Michael Willmann
Impact in
- Equine top 2%
- Veterinary Equine Medical Research
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
Papers in
- Immunology 23
- Mast cells and histamine 19
- Hematology 13
- Chronic Myeloid Leukemia Treatments 10
- Acute Myeloid Leukemia Research 6
- Co-authors
- Peter Valent (31 shared papers)Johann G. Thalhammer (10 shared papers)Wolfgang Henninger (2 shared papers)M. Bürger (1 shared paper)Wolfgang R. Sperr (13 shared papers)Thomas Rülicke (13 shared papers)Gregor Hoermann (14 shared papers)Emir Hadzijusufovic (20 shared papers)
- Journals
- Blood (8 papers)Experimental Hematology (5 papers)Veterinary and Comparative Oncology (5 papers)Leukemia (3 papers)Veterinary Radiology & Ultrasound (3 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Michael Willmann
59 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 98
- Equine 78
- Hematology 330
- Small Animals 205
- Immunology 463
- Genetics 191
Countries citing papers authored by Michael Willmann
This map shows the geographic impact of Michael Willmann'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 Michael Willmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Willmann more than expected).
Fields of papers citing papers by Michael Willmann
This network shows the impact of papers produced by Michael Willmann. 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 Michael Willmann. The network helps show where Michael Willmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Willmann, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 188 | |
| 2 | 2010 | 127 | |
| 3 | 2003 | 102 | |
| 4 | 1997 | 94 | |
| 5 | 2020 | 89 | |
| 6 | 2014 | 86 | |
| 7 | 2012 | 79 | |
| 8 | 2005 | 60 | |
| 9 | 2009 | 50 | |
| 10 | 2006 | 47 | |
| 11 | 2014 | 46 | |
| 12 | 2015 | 45 | |
| 13 | 2007 | 45 | |
| 14 | 2006 | 41 | |
| 15 | 2008 | 39 | |
| 16 | 2010 | 37 | |
| 17 | 2011 | 33 | |
| 18 | 2013 | 31 | |
| 19 | 2021 | 31 | |
| 20 | 2018 | 30 |
About Michael Willmann
Michael Willmann is a scholar working on Immunology, Hematology, Pulmonary and Respiratory Medicine, Genetics and Small Animals, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mast cells and histamine (19 papers), Veterinary Oncology Research (18 papers), Chronic Myeloid Leukemia Treatments (10 papers), Acute Myeloid Leukemia Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Protein Degradation and Inhibitors (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Infectious Diseases and Mycology (3 papers). The work is most often cited by research in Equine (78 citations), Hematology (330 citations), Small Animals (205 citations), Immunology (463 citations) and Genetics (191 citations). Michael Willmann has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Peter Valent, Johann G. Thalhammer, Wolfgang Henninger, M. Bürger, Wolfgang R. Sperr, Thomas Rülicke, Gregor Hoermann, Emir Hadzijusufovic, Matthias Mayerhofer and Gabriele Stefanzl. Their work appears in journals such as Blood, Experimental Hematology, Veterinary and Comparative Oncology, Leukemia and Veterinary Radiology & Ultrasound.
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.