Kai Dittmann
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Macrophage Migration Inhibitory Factor
Papers in
-
- Hedgehog Signaling Pathway Studies 6
- Epigenetics and DNA Methylation 2
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Galectins and Cancer Biology 2
- Immune cells in cancer 2
- Co-authors
- Jürgen Wienands (14 shared papers)Michael Engelke (7 shared papers)Heidi Hahn (11 shared papers)Niklas Engels (2 shared papers)Ralf Dressel (4 shared papers)Björn Stork (1 shared paper)Anja Uhmann (7 shared papers)Regina Fluhrer (2 shared papers)
- Journals
- The Journal of Immunology (2 papers)Frontiers in Oncology (2 papers)PLoS ONE (2 papers)Journal of Biological Chemistry (2 papers)Nature Communications (1 paper)
- Partner nations
- GermanyUnited StatesPoland
In The Last Decade
Kai Dittmann
20 papers receiving 553 citations
Peers
Comparison fields: 5 of 72
- Immunology 222
- Physiology 23
- Sensory Systems 21
- Molecular Biology 294
- Oncology 95
Countries citing papers authored by Kai Dittmann
This map shows the geographic impact of Kai Dittmann'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 Dittmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Dittmann more than expected).
Fields of papers citing papers by Kai Dittmann
This network shows the impact of papers produced by Kai Dittmann. 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 Dittmann. The network helps show where Kai Dittmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Dittmann, 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 | 2012 | 99 | |
| 2 | 2007 | 77 | |
| 3 | 2007 | 70 | |
| 4 | 2011 | 62 | |
| 5 | 2014 | 32 | |
| 6 | 2015 | 30 | |
| 7 | 2014 | 28 | |
| 8 | 2012 | 26 | |
| 9 | 2015 | 21 | |
| 10 | 2007 | 16 | |
| 11 | 2011 | 14 | |
| 12 | 2013 | 13 | |
| 13 | 2016 | 12 | |
| 14 | 2013 | 11 | |
| 15 | 2012 | 10 | |
| 16 | 2015 | 10 | |
| 17 | 2014 | 10 | |
| 18 | 2018 | 9 | |
| 19 | 2013 | 7 | |
| 20 | Supplementary Movie 1 | 2011 | 2 |
About Kai Dittmann
Kai Dittmann is a scholar working on Molecular Biology, Immunology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 20 papers that have together received 559 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (6 papers), Tumors and Oncological Cases (5 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Galectins and Cancer Biology (2 papers), Oral and Maxillofacial Pathology (2 papers), Immune cells in cancer (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Immunology (222 citations), Physiology (23 citations), Sensory Systems (21 citations), Molecular Biology (294 citations) and Oncology (95 citations). Kai Dittmann has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Jürgen Wienands, Michael Engelke, Heidi Hahn, Niklas Engels, Ralf Dressel, Björn Stork, Anja Uhmann, Regina Fluhrer, Paul Säftig and Renate Lüllmann‐Rauch. Their work appears in journals such as The Journal of Immunology, Frontiers in Oncology, PLoS ONE, Journal of Biological Chemistry and Nature Communications.
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.