Michael Willmann

52 papers receiving 1.4k citations

Peers

Michael Willmann
Comparison fields: 5 of 93
  • Equine 73
  • Hematology 262
  • Small Animals 170
  • Immunology 332
  • Genetics 155
Replace Alex Karlsson‐Parra with:
Alex Karlsson‐Parra Sweden
Katherine A. Skorupski United States
Gloria Vachino United States
Susumu Yasuoka Japan
Erik Svedmyr Sweden
C. M. McBride United States
Jean‐Alexis Grimaud France
Moshe E. Gatt Israel
Earl J. Ihrie United States
Terence Moyana Canada
Michael Willmann relative to Alex Karlsson‐Parra Sweden Alex Karlsson‐Parra's profile →
Citations per field
00.5×10×15×18.3×
Alex Karlsson‐Parra · 1×
Citations per year

Countries citing papers authored by Michael Willmann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michael Willmann Line = papers co-authored together Michael Willmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014169
2 2010123
3 199789
4 200389
5 202080
6 201274
7 200553
8 200646
9 200945
10 200745
11 201442
12 200641
13 200839
14 201537
15 201034
16 201133
17 201327
18 201226
19 201423
20 202221

About Michael Willmann

Michael Willmann is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Molecular Biology, Hematology and Genetics, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Veterinary Oncology Research (16 papers), Mast cells and histamine (15 papers), Chronic Myeloid Leukemia Treatments (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Protein Degradation and Inhibitors (5 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Equine (73 citations), Hematology (262 citations), Small Animals (170 citations), Immunology (332 citations) and Genetics (155 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, Gabriele Stefanzl, Matthias Mayerhofer and Emir Hadzijusufovic. Their work appears in journals such as Blood, Experimental Hematology, Veterinary and Comparative Oncology, Veterinary Radiology & Ultrasound and Veterinary Immunology and Immunopathology.

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.

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