanni M. Puddu Italy Giovanni M. Puddu's profile →
Citations per field
00.5×1.5×2.4×
Giovanni M. Puddu · 1×
Citations per year

Countries citing papers authored by Darrell V. Pavitt

Since Specialization
Citations

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

Fields of papers citing papers by Darrell V. Pavitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darrell V. Pavitt. 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 Darrell V. Pavitt. The network helps show where Darrell V. Pavitt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002458
2 201167
3 199542
4 199537
5 201536
6 200233
7 200630
8 200830
9 199330
10 201225
11 201424
12 199323
13 200223
14 200921
15 199320
16 199218
17 199316
18 200412
19 199410
20 201010

About Darrell V. Pavitt

Darrell V. Pavitt is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Nephrology and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 978 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (3 papers), Receptor Mechanisms and Signaling (3 papers), Cardiovascular Syncope and Autonomic Disorders (3 papers), Diabetes Management and Research (2 papers), Cancer, Lipids, and Metabolism (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Heart Rate Variability and Autonomic Control (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Nephrology (342 citations), Endocrinology, Diabetes and Metabolism (132 citations), Cardiology and Cardiovascular Medicine (171 citations), Pathology and Forensic Medicine (124 citations) and Surgery (274 citations). Darrell V. Pavitt has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include D.A. Reaveley, Mathias Rauchhaus, Rainer Hambrecht, Francisco Leyva‐Leon, Wolfram Doehner, Nina Schoene, Andrew J.S. Coats, Stefan D. Anker, Gerhard Schüler and Desmond G. Johnston. Their work appears in journals such as Neurology, Journal of Hypertension, Atherosclerosis, Annals of Clinical Biochemistry International Journal of Laboratory Medicine and American Journal of Kidney Diseases.

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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