Gudrun E. Koehl
Impact in
- Transplantation top 1%
- Renal Transplantation Outcomes and Treatments
- Oncology top 2%
- Polyomavirus and related diseases
- Viral-associated cancers and disorders
Papers in
- Immunology 14
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 6
- Co-authors
- Edward K. GeisslerMarkus SteinbauerMarkus GubaKarl‐Walter JauchChristiane J. BrunsMatthias AnthuberStefan FarkasHans J. Schlitt
- Journals
- Transplantation (8 papers)The Journal of Immunology (6 papers)Clinical Cancer Research (3 papers)International Journal of Cancer (3 papers)Cancer Prevention Research (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Gudrun E. Koehl
44 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Transplantation 352
- Oncology 1.2k
- Cancer Research 615
- Genetics 334
- Immunology 599
Countries citing papers authored by Gudrun E. Koehl
This map shows the geographic impact of Gudrun E. Koehl'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 Gudrun E. Koehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gudrun E. Koehl more than expected).
Fields of papers citing papers by Gudrun E. Koehl
This network shows the impact of papers produced by Gudrun E. Koehl. 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 Gudrun E. Koehl. The network helps show where Gudrun E. Koehl may publish in the future.
Co-authors
The 25 scholars most cited alongside Gudrun E. Koehl, 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 | 2017 | 286 | |
| 2 | 2016 | 14 | |
| 3 | 2015 | 20 | |
| 4 | 2015 | 53 | |
| 5 | 2013 | 4 | |
| 6 | 2012 | 8 | |
| 7 | 2012 | 83 | |
| 8 | 2012 | 14 | |
| 9 | 2010 | 42 | |
| 10 | 2009 | 50 | |
| 11 | 2009 | 45 | |
| 12 | 2009 | 36 | |
| 13 | 2008 | 210 | |
| 14 | 2007 | 29 | |
| 15 | 2007 | 138 | |
| 16 | 2006 | 212 | |
| 17 | 2004 | 79 | |
| 18 | 2004 | 54 | |
| 19 | 2003 | 9 | |
| 20 | A primary tumor promotes dormancy of solitary tumor cells before inhibiting angiogenesis. | 2001 | 107 |
About Gudrun E. Koehl
Gudrun E. Koehl is a scholar working on Transplantation, Immunology, Cancer Research, Immunology and Allergy and Oncology, having authored 44 papers that have together received 4.0k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (11 papers), Angiogenesis and VEGF in Cancer (10 papers), Immune Cell Function and Interaction (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), T-cell and B-cell Immunology (6 papers), Cancer Research and Treatments (4 papers), Polyomavirus and related diseases (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Transplantation (352 citations), Oncology (1.2k citations), Cancer Research (615 citations), Genetics (334 citations) and Immunology (599 citations). Gudrun E. Koehl has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Edward K. Geissler, Markus Steinbauer, Markus Guba, Karl‐Walter Jauch, Christiane J. Bruns, Matthias Anthuber, Stefan Farkas, Hans J. Schlitt, Carl Zuelke and Philipp von Breitenbuch. Their work appears in journals such as Transplantation, The Journal of Immunology, Clinical Cancer Research, International Journal of Cancer and Cancer Prevention Research.
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.