Beat Bornhäuser

11.6k citations
64 papers · 2.0k · h-index 23

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

61 papers receiving 1.9k citations

Peers

Beat Bornhäuser
Comparison fields: 5 of 101
  • Hematology 277
  • Molecular Biology 1.1k
  • Oncology 324
  • Cellular and Molecular Neuroscience 217
  • Immunology 238
Replace Giovanni Perini with:
Giovanni Perini Italy
Pauline Isakson Sweden
Giorgio Malpeli Italy
Jorrit M. Enserink Norway
Manuel Reina Spain
Riichi Takahashi Japan
Lucy Ghoda United States
Dario De Cesare Italy
Stéphanie Le Gras France
Jeff Mann United States
Beat Bornhäuser relative to Giovanni Perini Italy Giovanni Perini's profile →
Citations per field
00.5×1.7×
Giovanni Perini · 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 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010268
2 1999210
3 2019204
4 2011109
5 201695
6 201685
7 201160
8 200060
9 200360
10 201259
11 200754
12 201752
13 199651
14 201350
15 201842
16 202138
17 201936
18 201734
19 201032
20 202229

About Beat Bornhäuser

Beat Bornhäuser is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Oncology, Hematology and Immunology, having authored 64 papers that have together received 2.0k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (26 papers), Cell death mechanisms and regulation (9 papers), CAR-T cell therapy research (9 papers), Acute Myeloid Leukemia Research (9 papers), Ubiquitin and proteasome pathways (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), RNA Interference and Gene Delivery (5 papers) and Chronic Myeloid Leukemia Treatments (5 papers). The work is most often cited by research in Hematology (277 citations), Molecular Biology (1.1k citations), Oncology (324 citations), Cellular and Molecular Neuroscience (217 citations) and Immunology (238 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, Marcus Schaub, Jean‐Marc Fritschy, Irène Knuesel, Richard A. Zuellig, Martin Stanulla and Felix Niggli. Their work appears in journals such as Blood, Leukemia, Cancer Cell, Journal of Biological Chemistry and FEBS Letters.

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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