Kai Wille
Impact in
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
- Co-authors
- Parvis Sadjadian (16 shared papers)Martin Grießhammer (16 shared papers)Tatjana Becker (10 shared papers)Christiane Fuchs (8 shared papers)Uwe A. Wittel (2 shared papers)Nicole Prasnikar (2 shared papers)Marko Kornmann (3 shared papers)Waldemar Uhl (4 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)Annals of Hematology (3 papers)European Journal Of Haematology (3 papers)Infection (2 papers)HemaSphere (2 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Kai Wille
35 papers receiving 371 citations
Peers
Comparison fields: 5 of 51
- Genetics 134
- Hematology 71
- Rheumatology 60
- Oncology 106
- Internal Medicine 9
Countries citing papers authored by Kai Wille
This map shows the geographic impact of Kai Wille'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 Kai Wille with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Wille more than expected).
Fields of papers citing papers by Kai Wille
This network shows the impact of papers produced by Kai Wille. 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 Kai Wille. The network helps show where Kai Wille may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Wille, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 59 | |
| 2 | 2024 | 40 | |
| 3 | 2018 | 31 | |
| 4 | 2018 | 25 | |
| 5 | 2020 | 20 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 18 | |
| 8 | 2024 | 16 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 12 | |
| 11 | 2020 | 12 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2019 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2023 | 6 |
About Kai Wille
Kai Wille is a scholar working on Genetics, Oncology, Hematology, Rheumatology and Infectious Diseases, having authored 39 papers that have together received 374 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (15 papers), Eosinophilic Disorders and Syndromes (10 papers), Chronic Myeloid Leukemia Treatments (8 papers), Pancreatic and Hepatic Oncology Research (6 papers), Cancer Treatment and Pharmacology (5 papers), COVID-19 Clinical Research Studies (5 papers), Cancer Genomics and Diagnostics (4 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Genetics (134 citations), Hematology (71 citations), Rheumatology (60 citations), Oncology (106 citations) and Internal Medicine (9 citations). Kai Wille has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Parvis Sadjadian, Martin Grießhammer, Tatjana Becker, Christiane Fuchs, Uwe A. Wittel, Nicole Prasnikar, Marko Kornmann, Waldemar Uhl, Thomas J. Ettrich and Andrea Tannapfel. Their work appears in journals such as Journal of Clinical Oncology, Annals of Hematology, European Journal Of Haematology, Infection and HemaSphere.
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.