Tom Büchse

562 citations
10 papers · 461 · h-index 8

Impact in

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

Papers in

    • Cytokine Signaling Pathways and Interactions 6
    • PI3K/AKT/mTOR signaling in cancer 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • CRISPR and Genetic Engineering 1
    • Glycosylation and Glycoproteins Research 1

Tom Büchse

10 papers receiving 446 citations

Peers

Tom Büchse
Comparison fields: 5 of 67
  • Hematology 91
  • Immunology 152
  • Genetics 40
  • Molecular Biology 224
  • Oncology 76
Replace Ruo-Pan Huang with:
Ruo-Pan Huang United States
Thomas Bittorf Germany
Jayna J. Mistry United Kingdom
Zakar H. Mnjoyan United States
Yuichi Yahagi Japan
Monique Breton‐Douillon France
Steffen Groß Germany
Lie Di United States
Kathryn McIntosh United Kingdom
Paulina Podszywalow‐Bartnicka Poland
Tom Büchse relative to Ruo-Pan Huang United States Ruo-Pan Huang's profile →
Citations per field
00.5×1.5×1.8×
Ruo-Pan Huang · 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 200999
2 200381
3 200380
4 200165
5 200851
6 200032
7 201124
8 200515
9 20058
10 20086

About Tom Büchse

Tom Büchse is a scholar working on Oncology, Molecular Biology, Immunology, Physiology and Hematology, having authored 10 papers that have together received 461 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Erythrocyte Function and Pathophysiology (2 papers), CRISPR and Genetic Engineering (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Hematology (91 citations), Immunology (152 citations), Genetics (40 citations), Molecular Biology (224 citations) and Oncology (76 citations). Tom Büchse has collaborated with scholars based in Germany, Canada and United Kingdom. Frequent co-authors include Gerald Krystal, Michael J. Rauh, Laura M. Sly, Janet Kalesnikoff, Thomas Bittorf, Robert Scott Jaster, Josef Brock, Eberhard Krause, Christian Weber and Alexandra Aicher. Their work appears in journals such as Cellular Signalling, Experimental Hematology, PROTEOMICS, Circulation Research and Journal of Biological Chemistry.

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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