Thomas Dittmar
Impact in
- Oncology top 2%
- Cancer Cells and Metastasis
- Biotechnology top 2%
- Cancer Research and Treatments
Papers in
- Oncology 54
- Cancer Cells and Metastasis 39
- HER2/EGFR in Cancer Research 8
- Co-authors
- Kurt S. Zänker (40 shared papers)Bernd Niggemann (27 shared papers)Eckhard Worch (11 shared papers)Viktor Schmalz (10 shared papers)Burkhard Brandt (12 shared papers)Wolfgang Hatzmann (8 shared papers)Ralf Hass (7 shared papers)Christoph Heyder (5 shared papers)
- Journals
- International Journal of Molecular Sciences (12 papers)Chemie Ingenieur Technik (7 papers)Cell Communication and Signaling (5 papers)Cancers (4 papers)Journal of Visualized Experiments (4 papers)
- Partner nations
- GermanyUnited StatesCroatia
In The Last Decade
Thomas Dittmar
110 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 133
- Oncology 1.1k
- Biotechnology 255
- Cancer Research 368
- Immunology and Allergy 132
- Genetics 211
Countries citing papers authored by Thomas Dittmar
This map shows the geographic impact of Thomas Dittmar'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 Thomas Dittmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Dittmar more than expected).
Fields of papers citing papers by Thomas Dittmar
This network shows the impact of papers produced by Thomas Dittmar. 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 Thomas Dittmar. The network helps show where Thomas Dittmar may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Dittmar, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 144 | |
| 2 | 2002 | 109 | |
| 3 | 1999 | 86 | |
| 4 | 2012 | 76 | |
| 5 | 2009 | 75 | |
| 6 | 2007 | 71 | |
| 7 | 2005 | 68 | |
| 8 | 2015 | 63 | |
| 9 | 2010 | 60 | |
| 10 | 1998 | 51 | |
| 11 | 2012 | 50 | |
| 12 | 2002 | 46 | |
| 13 | 2007 | 46 | |
| 14 | 2003 | 45 | |
| 15 | 2007 | 45 | |
| 16 | 2005 | 44 | |
| 17 | 2019 | 43 | |
| 18 | 2014 | 39 | |
| 19 | 2011 | 38 | |
| 20 | 2018 | 37 |
About Thomas Dittmar
Thomas Dittmar is a scholar working on Oncology, Molecular Biology, Immunology, Cell Biology and Biomedical Engineering, having authored 111 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (39 papers), Mesenchymal stem cell research (11 papers), Cancer Research and Treatments (11 papers), HER2/EGFR in Cancer Research (8 papers), Cell Adhesion Molecules Research (8 papers), Immunotherapy and Immune Responses (8 papers), Virus-based gene therapy research (7 papers) and Tissue Engineering and Regenerative Medicine (6 papers). The work is most often cited by research in Oncology (1.1k citations), Biotechnology (255 citations), Cancer Research (368 citations), Immunology and Allergy (132 citations) and Genetics (211 citations). Thomas Dittmar has collaborated with scholars based in Germany, United States and Croatia. Frequent co-authors include Kurt S. Zänker, Bernd Niggemann, Eckhard Worch, Viktor Schmalz, Burkhard Brandt, Wolfgang Hatzmann, Ralf Hass, Christoph Heyder, Kurt S. Zaenker and Jerzy‐Roch Nofer. Their work appears in journals such as International Journal of Molecular Sciences, Chemie Ingenieur Technik, Cell Communication and Signaling, Cancers and Journal of Visualized Experiments.
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.