Stefan Serke
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 5%
Papers in
- Hematology 37
- Hematopoietic Stem Cell Transplantation 26
- Acute Myeloid Leukemia Research 8
- Immunology 24
- Immunotherapy and Immune Responses 5
- Co-authors
- D. Huhn (44 shared papers)Nada Rayes (7 shared papers)Sonja Hansen (3 shared papers)Daniel Seehofer (3 shared papers)Stig Bengmark (3 shared papers)N. Schwella (13 shared papers)Antje van Lessen (4 shared papers)Ulrich Frei (2 shared papers)
- Journals
- British Journal of Haematology (8 papers)Annals of Hematology (7 papers)Cytometry (6 papers)Vox Sanguinis (4 papers)Journal of Immunological Methods (4 papers)
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Stefan Serke
79 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 111
- Hematology 838
- Genetics 235
- Biochemistry 140
- Transplantation 53
- Immunology 425
Countries citing papers authored by Stefan Serke
This map shows the geographic impact of Stefan Serke'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 Serke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Serke more than expected).
Fields of papers citing papers by Stefan Serke
This network shows the impact of papers produced by Stefan Serke. 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 Serke. The network helps show where Stefan Serke may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Serke, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 338 | |
| 2 | 1995 | 214 | |
| 3 | 1999 | 187 | |
| 4 | 2002 | 186 | |
| 5 | 1998 | 157 | |
| 6 | 1997 | 156 | |
| 7 | 1994 | 140 | |
| 8 | 1996 | 72 | |
| 9 | 1997 | 63 | |
| 10 | 2002 | 62 | |
| 11 | 1998 | 60 | |
| 12 | 1992 | 54 | |
| 13 | 1999 | 54 | |
| 14 | 1995 | 42 | |
| 15 | 1994 | 40 | |
| 16 | 1992 | 39 | |
| 17 | 1992 | 36 | |
| 18 | 2001 | 33 | |
| 19 | 1997 | 32 | |
| 20 | 1992 | 31 |
About Stefan Serke
Stefan Serke is a scholar working on Hematology, Immunology, Molecular Biology, Oncology and Genetics, having authored 80 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (26 papers), Acute Myeloid Leukemia Research (8 papers), Single-cell and spatial transcriptomics (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Glycosylation and Glycoproteins Research (5 papers), Immunotherapy and Immune Responses (5 papers), Erythrocyte Function and Pathophysiology (5 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Hematology (838 citations), Genetics (235 citations), Biochemistry (140 citations), Transplantation (53 citations) and Immunology (425 citations). Stefan Serke has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include D. Huhn, Nada Rayes, Sonja Hansen, Daniel Seehofer, Stig Bengmark, N. Schwella, Antje van Lessen, Ulrich Frei, Kai‐Uwe Eckardt and Nicolas von Ahsen. Their work appears in journals such as British Journal of Haematology, Annals of Hematology, Cytometry, Vox Sanguinis and Journal of Immunological Methods.
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.