M Kapp
Impact in
- Immunology top 10%
- Reproductive System and Pregnancy
- Galectins and Cancer Biology
- Immunotherapy and Immune Responses
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Cancer, Hypoxia, and Metabolism 2
- Protease and Inhibitor Mechanisms 2
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- Reproductive System and Pregnancy 5
- Galectins and Cancer Biology 1
- Co-authors
- Ulrike Kämmerer (11 shared papers)J. Dietl (10 shared papers)Arnd Hönig (6 shared papers)Lorenz Rieger (6 shared papers)Marc Sütterlin (5 shared papers)Peter Ruck (1 shared paper)Mathias Krockenberger (3 shared papers)Yvonne Dombrowski (2 shared papers)
- Journals
- Journal of Reproductive Immunology (2 papers)International Journal of Gynecological Cancer (2 papers)BMC Cancer (1 paper)British Journal of Cancer (1 paper)Human Reproduction (1 paper)
- Partner nations
- Germany
In The Last Decade
M Kapp
14 papers receiving 540 citations
Peers
Comparison fields: 5 of 56
- Immunology 179
- Cancer Research 91
- Obstetrics and Gynecology 32
- Virology 11
- Molecular Biology 129
Countries citing papers authored by M Kapp
This map shows the geographic impact of M 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 M Kapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Kapp more than expected).
Fields of papers citing papers by M Kapp
This network shows the impact of papers produced by M 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 M Kapp. The network helps show where M Kapp may publish in the future.
Co-authors
The 25 scholars most cited alongside M 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
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 103 | |
| 2 | 2007 | 67 | |
| 3 | 2011 | 65 | |
| 4 | 2011 | 56 | |
| 5 | 2010 | 55 | |
| 6 | Heat-shock protein 70 as a prognostic marker in node-negative breast cancer. | 2003 | 50 |
| 7 | Heat shock protein 27 is associated with decreased survival in node-negative breast cancer patients. | 2005 | 49 |
| 8 | Expression of transketolase-like 1 protein (TKTL1) in human endometrial cancer. | 2010 | 29 |
| 9 | 2006 | 27 | |
| 10 | 2006 | 26 | |
| 11 | Brain metastases in breast cancer--an in vitro study to evaluate new systemic chemotherapeutic options. | 2005 | 9 |
| 12 | 2013 | 8 | |
| 13 | 2015 | 6 | |
| 14 | 2010 | 4 | |
| 15 | 2008 | 0 |
About M Kapp
M Kapp is a scholar working on Cancer Research, Immunology, Obstetrics and Gynecology, Reproductive Medicine and Rheumatology, having authored 15 papers that have together received 554 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (5 papers), Cancer, Hypoxia, and Metabolism (2 papers), Protease and Inhibitor Mechanisms (2 papers), Heat shock proteins research (2 papers), Pregnancy and preeclampsia studies (1 paper), Galectins and Cancer Biology (1 paper), Bone health and treatments (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Immunology (179 citations), Cancer Research (91 citations), Obstetrics and Gynecology (32 citations), Virology (11 citations) and Molecular Biology (129 citations). M Kapp has collaborated with scholars based in Germany. Frequent co-authors include Ulrike Kämmerer, J. Dietl, Arnd Hönig, Lorenz Rieger, Marc Sütterlin, Peter Ruck, Mathias Krockenberger, Yvonne Dombrowski, A. M. Gassel and Nora Müller. Their work appears in journals such as Journal of Reproductive Immunology, International Journal of Gynecological Cancer, BMC Cancer, British Journal of Cancer and Human Reproduction.
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.