Thomas Bohnacker
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
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- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Biochemical and Molecular Research
Papers in
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- PI3K/AKT/mTOR signaling in cancer 15
- Cancer therapeutics and mechanisms 2
-
- Mast cells and histamine 7
- Co-authors
- Matthias P. Wymann (22 shared papers)Romina Marone (4 shared papers)Doriano Fabbro (10 shared papers)Denise Rageot (8 shared papers)Florent Beaufils (10 shared papers)Anna Melone (10 shared papers)Alexander Sele (7 shared papers)Paul Hebeisen (8 shared papers)
- Journals
- Journal of Medicinal Chemistry (5 papers)Cancer Research (3 papers)Nature Communications (1 paper)Journal of Lipid Research (1 paper)PLoS ONE (1 paper)
- Partner nations
- SwitzerlandUnited KingdomCanada
In The Last Decade
Thomas Bohnacker
22 papers receiving 890 citations
Peers
Comparison fields: 5 of 77
- Genetics 134
- Molecular Biology 617
- Immunology 179
- Organic Chemistry 179
- Physiology 27
Countries citing papers authored by Thomas Bohnacker
This map shows the geographic impact of Thomas Bohnacker'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 Thomas Bohnacker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Bohnacker more than expected).
Fields of papers citing papers by Thomas Bohnacker
This network shows the impact of papers produced by Thomas Bohnacker. 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 Thomas Bohnacker. The network helps show where Thomas Bohnacker may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Bohnacker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 119 | |
| 2 | 2009 | 92 | |
| 3 | 2017 | 91 | |
| 4 | 2009 | 72 | |
| 5 | 2009 | 68 | |
| 6 | 2018 | 68 | |
| 7 | 2013 | 53 | |
| 8 | 2019 | 51 | |
| 9 | 2011 | 45 | |
| 10 | 2013 | 40 | |
| 11 | 2019 | 39 | |
| 12 | 2011 | 37 | |
| 13 | 2019 | 34 | |
| 14 | 2019 | 32 | |
| 15 | 2013 | 24 | |
| 16 | 2020 | 21 | |
| 17 | 2020 | 11 | |
| 18 | 2011 | 4 | |
| 19 | 2017 | 3 | |
| 20 | 2012 | 3 |
About Thomas Bohnacker
Thomas Bohnacker is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Pathology and Forensic Medicine and Oncology, having authored 23 papers that have together received 912 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (15 papers), Mast cells and histamine (7 papers), Quinazolinone synthesis and applications (3 papers), Click Chemistry and Applications (2 papers), Cancer Mechanisms and Therapy (2 papers), Cancer therapeutics and mechanisms (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Genetics (134 citations), Molecular Biology (617 citations), Immunology (179 citations), Organic Chemistry (179 citations) and Physiology (27 citations). Thomas Bohnacker has collaborated with scholars based in Switzerland, United Kingdom and Canada. Frequent co-authors include Matthias P. Wymann, Romina Marone, Doriano Fabbro, Denise Rageot, Florent Beaufils, Anna Melone, Alexander Sele, Paul Hebeisen, Petra Hillmann and Chiara Borsari. Their work appears in journals such as Journal of Medicinal Chemistry, Cancer Research, Nature Communications, Journal of Lipid Research and PLoS ONE.
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.