Kai Doberstein
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- Renal and related cancers 4
- Epigenetics and DNA Methylation 3
- RNA modifications and cancer 3
- Oncology 5
- Co-authors
- Peter Altevogt (12 shared papers)Paul Gutwein (12 shared papers)Josef Pfeilschifter (11 shared papers)Mina Fogel (3 shared papers)Anja Schramme (6 shared papers)Mohamed S. Abdel‐Bakky (6 shared papers)Roman A. Blaheta (3 shared papers)Annette Mankertz (2 shared papers)
- Journals
- Carcinogenesis (2 papers)International Journal of Cancer (2 papers)Virology (2 papers)Biochemical and Biophysical Research Communications (2 papers)Scientific Reports (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Kai Doberstein
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Cancer Research 249
- Immunology and Allergy 83
- Oncology 299
- Nephrology 63
- Reproductive Medicine 73
Countries citing papers authored by Kai Doberstein
This map shows the geographic impact of Kai Doberstein'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 Kai Doberstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Doberstein more than expected).
Fields of papers citing papers by Kai Doberstein
This network shows the impact of papers produced by Kai Doberstein. 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 Kai Doberstein. The network helps show where Kai Doberstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Doberstein, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 132 | |
| 2 | 2013 | 85 | |
| 3 | 2008 | 81 | |
| 4 | 2009 | 79 | |
| 5 | 2009 | 72 | |
| 6 | 2009 | 64 | |
| 7 | 2016 | 61 | |
| 8 | 2009 | 57 | |
| 9 | 2014 | 57 | |
| 10 | 2010 | 47 | |
| 11 | 2011 | 44 | |
| 12 | 2009 | 38 | |
| 13 | 2014 | 38 | |
| 14 | 2007 | 37 | |
| 15 | 2014 | 35 | |
| 16 | 2010 | 30 | |
| 17 | 2014 | 29 | |
| 18 | 2008 | 22 | |
| 19 | 2011 | 22 | |
| 20 | 2023 | 16 |
About Kai Doberstein
Kai Doberstein is a scholar working on Molecular Biology, Oncology, Immunology and Allergy, Cancer Research and Immunology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (5 papers), Renal and related cancers (4 papers), MicroRNA in disease regulation (3 papers), Epigenetics and DNA Methylation (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Renal Diseases and Glomerulopathies (3 papers), RNA modifications and cancer (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Cancer Research (249 citations), Immunology and Allergy (83 citations), Oncology (299 citations), Nephrology (63 citations) and Reproductive Medicine (73 citations). Kai Doberstein has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Peter Altevogt, Paul Gutwein, Josef Pfeilschifter, Mina Fogel, Anja Schramme, Mohamed S. Abdel‐Bakky, Roman A. Blaheta, Annette Mankertz, Tim Finsterbusch and Niko P. Bretz. Their work appears in journals such as Carcinogenesis, International Journal of Cancer, Virology, Biochemical and Biophysical Research Communications and Scientific Reports.
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.