Stefan Kunka
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Blood groups and transfusion
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
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- Platelet Disorders and Treatments 4
- Blood groups and transfusion 3
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- Blood transfusion and management 2
- Co-authors
- Carol J. Briggs (6 shared papers)Samuel J. Machin (5 shared papers)Shinichiro Oguni (2 shared papers)S. J. Machin (2 shared papers)Daniel P. Hart (1 shared paper)Paul J Harrison (1 shared paper)Helen C. Segal (1 shared paper)Michael F. Murphy (1 shared paper)
- Journals
- British Journal of Haematology (2 papers)Transfusion Medicine (1 paper)Journal of Thrombosis and Haemostasis (1 paper)PubMed (2 papers)Clinical & Laboratory Haematology (1 paper)
- Partner nations
- United KingdomJapan
In The Last Decade
Stefan Kunka
7 papers receiving 608 citations
Peers
Comparison fields: 5 of 57
- Hematology 309
- Internal Medicine 49
- Biochemistry 51
- Genetics 69
- Rheumatology 52
Countries citing papers authored by Stefan Kunka
This map shows the geographic impact of Stefan Kunka'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 Stefan Kunka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Kunka more than expected).
Fields of papers citing papers by Stefan Kunka
This network shows the impact of papers produced by Stefan Kunka. 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 Stefan Kunka. The network helps show where Stefan Kunka may publish in the future.
Co-authors
The 16 scholars most cited alongside Stefan Kunka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 290 | |
| 2 | 2005 | 111 | |
| 3 | 2006 | 90 | |
| 4 | 2004 | 55 | |
| 5 | Evaluation of immature granulocyte counts by the XE-IG master: upgraded software for the XE-2100 automated hematology analyzer. | 2003 | 44 |
| 6 | 2004 | 27 | |
| 7 | Performance evaluation of a new compact hematology analyzer, the Sysmex pocH-100i. | 2003 | 20 |
About Stefan Kunka
Stefan Kunka is a scholar working on Hematology, Biochemistry, Oncology, Physiology and Emergency Medical Services, having authored 7 papers that have together received 637 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (4 papers), Blood groups and transfusion (3 papers), Clinical Laboratory Practices and Quality Control (2 papers), Neutropenia and Cancer Infections (2 papers), Blood transfusion and management (2 papers), Hematological disorders and diagnostics (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Hematology (309 citations), Internal Medicine (49 citations), Biochemistry (51 citations), Genetics (69 citations) and Rheumatology (52 citations). Stefan Kunka has collaborated with scholars based in United Kingdom and Japan. Frequent co-authors include Carol J. Briggs, Samuel J. Machin, Shinichiro Oguni, S. J. Machin, Daniel P. Hart, Paul J Harrison, Helen C. Segal, Michael F. Murphy, Angela Claire Casbard and Michael J. Nash. Their work appears in journals such as British Journal of Haematology, Transfusion Medicine, Journal of Thrombosis and Haemostasis, PubMed and Clinical & Laboratory Haematology.
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.