Daniel Hogan
Impact in
- Microbiology top 0.5%
- Reproductive tract infections research
- Parasitology top 0.5%
- Vector-borne infectious diseases
Papers in
- Microbiology 10
- Reproductive tract infections research 5
- Bacterial Infections and Vaccines 5
-
- Vector-borne infectious diseases 8
- Co-authors
- Patricia A. Rosa (7 shared papers)Robert J. Belland (9 shared papers)Harlan D. Caldwell (4 shared papers)Deborah D. Crane (3 shared papers)Tom G. Schwan (3 shared papers)Daniel E. Sturdevant (3 shared papers)Wandy L. Beatty (2 shared papers)Jyotika Sharma (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Molecular Microbiology (3 papers)Infection and Immunity (3 papers)Journal of Bacteriology (2 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Daniel Hogan
19 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 70
- Microbiology 865
- Parasitology 629
- Infectious Diseases 555
- Insect Science 259
- Immunology 336
Countries citing papers authored by Daniel Hogan
This map shows the geographic impact of Daniel Hogan'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 Hogan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hogan more than expected).
Fields of papers citing papers by Daniel Hogan
This network shows the impact of papers produced by Daniel Hogan. 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 Hogan. The network helps show where Daniel Hogan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Hogan, 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 | 2003 | 394 | |
| 2 | 2003 | 208 | |
| 3 | 2001 | 150 | |
| 4 | 1992 | 136 | |
| 5 | 1991 | 123 | |
| 6 | 1992 | 122 | |
| 7 | 2004 | 91 | |
| 8 | 1994 | 84 | |
| 9 | 1996 | 83 | |
| 10 | 1997 | 82 | |
| 11 | 1996 | 56 | |
| 12 | 1994 | 50 | |
| 13 | 1998 | 47 | |
| 14 | 1999 | 43 | |
| 15 | 1997 | 35 | |
| 16 | 2002 | 35 | |
| 17 | 1997 | 16 | |
| 18 | 2019 | 12 | |
| 19 | 2019 | 1 |
About Daniel Hogan
Daniel Hogan is a scholar working on Microbiology, Parasitology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Insect Science, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (8 papers), Reproductive tract infections research (5 papers), Bacterial Infections and Vaccines (5 papers), Insect symbiosis and bacterial influences (4 papers), Vector-Borne Animal Diseases (3 papers), Viral Infections and Vectors (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Microbiology (865 citations), Parasitology (629 citations), Infectious Diseases (555 citations), Insect Science (259 citations) and Immunology (336 citations). Daniel Hogan has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Patricia A. Rosa, Robert J. Belland, Harlan D. Caldwell, Deborah D. Crane, Tom G. Schwan, Daniel E. Sturdevant, Wandy L. Beatty, Jyotika Sharma, Guangming Zhong and Kit Tilly. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Microbiology, Infection and Immunity, Journal of Bacteriology and The Journal of Experimental Medicine.
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.