K. Schimpf

1.1k citations
50 papers · 600 · h-index 12

Impact in

  • Hematology top 2%
    • Hemophilia Treatment and Research
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
    • Blood groups and transfusion
  • Hepatology top 5%
    • Hepatitis C virus research

Papers in

K. Schimpf

42 papers receiving 534 citations

Peers

K. Schimpf
Comparison fields: 5 of 75
  • Hematology 365
  • Hepatology 105
  • Virology 54
  • Genetics 55
  • Management of Technology and Innovation 31
Replace Heike Bialleck with:
Heike Bialleck Germany
Lewis H. Dennis United States
U. Shankarkumar India
Marilyn S. Horowitz United States
Amornrat Romphruk Thailand
C. Puapairoj Thailand
Sharon Barrett Ireland
G.C. Mudde Netherlands
Oytip Nathalang Thailand
L. J. Dooren Netherlands
K. Schimpf relative to Heike Bialleck Germany Heike Bialleck's profile →
Citations per field
00.5×7.7×
Heike Bialleck · 1×
Citations per year

Countries citing papers authored by K. Schimpf

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985139
2 1987119
3 198953
4 199241
5 198625
6 197624
7 199222
8 196116
9 197616
10 199212
11 198512
12 199112
13 198811
14 197711
15 19878
16 19607
17 19696
18 19616
19 19676
20 19665

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 600 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), Venous Thromboembolism Diagnosis and Management (4 papers) and Blood groups and transfusion (4 papers). The work is most often cited by research in Hematology (365 citations), Hepatology (105 citations), Virology (54 citations), Genetics (55 citations) and Management of Technology and Innovation (31 citations). K. Schimpf has collaborated with scholars based in Germany, Finland and Italy. Frequent co-authors include Pier Mannuccio Mannucci, Massimo Colombo, V. Carnelli, Geoffrey F. Savidge, C. Gazengel, B. Kraus, Günter Auerswald, Gerhard Opelz, Volker Daniel and W. Kreutz. Their work appears in journals such as Journal of Molecular Medicine, Thrombosis and Haemostasis, Thrombosis Research, Vox Sanguinis and New England Journal of Medicine.

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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