Barbara Pfleger
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
Papers in
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- Cancer, Lipids, and Metabolism 8
- Protease and Inhibitor Mechanisms 2
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- Glycosylation and Glycoproteins Research 2
- Co-authors
- Gustav Schonfeld (18 shared papers)Sheng Jiao (3 shared papers)Robert T. Kitchens (3 shared papers)Thomas Cole (4 shared papers)Robert S. Lees (1 shared paper)Elaine S. Krul (3 shared papers)Rai Ajit K. Srivastava (3 shared papers)Richard E. Ostlund (1 shared paper)
- Journals
- Journal of Clinical Investigation (5 papers)Journal of Lipid Research (5 papers)Metabolism (2 papers)Journal of Biological Chemistry (1 paper)American Journal of Physiology-Legacy Content (1 paper)
- Partner nations
- United StatesAustriaAustralia
In The Last Decade
Barbara Pfleger
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 67
- Endocrinology, Diabetes and Metabolism 477
- Cancer Research 336
- Biochemistry 116
- Surgery 606
- Biochemistry 70
Countries citing papers authored by Barbara Pfleger
This map shows the geographic impact of Barbara Pfleger'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 Barbara Pfleger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Pfleger more than expected).
Fields of papers citing papers by Barbara Pfleger
This network shows the impact of papers produced by Barbara Pfleger. 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 Barbara Pfleger. The network helps show where Barbara Pfleger may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Pfleger, 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 | 1974 | 198 | |
| 2 | 1974 | 152 | |
| 3 | 1990 | 123 | |
| 4 | 1979 | 101 | |
| 5 | 1988 | 93 | |
| 6 | 1971 | 84 | |
| 7 | 1979 | 73 | |
| 8 | 1991 | 71 | |
| 9 | 1988 | 70 | |
| 10 | 1982 | 60 | |
| 11 | 1971 | 53 | |
| 12 | 1992 | 45 | |
| 13 | 1988 | 37 | |
| 14 | 1990 | 37 | |
| 15 | 1991 | 27 | |
| 16 | 1975 | 25 | |
| 17 | 2012 | 18 | |
| 18 | 1985 | 12 | |
| 19 | 1967 | 11 | |
| 20 | 1980 | 9 |
About Barbara Pfleger
Barbara Pfleger is a scholar working on Cancer Research, Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (8 papers), Cholesterol and Lipid Metabolism (5 papers), Lipid metabolism and biosynthesis (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Lipid metabolism and disorders (3 papers), Glycosylation and Glycoproteins Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (477 citations), Cancer Research (336 citations), Biochemistry (116 citations), Surgery (606 citations) and Biochemistry (70 citations). Barbara Pfleger has collaborated with scholars based in United States, Austria and Australia. Frequent co-authors include Gustav Schonfeld, Sheng Jiao, Robert T. Kitchens, Thomas Cole, Robert S. Lees, Elaine S. Krul, Rai Ajit K. Srivastava, Richard E. Ostlund, Yosef Kleinman and S W Weidman. Their work appears in journals such as Journal of Clinical Investigation, Journal of Lipid Research, Metabolism, Journal of Biological Chemistry and American Journal of Physiology-Legacy Content.
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.