Jan Rekowski
Impact in
- Hematology top 10%
- Blood groups and transfusion
- Platelet Disorders and Treatments
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
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- Lymphoma Diagnosis and Treatment 9
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- Medical Imaging Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Andreas Hüttmann (10 shared papers)Ulrich Dührsen (9 shared papers)Stefan Landgraeber (2 shared papers)Stefan P Müller (8 shared papers)Karl‐Heinz Jöckel (4 shared papers)Tim Claßen (2 shared papers)Markus Jäger (2 shared papers)H. Schrezenmeier (1 shared paper)
- Journals
- Knee Surgery Sports Traumatology Arthroscopy (2 papers)PLoS ONE (2 papers)Journal of Nuclear Medicine (2 papers)Annals of Hematology (1 paper)Annals of Oncology (1 paper)
- Partner nations
- GermanyUnited KingdomNetherlands
In The Last Decade
Jan Rekowski
25 papers receiving 444 citations
Peers
Comparison fields: 5 of 57
- Hematology 91
- Pathology and Forensic Medicine 126
- Nephrology 26
- Genetics 37
- Radiology, Nuclear Medicine and Imaging 62
Countries citing papers authored by Jan Rekowski
This map shows the geographic impact of Jan Rekowski'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 Jan Rekowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Rekowski more than expected).
Fields of papers citing papers by Jan Rekowski
This network shows the impact of papers produced by Jan Rekowski. 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 Jan Rekowski. The network helps show where Jan Rekowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Rekowski, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 94 | |
| 2 | 2019 | 69 | |
| 3 | 2014 | 45 | |
| 4 | 2020 | 38 | |
| 5 | 2014 | 30 | |
| 6 | 2020 | 30 | |
| 7 | 2019 | 23 | |
| 8 | 2019 | 17 | |
| 9 | 2020 | 16 | |
| 10 | 2019 | 15 | |
| 11 | 2021 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2017 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2020 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2018 | 4 |
About Jan Rekowski
Jan Rekowski is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology and Nephrology, having authored 28 papers that have together received 452 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Medical Imaging Techniques and Applications (4 papers), Parathyroid Disorders and Treatments (2 papers), Hip disorders and treatments (2 papers), Sepsis Diagnosis and Treatment (2 papers), HER2/EGFR in Cancer Research (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Hematology (91 citations), Pathology and Forensic Medicine (126 citations), Nephrology (26 citations), Genetics (37 citations) and Radiology, Nuclear Medicine and Imaging (62 citations). Jan Rekowski has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Andreas Hüttmann, Ulrich Dührsen, Stefan Landgraeber, Stefan P Müller, Karl‐Heinz Jöckel, Tim Claßen, Markus Jäger, H. Schrezenmeier, Veronika Lenz and Alexander Röth. Their work appears in journals such as Knee Surgery Sports Traumatology Arthroscopy, PLoS ONE, Journal of Nuclear Medicine, Annals of Hematology and Annals of Oncology.
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.