Hans Michael Kvasnicka
- Genetics top 0.1%
- Hematology top 0.2%
- Molecular Biology top 5%
- Rheumatology top 0.5%
- Oncology top 10%
- Co-authors
- Jüergen ThieleJürgen ThieleAttilio OraziJ. ThieleHeinz GisslingerVolker DiehlAlessandro M. VannucchiJon van der Walt
- Topics
- Myeloproliferative Neoplasms: Diagnosis and Treatment (89 papers)Chronic Myeloid Leukemia Treatments (64 papers)Acute Myeloid Leukemia Research (40 papers)
- Cited by
- GeneticsHematologyRheumatology
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Hans Michael Kvasnicka
134 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Genetics 3.9k
- Hematology 3.2k
- Molecular Biology 2.2k
- Rheumatology 1.4k
- Oncology 453
Countries citing papers authored by Hans Michael Kvasnicka
This map shows the geographic impact of Hans Michael Kvasnicka'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 Hans Michael Kvasnicka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Michael Kvasnicka more than expected).
Fields of papers citing papers by Hans Michael Kvasnicka
This network shows the impact of papers produced by Hans Michael Kvasnicka. 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 Hans Michael Kvasnicka. The network helps show where Hans Michael Kvasnicka may publish in the future.
Co-authorship network of co-authors of Hans Michael Kvasnicka
This figure shows the co-authorship network connecting the top 25 collaborators of Hans Michael Kvasnicka. A scholar is included among the top collaborators of Hans Michael Kvasnicka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hans Michael Kvasnicka. Hans Michael Kvasnicka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 45 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | The 2016 WHO classification and diagnostic criteria for myeloproliferative neoplasms: document summary and in-depth discussionbreakdown → | 383 |
| 9 | 150 | |
| 10 | 57 | |
| 11 | Proposals and rationale for revision of the World Health Organization diagnostic criteria for polycythemia vera, essential thrombocythemia, and primary myelofibrosis: recommendations from an ad hoc international expert panelbreakdown → | 604 |
| 12 | 54 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 15 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 22 |
About Hans Michael Kvasnicka
Hans Michael Kvasnicka is a scholar working on Genetics, Hematology and Rheumatology, having authored 138 papers that have together received 5.0k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (89 papers), Chronic Myeloid Leukemia Treatments (64 papers) and Acute Myeloid Leukemia Research (40 papers). The work is most often cited by research in Genetics (3.9k citations), Hematology (3.2k citations) and Rheumatology (1.4k citations). Hans Michael Kvasnicka has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Jüergen Thiele, Jürgen Thiele, Attilio Orazi, J. Thiele, Heinz Gisslinger, Volker Diehl, Alessandro M. Vannucchi, Jon van der Walt, Ayalew Tefferi and Vito Franco. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and Journal of Clinical Oncology.
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.