Beat Bornhäuser

11.3k citations
63 papers · 1.9k · h-index 24

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Cell death mechanisms and regulation
    • Muscle Physiology and Disorders
    • Protein Degradation and Inhibitors

Papers in

Beat Bornhäuser

59 papers receiving 1.8k citations

Peers

Beat Bornhäuser
Comparison fields: 5 of 99
  • Hematology 290
  • Molecular Biology 1.2k
  • Oncology 343
  • Immunology 249
  • Cancer Research 173
Replace Ayumi Kitano with:
Ayumi Kitano United States
Giovanni Perini Italy
Pauline Isakson Sweden
J D Gearhart United States
Giorgio Malpeli Italy
Benny Motro Israel
Benoît Bilanges United Kingdom
Jorrit M. Enserink Norway
Riichi Takahashi Japan
Katja Hebestreit United States
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Citations per field
00.5×2.5×
Ayumi Kitano · 1×
Citations per year

Countries citing papers authored by Beat Bornhäuser

Since Specialization
Citations

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

Fields of papers citing papers by Beat Bornhäuser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010253
2 1999203
3 2019195
4 2011100
5 201692
6 201684
7 200060
8 201259
9 200359
10 201158
11 200751
12 201749
13 201349
14 199643
15 201842
16 202135
17 201732
18 201932
19 201929
20 202227

About Beat Bornhäuser

Beat Bornhäuser is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Oncology, Hematology and Immunology, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (26 papers), Acute Myeloid Leukemia Research (9 papers), Cell death mechanisms and regulation (9 papers), CAR-T cell therapy research (9 papers), Ubiquitin and proteasome pathways (6 papers), Signaling Pathways in Disease (5 papers), Protein Degradation and Inhibitors (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Hematology (290 citations), Molecular Biology (1.2k citations), Oncology (343 citations), Immunology (249 citations) and Cancer Research (173 citations). Beat Bornhäuser has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Jean‐Pierre Bourquin, Dan Lindholm, Gunnar Cario, Martin Schrappe, Irène Knuesel, Richard A. Zuellig, Marcus Schaub, Jean‐Marc Fritschy, Martin Stanulla and Felix Niggli. Their work appears in journals such as Blood, Leukemia, Journal of Biological Chemistry, Cancer Cell and Nature Communications.

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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