Daniel M. Doran
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- Immunotherapy and Immune Responses 2
- Immune Cell Function and Interaction 1
-
- Computational Drug Discovery Methods 3
- Co-authors
- Francesco Sinigaglia (2 shared papers)Maria Guttinger (2 shared papers)Hugues Matile (2 shared papers)J. R. L. Pink (2 shared papers)Dieter Gillessen (2 shared papers)Béla Takács (2 shared papers)H. Etlinger (1 shared paper)Anna M. Trzeciak (1 shared paper)
- Journals
- Nature (2 papers)Journal of Immunological Methods (1 paper)European Journal of Immunology (1 paper)Journal of Reproductive Immunology (1 paper)Molecular Simulation (1 paper)
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Daniel M. Doran
10 papers receiving 744 citations
Peers
Comparison fields: 5 of 69
- Immunology 470
- Virology 88
- Radiology, Nuclear Medicine and Imaging 179
- Microbiology 36
- Public Health, Environmental and Occupational Health 156
Countries citing papers authored by Daniel M. Doran
This map shows the geographic impact of Daniel M. Doran'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 M. Doran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Doran more than expected).
Fields of papers citing papers by Daniel M. Doran
This network shows the impact of papers produced by Daniel M. Doran. 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 M. Doran. The network helps show where Daniel M. Doran may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniel M. Doran, 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 | 1988 | 351 | |
| 2 | 1992 | 245 | |
| 3 | 1988 | 71 | |
| 4 | 1980 | 38 | |
| 5 | 1988 | 30 | |
| 6 | 1986 | 24 | |
| 7 | 1995 | 24 | |
| 8 | 1982 | 5 | |
| 9 | 1993 | 3 | |
| 10 | 1993 | 1 |
About Daniel M. Doran
Daniel M. Doran is a scholar working on Immunology, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health, Pharmacology and Molecular Biology, having authored 10 papers that have together received 792 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), vaccines and immunoinformatics approaches (2 papers), Malaria Research and Control (2 papers), Immunotherapy and Immune Responses (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Immune Cell Function and Interaction (1 paper), Vanadium and Halogenation Chemistry (1 paper) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Immunology (470 citations), Virology (88 citations), Radiology, Nuclear Medicine and Imaging (179 citations), Microbiology (36 citations) and Public Health, Environmental and Occupational Health (156 citations). Daniel M. Doran has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Francesco Sinigaglia, Maria Guttinger, Hugues Matile, J. R. L. Pink, Dieter Gillessen, Béla Takács, H. Etlinger, Anna M. Trzeciak, Giancarlo Cammarota and Reinhard Knorr. Their work appears in journals such as Nature, Journal of Immunological Methods, European Journal of Immunology, Journal of Reproductive Immunology and Molecular Simulation.
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.