Markus Kapp
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Epidemiology 20
- Cytomegalovirus and herpesvirus research 17
- Herpesvirus Infections and Treatments 6
- Oncology 17
- CAR-T cell therapy research 6
- Co-authors
- Hermann Einsele (28 shared papers)Shigeo Fuji (12 shared papers)Götz Ulrich Grigoleit (13 shared papers)Hermann Einsele (7 shared papers)Leo Rasche (4 shared papers)Rolf Knippers (5 shared papers)Stephan Mielke (7 shared papers)Dieter G. Müller (4 shared papers)
- Journals
- Bone Marrow Transplantation (7 papers)Blood (3 papers)Cytotherapy (3 papers)Frontiers in Immunology (2 papers)Annals of Hematology (2 papers)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Markus Kapp
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Hematology 216
- Immunology 239
- Oncology 287
- Epidemiology 284
- Infectious Diseases 139
Countries citing papers authored by Markus Kapp
This map shows the geographic impact of Markus Kapp'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 Markus Kapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Kapp more than expected).
Fields of papers citing papers by Markus Kapp
This network shows the impact of papers produced by Markus Kapp. 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 Markus Kapp. The network helps show where Markus Kapp may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Kapp, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 92 | |
| 2 | 2012 | 73 | |
| 3 | 1998 | 68 | |
| 4 | 2015 | 66 | |
| 5 | 2007 | 58 | |
| 6 | 2007 | 48 | |
| 7 | 2008 | 45 | |
| 8 | 2011 | 44 | |
| 9 | 2009 | 43 | |
| 10 | 2014 | 42 | |
| 11 | 1996 | 30 | |
| 12 | 2017 | 28 | |
| 13 | 1996 | 26 | |
| 14 | 2021 | 24 | |
| 15 | 1994 | 23 | |
| 16 | 2016 | 22 | |
| 17 | 2011 | 22 | |
| 18 | 1997 | 21 | |
| 19 | 2007 | 21 | |
| 20 | 2016 | 20 |
About Markus Kapp
Markus Kapp is a scholar working on Epidemiology, Oncology, Immunology, Hematology and Molecular Biology, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (17 papers), Hematopoietic Stem Cell Transplantation (9 papers), Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (7 papers), Herpesvirus Infections and Treatments (6 papers), CAR-T cell therapy research (6 papers), Microbial Community Ecology and Physiology (5 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Hematology (216 citations), Immunology (239 citations), Oncology (287 citations), Epidemiology (284 citations) and Infectious Diseases (139 citations). Markus Kapp has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Hermann Einsele, Shigeo Fuji, Götz Ulrich Grigoleit, Hermann Einsele, Leo Rasche, Rolf Knippers, Stephan Mielke, Dieter G. Müller, Bipin N. Savani and Sen Mui Tan. Their work appears in journals such as Bone Marrow Transplantation, Blood, Cytotherapy, Frontiers in Immunology and Annals of Hematology.
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.