Patsy Wang‐Iverson
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Cancer, Lipids, and Metabolism
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 4
- Diabetes Management and Research 1
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
- Immune Response and Inflammation 2
- Atherosclerosis and Cardiovascular Diseases 1
- Co-authors
- W. Virgil Brown (6 shared papers)Henry N. Ginsberg (3 shared papers)Ngoc‐Anh Le (3 shared papers)Ira J. Goldberg (2 shared papers)R A Norum (1 shared paper)J C Gibson (1 shared paper)A Rubinstein (1 shared paper)Joyce Corey Gibson (2 shared papers)
- Journals
- Annals of the New York Academy of Sciences (2 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Clinical Investigation (1 paper)Infection and Immunity (1 paper)Biochemical Journal (1 paper)
- Partner nations
- United States
In The Last Decade
Patsy Wang‐Iverson
9 papers receiving 522 citations
Peers
Comparison fields: 5 of 63
- Endocrinology, Diabetes and Metabolism 281
- Cancer Research 140
- Cardiology and Cardiovascular Medicine 207
- Surgery 239
- Biochemistry 35
Countries citing papers authored by Patsy Wang‐Iverson
This map shows the geographic impact of Patsy Wang‐Iverson'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 Patsy Wang‐Iverson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patsy Wang‐Iverson more than expected).
Fields of papers citing papers by Patsy Wang‐Iverson
This network shows the impact of papers produced by Patsy Wang‐Iverson. 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 Patsy Wang‐Iverson. The network helps show where Patsy Wang‐Iverson may publish in the future.
Co-authors
The 19 scholars most cited alongside Patsy Wang‐Iverson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 359 | |
| 2 | 1985 | 38 | |
| 3 | 1982 | 37 | |
| 4 | 1978 | 31 | |
| 5 | 1983 | 25 | |
| 6 | 1985 | 22 | |
| 7 | 1978 | 18 | |
| 8 | 1982 | 9 | |
| 9 | 1989 | 9 |
About Patsy Wang‐Iverson
Patsy Wang‐Iverson is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology, Surgery, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 9 papers that have together received 548 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (3 papers), Lipid metabolism and disorders (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Protease and Inhibitor Mechanisms (2 papers), Immune Response and Inflammation (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (281 citations), Cancer Research (140 citations), Cardiology and Cardiovascular Medicine (207 citations), Surgery (239 citations) and Biochemistry (35 citations). Patsy Wang‐Iverson has collaborated with scholars based in United States. Frequent co-authors include W. Virgil Brown, Henry N. Ginsberg, Ngoc‐Anh Le, Ira J. Goldberg, R A Norum, J C Gibson, A Rubinstein, Joyce Corey Gibson, John K. Spitznagel and KB Pryzwansky. Their work appears in journals such as Annals of the New York Academy of Sciences, Biochemical and Biophysical Research Communications, Journal of Clinical Investigation, Infection and Immunity and Biochemical Journal.
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.