K. Schimpf
Impact in
- Hematology top 2%
- Hemophilia Treatment and Research
- Platelet Disorders and Treatments
- Blood Coagulation and Thrombosis Mechanisms
- Blood groups and transfusion
- Hemostasis and retained surgical items
- Hepatology top 10%
- Hepatitis C virus research
Papers in ⓘ
- Hematology 31
- Hemophilia Treatment and Research 18
- Platelet Disorders and Treatments 9
- Blood Coagulation and Thrombosis Mechanisms 9
- Chronic Myeloid Leukemia Treatments 6
- Blood groups and transfusion 4
- Co-authors
- Pier Mannuccio Mannucci (2 shared papers)Massimo Colombo (1 shared paper)C. Gazengel (1 shared paper)V. Carnelli (1 shared paper)Geoffrey F. Savidge (1 shared paper)Günter Auerswald (2 shared papers)B. Kraus (3 shared papers)Volker Daniel (3 shared papers)
In The Last Decade
K. Schimpf
44 papers receiving 536 citations
Peers
Comparison fields: 5 of 77
- Hematology 376
- Hepatology 112
- Virology 56
- Genetics 61
- Management of Technology and Innovation 34
Countries citing papers authored by K. Schimpf
This map shows the geographic impact of K. Schimpf'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 K. Schimpf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Schimpf more than expected).
Fields of papers citing papers by K. Schimpf
This network shows the impact of papers produced by K. Schimpf. 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 K. Schimpf. The network helps show where K. Schimpf may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Schimpf, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 139 | |
| 2 | 1987 | 118 | |
| 3 | 1989 | 53 | |
| 4 | 1992 | 41 | |
| 5 | 1986 | 25 | |
| 6 | 1976 | 24 | |
| 7 | 1992 | 22 | |
| 8 | 1976 | 16 | |
| 9 | 1961 | 16 | |
| 10 | 1991 | 12 | |
| 11 | 1992 | 12 | |
| 12 | 1985 | 12 | |
| 13 | 1977 | 11 | |
| 14 | 1988 | 11 | |
| 15 | 1987 | 8 | |
| 16 | 1960 | 7 | |
| 17 | 1961 | 6 | |
| 18 | 1967 | 6 | |
| 19 | 1969 | 6 | |
| 20 | [Blood coagulation and alimentary fat test]. | 1956 | 5 |
About K. Schimpf
K. Schimpf is a scholar working on Hematology, Cardiology and Cardiovascular Medicine, Genetics, Genetics and Immunology, having authored 50 papers that have together received 606 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (18 papers), Platelet Disorders and Treatments (9 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers), Chronic Myeloid Leukemia Treatments (6 papers), Hepatitis C virus research (5 papers), Blood disorders and treatments (5 papers), Blood groups and transfusion (4 papers) and Parvovirus B19 Infection Studies (4 papers). The work is most often cited by research in Hematology (376 citations), Hepatology (112 citations), Virology (56 citations), Genetics (61 citations) and Management of Technology and Innovation (34 citations). K. Schimpf has collaborated with scholars based in Germany, Finland and Italy. Frequent co-authors include Pier Mannuccio Mannucci, Massimo Colombo, C. Gazengel, V. Carnelli, Geoffrey F. Savidge, Günter Auerswald, B. Kraus, Volker Daniel, Gerhard Opelz and H. G. Lasch. Their work appears in journals such as Journal of Molecular Medicine, Thrombosis and Haemostasis, Thrombosis Research, Vox Sanguinis and Acta Haematologica.
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.