Kurt E.J. Dittmar
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Endocrinology top 5%
- Escherichia coli research studies
Papers in
- Immunology 22
- Immunotherapy and Immune Responses 11
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 7
- Co-authors
- Werner Lindenmaier (19 shared papers)Manfred Rohde (9 shared papers)Jan Buer (6 shared papers)Bin Ma (7 shared papers)H. Heckers (7 shared papers)V. Moennig (3 shared papers)Michael Mengel (2 shared papers)Siegfried Weiß (6 shared papers)
- Journals
- Transfusion (2 papers)Blood (2 papers)Angewandte Chemie International Edition (2 papers)The Journal of Immunology (2 papers)Journal of Virology (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Kurt E.J. Dittmar
62 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 119
- Immunology 634
- Endocrinology 141
- Genetics 191
- Agronomy and Crop Science 119
- Biotechnology 97
Countries citing papers authored by Kurt E.J. Dittmar
This map shows the geographic impact of Kurt E.J. 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 Kurt E.J. Dittmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kurt E.J. Dittmar more than expected).
Fields of papers citing papers by Kurt E.J. Dittmar
This network shows the impact of papers produced by Kurt E.J. 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 Kurt E.J. Dittmar. The network helps show where Kurt E.J. Dittmar may publish in the future.
Co-authors
The 25 scholars most cited alongside Kurt E.J. 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 216 | |
| 2 | 2012 | 107 | |
| 3 | 2004 | 96 | |
| 4 | 2015 | 91 | |
| 5 | 2003 | 86 | |
| 6 | 2006 | 71 | |
| 7 | 2003 | 58 | |
| 8 | 1996 | 56 | |
| 9 | 2014 | 55 | |
| 10 | 2001 | 52 | |
| 11 | 1989 | 51 | |
| 12 | 1993 | 50 | |
| 13 | 1992 | 49 | |
| 14 | 2006 | 46 | |
| 15 | 2007 | 45 | |
| 16 | 1980 | 44 | |
| 17 | 2003 | 44 | |
| 18 | 2012 | 43 | |
| 19 | 2000 | 40 | |
| 20 | 2003 | 37 |
About Kurt E.J. Dittmar
Kurt E.J. Dittmar is a scholar working on Immunology, Molecular Biology, Genetics, Genetics and Oncology, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), Virus-based gene therapy research (7 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), Animal Disease Management and Epidemiology (5 papers), Animal Virus Infections Studies (4 papers), Listeria monocytogenes in Food Safety (4 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Immunology (634 citations), Endocrinology (141 citations), Genetics (191 citations), Agronomy and Crop Science (119 citations) and Biotechnology (97 citations). Kurt E.J. Dittmar has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Werner Lindenmaier, Manfred Rohde, Jan Buer, Bin Ma, H. Heckers, V. Moennig, Michael Mengel, Siegfried Weiß, Tracy Doan and Jörg Lauber. Their work appears in journals such as Transfusion, Blood, Angewandte Chemie International Edition, The Journal of Immunology and Journal of Virology.
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.