Anja Dankof
Impact in
- Transplantation top 5%
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Galectins and Cancer Biology
Papers in
- Surgery 6
- Organ Transplantation Techniques and Outcomes 4
- Co-authors
- Glen Kristiansen (8 shared papers)Veit Krenn (8 shared papers)Manfred Dietel (7 shared papers)Stefan Pahl (5 shared papers)Edgar Dahl (5 shared papers)Mick Burkhardt (4 shared papers)Florian Fritzsche (5 shared papers)Axel Dignaß (2 shared papers)
- Journals
- Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (6 papers)Clinical Cancer Research (1 paper)The Journal of Rheumatology (1 paper)Blood (1 paper)Journal of Molecular Medicine (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Anja Dankof
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Transplantation 58
- Immunology 307
- Hepatology 79
- Oncology 211
- Cancer Research 88
Countries citing papers authored by Anja Dankof
This map shows the geographic impact of Anja Dankof'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 Anja Dankof with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anja Dankof more than expected).
Fields of papers citing papers by Anja Dankof
This network shows the impact of papers produced by Anja Dankof. 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 Anja Dankof. The network helps show where Anja Dankof may publish in the future.
Co-authors
The 25 scholars most cited alongside Anja Dankof, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 212 | |
| 2 | 2006 | 149 | |
| 3 | 2005 | 108 | |
| 4 | 2007 | 107 | |
| 5 | 2006 | 99 | |
| 6 | 2007 | 87 | |
| 7 | 2007 | 72 | |
| 8 | 2005 | 63 | |
| 9 | 2006 | 56 | |
| 10 | 2007 | 52 | |
| 11 | 2007 | 50 | |
| 12 | 2006 | 49 | |
| 13 | 2005 | 35 | |
| 14 | 2005 | 22 | |
| 15 | 2008 | 21 | |
| 16 | 2005 | 13 | |
| 17 | 2006 | 13 | |
| 18 | 2009 | 12 | |
| 19 | 2008 | 10 | |
| 20 | 2006 | 9 |
About Anja Dankof
Anja Dankof is a scholar working on Surgery, Molecular Biology, Physiology, Immunology and Hepatology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Liver Disease and Transplantation (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers), Healthcare cost, quality, practices (1 paper) and Metastasis and carcinoma case studies (1 paper). The work is most often cited by research in Transplantation (58 citations), Immunology (307 citations), Hepatology (79 citations), Oncology (211 citations) and Cancer Research (88 citations). Anja Dankof has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Glen Kristiansen, Veit Krenn, Manfred Dietel, Stefan Pahl, Edgar Dahl, Mick Burkhardt, Florian Fritzsche, Axel Dignaß, Andreas Sturm and Daniela Paclik. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Clinical Cancer Research, The Journal of Rheumatology, Blood and Journal of Molecular Medicine.
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.