Sven Borchmann
Impact in
-
- Lymphoma Diagnosis and Treatment
- Oncology top 10%
- Viral-associated cancers and disorders
- CAR-T cell therapy research
Papers in
-
- Lymphoma Diagnosis and Treatment 31
- Genetic factors in colorectal cancer 7
- Oncology 22
- Viral-associated cancers and disorders 6
- CAR-T cell therapy research 6
- Co-authors
- Andreas Engert (20 shared papers)Peter Borchmann (15 shared papers)Bastian von Tresckow (13 shared papers)Michael Fuchs (9 shared papers)Stephanie Sasse (6 shared papers)Horst Müller (8 shared papers)Paul J. Bröckelmann (12 shared papers)Helen Goergen (5 shared papers)
- Journals
- Blood (7 papers)HemaSphere (6 papers)British Journal of Haematology (3 papers)Annals of Oncology (3 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Sven Borchmann
40 papers receiving 608 citations
Peers
Comparison fields: 5 of 73
- Pathology and Forensic Medicine 375
- Oncology 298
- Genetics 77
- Neurology 109
- Immunology 117
Countries citing papers authored by Sven Borchmann
This map shows the geographic impact of Sven Borchmann'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 Sven Borchmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Borchmann more than expected).
Fields of papers citing papers by Sven Borchmann
This network shows the impact of papers produced by Sven Borchmann. 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 Sven Borchmann. The network helps show where Sven Borchmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Sven Borchmann, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 82 | |
| 2 | 2016 | 65 | |
| 3 | 2013 | 51 | |
| 4 | 2020 | 50 | |
| 5 | 2021 | 35 | |
| 6 | 2018 | 31 | |
| 7 | 2019 | 26 | |
| 8 | 2019 | 22 | |
| 9 | 2019 | 20 | |
| 10 | 2021 | 19 | |
| 11 | 2017 | 18 | |
| 12 | 2014 | 17 | |
| 13 | 2016 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2022 | 14 | |
| 16 | 2020 | 14 | |
| 17 | 2018 | 12 | |
| 18 | 2017 | 12 | |
| 19 | 2018 | 12 | |
| 20 | 2017 | 11 |
About Sven Borchmann
Sven Borchmann is a scholar working on Pathology and Forensic Medicine, Oncology, Pulmonary and Respiratory Medicine, Genetics and Immunology, having authored 46 papers that have together received 612 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (31 papers), Lung Cancer Treatments and Mutations (9 papers), Cancer Genomics and Diagnostics (8 papers), Genetic factors in colorectal cancer (7 papers), Chronic Lymphocytic Leukemia Research (7 papers), Viral-associated cancers and disorders (6 papers), CAR-T cell therapy research (6 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (375 citations), Oncology (298 citations), Genetics (77 citations), Neurology (109 citations) and Immunology (117 citations). Sven Borchmann has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Andreas Engert, Peter Borchmann, Bastian von Tresckow, Michael Fuchs, Stephanie Sasse, Horst Müller, Paul J. Bröckelmann, Helen Goergen, David M. Kurtz and Alexander Craig. Their work appears in journals such as Blood, HemaSphere, British Journal of Haematology, Annals of Oncology and Journal of Clinical 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.