Martin Hapke
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Macrophage Migration Inhibitory Factor
- Rheumatology top 5%
- GDF15 and Related Biomarkers
Papers in
-
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 2
- Oncology 5
- CAR-T cell therapy research 5
- Co-authors
- Elmar Jaeckel (7 shared papers)Matthias Hardtke‐Wolenski (7 shared papers)Martin G. Sauer (4 shared papers)Jan Rossaint (1 shared paper)Gernot Beutel (1 shared paper)Birte Hansen (1 shared paper)Udo Bavendiek (1 shared paper)Kai C. Wollert (1 shared paper)
- Journals
- Blood (2 papers)Journal of Autoimmunity (2 papers)Digestive Diseases (1 paper)Nature Medicine (1 paper)Scandinavian Journal of Immunology (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Martin Hapke
11 papers receiving 798 citations
Peers
Comparison fields: 5 of 59
- Immunology 365
- Rheumatology 237
- Oncology 195
- Immunology and Allergy 30
- Cardiology and Cardiovascular Medicine 101
Countries citing papers authored by Martin Hapke
This map shows the geographic impact of Martin Hapke'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 Martin Hapke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Hapke more than expected).
Fields of papers citing papers by Martin Hapke
This network shows the impact of papers produced by Martin Hapke. 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 Martin Hapke. The network helps show where Martin Hapke may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Hapke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 408 | |
| 2 | 2019 | 178 | |
| 3 | 2010 | 65 | |
| 4 | 2017 | 44 | |
| 5 | 2021 | 38 | |
| 6 | 2016 | 23 | |
| 7 | 2009 | 14 | |
| 8 | 2012 | 14 | |
| 9 | 2015 | 8 | |
| 10 | 2017 | 6 | |
| 11 | 2014 | 3 |
About Martin Hapke
Martin Hapke is a scholar working on Immunology, Oncology, Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 801 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), CAR-T cell therapy research (5 papers), Virus-based gene therapy research (3 papers), Diabetes and associated disorders (2 papers), T-cell and B-cell Immunology (2 papers), Vitamin C and Antioxidants Research (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Liver Diseases and Immunity (1 paper). The work is most often cited by research in Immunology (365 citations), Rheumatology (237 citations), Oncology (195 citations), Immunology and Allergy (30 citations) and Cardiology and Cardiovascular Medicine (101 citations). Martin Hapke has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Elmar Jaeckel, Matthias Hardtke‐Wolenski, Martin G. Sauer, Jan Rossaint, Gernot Beutel, Birte Hansen, Udo Bavendiek, Kai C. Wollert, Stefan Butz and L. Christian Napp. Their work appears in journals such as Blood, Journal of Autoimmunity, Digestive Diseases, Nature Medicine and Scandinavian Journal of Immunology.
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.