Daniel G. Rudmann
Impact in
- Small Animals top 5%
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
- Genetics 10
- Virus-based gene therapy research 4
- Estrogen and related hormone effects 4
- Co-authors
- Mark W. Moore (3 shared papers)Jeffrey C. Hanson (1 shared paper)Shawn M. Heidel (1 shared paper)James T. Alston (1 shared paper)Angela M. Preston (2 shared papers)James M. Beck (2 shared papers)Kristin Wilson (3 shared papers)Stephen K. Durham (1 shared paper)
- Journals
- Toxicologic Pathology (13 papers)Veterinary Pathology (2 papers)Archives of Pathology & Laboratory Medicine (2 papers)Toxicological Sciences (1 paper)Endocrinology (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Daniel G. Rudmann
27 papers receiving 983 citations
Peers
Comparison fields: 5 of 112
- Small Animals 56
- Biophysics 43
- Immunology 128
- Cancer Research 77
- Toxicology 17
Countries citing papers authored by Daniel G. Rudmann
This map shows the geographic impact of Daniel G. Rudmann'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 Daniel G. Rudmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Rudmann more than expected).
Fields of papers citing papers by Daniel G. Rudmann
This network shows the impact of papers produced by Daniel G. Rudmann. 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 Daniel G. Rudmann. The network helps show where Daniel G. Rudmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel G. Rudmann, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 142 | |
| 2 | 2017 | 140 | |
| 3 | 2012 | 92 | |
| 4 | 1998 | 59 | |
| 5 | 2012 | 58 | |
| 6 | Susceptibility to Pneumocystis carinii in mice is dependent on simultaneous deletion of IFN-gamma and type 1 and 2 TNF receptor genes. | 1998 | 58 |
| 7 | 2000 | 53 | |
| 8 | 2007 | 51 | |
| 9 | 2017 | 44 | |
| 10 | 2005 | 43 | |
| 11 | 2005 | 42 | |
| 12 | 2015 | 38 | |
| 13 | 2009 | 35 | |
| 14 | 1999 | 30 | |
| 15 | 1992 | 20 | |
| 16 | 1996 | 20 | |
| 17 | 2018 | 18 | |
| 18 | 2004 | 15 | |
| 19 | 2005 | 13 | |
| 20 | 2018 | 11 |
About Daniel G. Rudmann
Daniel G. Rudmann is a scholar working on Genetics, Molecular Biology, Health, Toxicology and Mutagenesis, Epidemiology and Immunology, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Estrogen and related hormone effects (4 papers), AI in cancer detection (3 papers), Cell Image Analysis Techniques (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Immunotoxicology and immune responses (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Small Animals (56 citations), Biophysics (43 citations), Immunology (128 citations), Cancer Research (77 citations) and Toxicology (17 citations). Daniel G. Rudmann has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Mark W. Moore, Jeffrey C. Hanson, Shawn M. Heidel, James T. Alston, Angela M. Preston, James M. Beck, Kristin Wilson, Stephen K. Durham, Famke Aeffner and Brad Bolon. Their work appears in journals such as Toxicologic Pathology, Veterinary Pathology, Archives of Pathology & Laboratory Medicine, Toxicological Sciences and Endocrinology.
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.