Daniel Krappmann
Impact in
- Cancer Research top 0.2%
- NF-κB Signaling Pathways
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment
Papers in
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- NF-κB Signaling Pathways 81
-
- Lymphoma Diagnosis and Treatment 17
- Co-authors
- Claus Scheidereit (25 shared papers)Bernd Dörken (9 shared papers)Vigo Heissmeyer (9 shared papers)F. Gregory Wulczyn (4 shared papers)Elmar Wegener (9 shared papers)Florian Emmerich (4 shared papers)Eunice N. Hatada (3 shared papers)Mike Strauss (1 shared paper)
- Journals
- Blood (7 papers)Nature Communications (6 papers)The EMBO Journal (6 papers)Leukemia (5 papers)Journal of Biological Chemistry (5 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniel Krappmann
121 papers receiving 10.6k citations
Peers
Comparison fields: 5 of 117
- Cancer Research 3.7k
- Pathology and Forensic Medicine 1.4k
- Immunology 1.3k
- Molecular Biology 3.1k
- Oncology 779
Countries citing papers authored by Daniel Krappmann
This map shows the geographic impact of Daniel Krappmann'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 Daniel Krappmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Krappmann more than expected).
Fields of papers citing papers by Daniel Krappmann
This network shows the impact of papers produced by Daniel Krappmann. 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 Daniel Krappmann. The network helps show where Daniel Krappmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Krappmann, 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 719 | |
| 2 | 1997 | 671 | |
| 3 | 2001 | 496 | |
| 4 | 2013 | 403 | |
| 5 | 2002 | 319 | |
| 6 | 2000 | 306 | |
| 7 | 1996 | 270 | |
| 8 | 1999 | 243 | |
| 9 | 2014 | 241 | |
| 10 | 1996 | 234 | |
| 11 | 2000 | 232 | |
| 12 | 2001 | 232 | |
| 13 | 1999 | 228 | |
| 14 | 2002 | 223 | |
| 15 | 2002 | 218 | |
| 16 | 2012 | 207 | |
| 17 | 2009 | 201 | |
| 18 | 2004 | 200 | |
| 19 | 2009 | 193 | |
| 20 | 2013 | 188 |
About Daniel Krappmann
Daniel Krappmann is a scholar working on Cancer Research, Pathology and Forensic Medicine, Immunology, Molecular Biology and Cell Biology, having authored 125 papers that have together received 10.8k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (81 papers), Lymphoma Diagnosis and Treatment (17 papers), T-cell and B-cell Immunology (8 papers), Ubiquitin and proteasome pathways (5 papers), Cell death mechanisms and regulation (4 papers), Chemical Synthesis and Analysis (3 papers), RNA Research and Splicing (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (3.7k citations), Pathology and Forensic Medicine (1.4k citations), Immunology (1.3k citations), Molecular Biology (3.1k citations) and Oncology (779 citations). Daniel Krappmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Claus Scheidereit, Bernd Dörken, Vigo Heissmeyer, F. Gregory Wulczyn, Elmar Wegener, Florian Emmerich, Eunice N. Hatada, Mike Strauss, Alexandra Eichten and Stephan Mathas. Their work appears in journals such as Blood, Nature Communications, The EMBO Journal, Leukemia and Journal of Biological Chemistry.
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.