Tom Büchse

558 citations
10 papers · 446 · h-index 8

Impact in

  • Hematology top 10%
    • Erythropoietin and Anemia Treatment
    • Galectins and Cancer Biology
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

    • Protein Kinase Regulation and GTPase Signaling 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Signaling Pathways in Disease 1
    • Cytokine Signaling Pathways and Interactions 6

Tom Büchse

10 papers receiving 433 citations

Peers

Tom Büchse
Comparison fields: 5 of 68
  • Hematology 97
  • Immunology 161
  • Genetics 47
  • Molecular Biology 245
  • Oncology 90
Replace Titus Sparna with:
Titus Sparna Germany
I. L. O. Ponting United Kingdom
Marta Derecka United States
Josef Brock Germany
Daniela Di Marcantonio United States
Luca A. Petruccelli Canada
Katja Björklöf Switzerland
C Shelly United States
Ruo-Pan Huang United States
Tom Büchse relative to Titus Sparna Germany Titus Sparna's profile →
Citations per field
00.5×1.5×2.0×
Titus Sparna · 1×
Citations per year

Countries citing papers authored by Tom Büchse

Since Specialization
Citations

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

Fields of papers citing papers by Tom Büchse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 200992
2 200384
3 200380
4 200162
5 200848
6 200030
7 201124
8 200514
9 20056
10 20086

About Tom Büchse

Tom Büchse is a scholar working on Molecular Biology, Oncology, Physiology, Immunology and Computational Theory and Mathematics, having authored 10 papers that have together received 446 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Signaling Pathways in Disease (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Hematology (97 citations), Immunology (161 citations), Genetics (47 citations), Molecular Biology (245 citations) and Oncology (90 citations). Tom Büchse has collaborated with scholars based in Germany, Canada and Egypt. Frequent co-authors include Gerald Krystal, Janet Kalesnikoff, Michael J. Rauh, Laura M. Sly, Thomas Bittorf, Robert Jaster, Josef Brock, Eberhard Krause, Christian Weber and Stefanie Dimmeler. Their work appears in journals such as Cellular Signalling, Molecular & Cellular Proteomics, Circulation Research, Journal of Biological Chemistry and Histochemistry and Cell 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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