Oliver Hantschel
- Hematology top 0.2%
- Chronic Myeloid Leukemia Treatments 47
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 30
- Rheumatology top 1%
- Eosinophilic Disorders and Syndromes 19
- Molecular Biology top 2%
- Protein Kinase Regulation and GTPase Signaling 9
- PI3K/AKT/mTOR signaling in cancer 8
- Oncology top 5%
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- Monoclonal and Polyclonal Antibodies Research 10
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- Quinazolinone synthesis and applications 7
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- Acute Lymphoblastic Leukemia research 7
- Co-authors
- Giulio Superti‐FurgaKeiryn L. BennettJohn KuriyanUwe RixBhushan NagarJacques ColingeInes KaupePeter Valent
- Cited by
- HematologyGeneticsRheumatology
- Journals
- Cell (4 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- SwitzerlandAustriaUnited States
In The Last Decade
Oliver Hantschel
71 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Hematology 2.3k
- Genetics 1.6k
- Rheumatology 790
- Molecular Biology 3.0k
- Oncology 891
Countries citing papers authored by Oliver Hantschel
This map shows the geographic impact of Oliver Hantschel'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 Oliver Hantschel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Hantschel more than expected).
Fields of papers citing papers by Oliver Hantschel
This network shows the impact of papers produced by Oliver Hantschel. 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 Oliver Hantschel. The network helps show where Oliver Hantschel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Oliver Hantschel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 5 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 41 | |
| 8 | 2017 | 10 | |
| 9 | 2017 | 72 | |
| 10 | 2017 | 14 | |
| 11 | 2016 | 26 | |
| 12 | 2013 | 78 | |
| 13 | 2012 | 131 | |
| 14 | 2010 | 128 | |
| 15 | 2009 | 63 | |
| 16 | 2008 | 31 | |
| 17 | 2008 | 156 | |
| 18 | 2008 | 228 | |
| 19 | 2006 | 312 | |
| 20 | 2003 | 353 |
About Oliver Hantschel
Oliver Hantschel is a scholar working on Hematology, Genetics and Rheumatology, having authored 71 papers that have together received 5.7k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (47 papers), Chronic Lymphocytic Leukemia Research (30 papers), Eosinophilic Disorders and Syndromes (19 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Quinazolinone synthesis and applications (7 papers) and Acute Lymphoblastic Leukemia research (7 papers). The work is most often cited by research in Hematology (2.3k citations), Genetics (1.6k citations) and Rheumatology (790 citations). Oliver Hantschel has collaborated with scholars based in Switzerland, Austria and United States. Frequent co-authors include Giulio Superti‐Furga, Keiryn L. Bennett, John Kuriyan, Uwe Rix, Bhushan Nagar, Jacques Colinge, Ines Kaupe, Peter Valent, Tilmann Bürckstümmer and Lily L. Remsing Rix. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.