Günter Daum

3.0k citations
55 papers · 2.5k indexed · h-index 27

Impact in

    • Cell Adhesion Molecules Research
    • Protein Kinase Regulation and GTPase Signaling
    • Protein Tyrosine Phosphatases
    • Melanoma and MAPK Pathways
    • Sphingolipid Metabolism and Signaling
    • Angiogenesis and VEGF in Cancer

Papers in

Günter Daum

53 papers receiving 2.4k citations

Peers

Günter Daum
Comparison fields: 5 of 113
  • Immunology and Allergy 200
  • Molecular Biology 1.7k
  • Cell Biology 341
  • Immunology 357
  • Cancer Research 250
Replace Mara Brancaccio with:
Mara Brancaccio Italy
Marina Macı́as-Silva Mexico
Graciela B. Sala‐Newby United Kingdom
Fred E. Indig United States
Corrado Garbi Italy
Nahum Meller United States
Richard T. Waldron United States
Timothy A. Fields United States
Steven Swendeman United States
Yoichiro Matsuoka Japan
Günter Daum relative to Mara Brancaccio Italy Mara Brancaccio's profile →
Citations per field
00.5×1.5×
Mara Brancaccio · 1×
Citations per year

Countries citing papers authored by Günter Daum

Since Specialization
Citations

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

Fields of papers citing papers by Günter Daum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20217
2 202115
3 20215
4 20177
5 20150
6 201188
7 200914
8 200768
9 200727
10 200424
11 20044
12 200417
13 200342
14 200345
15 200111
16 2000155
17 199978
18 199831
19 1994448
20 19899

About Günter Daum

Günter Daum is a scholar working on Aging, Immunology and Allergy, Hematology, Immunology and Molecular Biology, having authored 55 papers that have together received 2.5k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (15 papers), Erythrocyte Function and Pathophysiology (6 papers), Nitric Oxide and Endothelin Effects (6 papers), Protein Tyrosine Phosphatases (6 papers), Angiogenesis and VEGF in Cancer (6 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Galectins and Cancer Biology (5 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Immunology and Allergy (200 citations), Molecular Biology (1.7k citations), Cell Biology (341 citations), Immunology (357 citations) and Cancer Research (250 citations). Günter Daum has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Alexander W. Clowes, Jakob Troppmair, Iris Eisenmann-Tappe, Hans-Werner Fries, Ulf R. Rapp, Andreas Kalmes, Joseph Schlessinger, Edmond H. Fischer, Ulrich Walter and Judith A. Abraham. Their work appears in journals such as Circulation Research, Journal of Vascular Surgery, Journal of Biological Chemistry, FEBS Letters and Arteriosclerosis Thrombosis and Vascular Biology.

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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