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 21
- Immunotherapy and Immune Responses 12
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 6
- Genetics 6
- Virus-based gene therapy research 7
- Co-authors
- Werner Lindenmaier (20 shared papers)Jan Buer (7 shared papers)Manfred Rohde (9 shared papers)Herbert Heckers (7 shared papers)Jörg Lauber (3 shared papers)Bin Ma (7 shared papers)Volker Moennig (3 shared papers)Michael Mengel (2 shared papers)
- Journals
- Journal of General Virology (2 papers)Acta Histochemica (2 papers)Blood (2 papers)The Journal of Immunology (2 papers)Transfusion (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Kurt E.J. Dittmar
63 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 118
- Immunology 624
- Endocrinology 152
- Genetics 199
- Aging 29
- Biotechnology 118
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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 226 | |
| 2 | 2003 | 136 | |
| 3 | 2012 | 124 | |
| 4 | 2003 | 97 | |
| 5 | 2004 | 97 | |
| 6 | 2015 | 94 | |
| 7 | 2006 | 73 | |
| 8 | 2003 | 61 | |
| 9 | 1989 | 60 | |
| 10 | 2014 | 56 | |
| 11 | 1996 | 56 | |
| 12 | 2001 | 52 | |
| 13 | 1993 | 52 | |
| 14 | 2006 | 51 | |
| 15 | 1992 | 49 | |
| 16 | 1980 | 48 | |
| 17 | 2007 | 48 | |
| 18 | 2003 | 48 | |
| 19 | 2015 | 47 | |
| 20 | 2012 | 46 |
About Kurt E.J. Dittmar
Kurt E.J. Dittmar is a scholar working on Immunology, Genetics, Agronomy and Crop Science, Genetics and Molecular Biology, having authored 64 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), Virus-based gene therapy research (7 papers), Immune Cell Function and Interaction (6 papers), Animal Disease Management and Epidemiology (6 papers), T-cell and B-cell Immunology (6 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Animal Virus Infections Studies (4 papers) and Listeria monocytogenes in Food Safety (4 papers). The work is most often cited by research in Immunology (624 citations), Endocrinology (152 citations), Genetics (199 citations), Aging (29 citations) and Biotechnology (118 citations). Kurt E.J. Dittmar has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Werner Lindenmaier, Jan Buer, Manfred Rohde, Herbert Heckers, Jörg Lauber, Bin Ma, Volker Moennig, Michael Mengel, Michael Probst‐Kepper and Tracy Doan. Their work appears in journals such as Journal of General Virology, Acta Histochemica, Blood, The Journal of Immunology and Transfusion.
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.