Rainer Boxhammer
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Transplantation top 10%
Papers in
- Oncology 12
- Peptidase Inhibition and Analysis 7
- CAR-T cell therapy research 4
- Hematology 11
- Multiple Myeloma Research and Treatments 10
- Co-authors
- Jan Endell (13 shared papers)Stefan Steidl (8 shared papers)Grzegorz S. Nowakowski (1 shared paper)Pedro Horna (1 shared paper)Cornelia Wurzenberger (1 shared paper)Daniel Ness (1 shared paper)Hermann Einsele (4 shared papers)Hartmut Goldschmidt (4 shared papers)
- Journals
- Blood (8 papers)Journal of the American Society of Nephrology (4 papers)Journal of Clinical Oncology (4 papers)Kidney International Reports (2 papers)International Journal of Gynecological Cancer (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Rainer Boxhammer
26 papers receiving 333 citations
Peers
Comparison fields: 5 of 45
- Hematology 156
- Transplantation 26
- Physiology 41
- Nephrology 44
- Oncology 137
Countries citing papers authored by Rainer Boxhammer
This map shows the geographic impact of Rainer Boxhammer'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 Rainer Boxhammer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rainer Boxhammer more than expected).
Fields of papers citing papers by Rainer Boxhammer
This network shows the impact of papers produced by Rainer Boxhammer. 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 Rainer Boxhammer. The network helps show where Rainer Boxhammer may publish in the future.
Co-authors
The 25 scholars most cited alongside Rainer Boxhammer, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 44 | |
| 2 | 2019 | 37 | |
| 3 | 2016 | 33 | |
| 4 | 2012 | 32 | |
| 5 | 2015 | 24 | |
| 6 | 2017 | 21 | |
| 7 | 2015 | 20 | |
| 8 | 2016 | 16 | |
| 9 | 2024 | 15 | |
| 10 | 2022 | 15 | |
| 11 | 2024 | 11 | |
| 12 | 2011 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2011 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2014 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2017 | 3 | |
| 20 | 2023 | 3 |
About Rainer Boxhammer
Rainer Boxhammer is a scholar working on Oncology, Hematology, Genetics, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 26 papers that have together received 338 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), Chronic Lymphocytic Leukemia Research (9 papers), Peptidase Inhibition and Analysis (7 papers), Renal Diseases and Glomerulopathies (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Hematology (156 citations), Transplantation (26 citations), Physiology (41 citations), Nephrology (44 citations) and Oncology (137 citations). Rainer Boxhammer has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Jan Endell, Stefan Steidl, Grzegorz S. Nowakowski, Pedro Horna, Cornelia Wurzenberger, Daniel Ness, Hermann Einsele, Hartmut Goldschmidt, Barbara Ferstl and Johannes Weirather. Their work appears in journals such as Blood, Journal of the American Society of Nephrology, Journal of Clinical Oncology, Kidney International Reports and International Journal of Gynecological Cancer.
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.