Guenter Daum

2.1k citations
30 papers · 1.6k · h-index 23

Impact in

Papers in

    • Sphingolipid Metabolism and Signaling 8
    • Fibroblast Growth Factor Research 4
    • Protein Kinase Regulation and GTPase Signaling 4
    • Lipid Membrane Structure and Behavior 3
    • Signaling Pathways in Disease 2
    • Proteoglycans and glycosaminoglycans research 4

Guenter Daum

29 papers receiving 1.6k citations

Peers

Guenter Daum
Comparison fields: 5 of 99
  • Immunology and Allergy 85
  • Molecular Biology 842
  • Immunology 241
  • Cancer Research 171
  • Cell Biology 177
Replace Tamara Mirzapoiazova with:
Tamara Mirzapoiazova United States
Elizabeth O. Harrington United States
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Paul T. Brinkkoetter Germany
Jaideep Moitra United States
Rok Humar Switzerland
A. Siflinger-Birnboim United States
Katsuhiko Asanuma Japan
H. Lum United States
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Citations per field
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Citations per year

Countries citing papers authored by Guenter Daum

Since Specialization
Citations

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

Fields of papers citing papers by Guenter Daum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guenter Daum. 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 Guenter Daum. The network helps show where Guenter Daum may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000208
2 2011175
3 2011112
4 2004101
5 201796
6 201596
7 199976
8 200375
9 201074
10 201166
11 200560
12 199658
13 201653
14 201644
15 202039
16 201136
17 201835
18 201629
19 200929
20 200929

About Guenter Daum

Guenter Daum is a scholar working on Molecular Biology, Cell Biology, Physiology, Surgery and Pharmacology, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (8 papers), Proteoglycans and glycosaminoglycans research (4 papers), Fibroblast Growth Factor Research (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Lipid Membrane Structure and Behavior (3 papers), Signaling Pathways in Disease (2 papers) and Apelin-related biomedical research (2 papers). The work is most often cited by research in Immunology and Allergy (85 citations), Molecular Biology (842 citations), Immunology (241 citations), Cancer Research (171 citations) and Cell Biology (177 citations). Guenter Daum has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Alexander W. Clowes, William M. Mahoney, Richard D. Kenagy, Bernhard H. Rauch, Esther Millette, Bradford C. Berk, Mark W. Majesky, Xiu Rong Dong, Virginia J. Hoglund and Ruedi Aebersold. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Circulation Research, Journal of Biological Chemistry, PLoS ONE and Diabetes.

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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