Jörg Westermann
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
- Immunology top 5%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Hematology 49
- Acute Myeloid Leukemia Research 35
- Chronic Myeloid Leukemia Treatments 9
- Hematopoietic Stem Cell Transplantation 4
- Immunology 30
- Immunotherapy and Immune Responses 26
- T-cell and B-cell Immunology 8
- Co-authors
- Bernd Dörken (40 shared papers)Antonio Pezzutto (35 shared papers)Anne Flörcken (20 shared papers)Martin Lipp (8 shared papers)Thomas Burmeister (11 shared papers)Nina Rosa Neuendorff (5 shared papers)Uta E. Höpken (7 shared papers)Renate Arnold (6 shared papers)
- Journals
- Blood (16 papers)HemaSphere (6 papers)Cancer Gene Therapy (4 papers)British Journal of Haematology (4 papers)Haematologica (4 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Jörg Westermann
92 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 80
- Hematology 1.1k
- Immunology 426
- Cancer Research 178
- Oncology 267
- Genetics 92
Countries citing papers authored by Jörg Westermann
This map shows the geographic impact of Jörg Westermann'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 Jörg Westermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Westermann more than expected).
Fields of papers citing papers by Jörg Westermann
This network shows the impact of papers produced by Jörg Westermann. 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 Jörg Westermann. The network helps show where Jörg Westermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Jörg Westermann, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 303 | |
| 2 | 2018 | 244 | |
| 3 | 2017 | 135 | |
| 4 | 2019 | 91 | |
| 5 | 2020 | 73 | |
| 6 | 2016 | 71 | |
| 7 | 2010 | 70 | |
| 8 | 2014 | 64 | |
| 9 | 2022 | 61 | |
| 10 | 2014 | 57 | |
| 11 | 1998 | 47 | |
| 12 | 2018 | 47 | |
| 13 | 2021 | 46 | |
| 14 | 2001 | 45 | |
| 15 | 2017 | 36 | |
| 16 | 2007 | 35 | |
| 17 | 2012 | 34 | |
| 18 | 2016 | 32 | |
| 19 | 2011 | 31 | |
| 20 | 2007 | 29 |
About Jörg Westermann
Jörg Westermann is a scholar working on Hematology, Immunology, Genetics, Pulmonary and Respiratory Medicine and Oncology, having authored 97 papers that have together received 2.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (35 papers), Immunotherapy and Immune Responses (26 papers), Chronic Myeloid Leukemia Treatments (9 papers), T-cell and B-cell Immunology (8 papers), Renal cell carcinoma treatment (7 papers), Acute Lymphoblastic Leukemia research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). The work is most often cited by research in Hematology (1.1k citations), Immunology (426 citations), Cancer Research (178 citations), Oncology (267 citations) and Genetics (92 citations). Jörg Westermann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Bernd Dörken, Antonio Pezzutto, Anne Flörcken, Martin Lipp, Thomas Burmeister, Nina Rosa Neuendorff, Uta E. Höpken, Renate Arnold, Armin Rehm and Lars Bullinger. Their work appears in journals such as Blood, HemaSphere, Cancer Gene Therapy, British Journal of Haematology and Haematologica.
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.