Barbara Pfleger

1.5k citations
21 papers · 1.4k · h-index 17

Impact in

Papers in

Barbara Pfleger

20 papers receiving 1.2k citations

Peers

Barbara Pfleger
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 508
  • Cancer Research 355
  • Biochemistry 121
  • Surgery 642
  • Biochemistry 70
Replace P. Alaupovic with:
P. Alaupovic United States
D. Reichl United Kingdom
George W. Melchior United States
R J Havel United States
D A Hardman United States
Teizo Sata Japan
T L Swenson United States
V. Clavey France
Taku Yamamura Japan
Y L Marcel Canada
Barbara Pfleger relative to P. Alaupovic United States P. Alaupovic's profile →
Citations per field
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Citations per year

Countries citing papers authored by Barbara Pfleger

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Barbara Pfleger Line = papers co-authored together Barbara Pfleger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974208
2 1974163
3 1990124
4 1979107
5 198896
6 197189
7 197977
8 199175
9 198870
10 198261
11 197161
12 199248
13 198840
14 199037
15 199127
16 197526
17 201218
18 196713
19 198512
20 19809

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 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (9 papers), Cholesterol and Lipid Metabolism (5 papers), Lipoproteins and Cardiovascular Health (4 papers), Lipid metabolism and biosynthesis (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 (508 citations), Cancer Research (355 citations), Biochemistry (121 citations), Surgery (642 citations) and Biochemistry (70 citations). Barbara Pfleger has collaborated with scholars based in United States, Austria and Australia. Frequent co-authors include Gustav Schonfeld, Robert T. Kitchens, Sheng Jiao, Thomas Cole, Robert S. Lees, Elaine S. Krul, Rai Ajit K. Srivastava, Richard E. Ostlund, Yosef Kleinman and Wolfgang Patsch. Their work appears in journals such as Journal of Lipid Research, Journal of Clinical Investigation, Metabolism, Gastroenterology 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.

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