Daniel M. Hogan

2.2k citations
19 papers · 1.9k · h-index 17

Impact in

  • Microbiology top 0.5%
    • Reproductive tract infections research
    • Bacterial Infections and Vaccines
    • Vector-borne infectious diseases

Papers in

    • Reproductive tract infections research 5
    • Bacterial Infections and Vaccines 5
    • Vector-borne infectious diseases 8

Daniel M. Hogan

19 papers receiving 1.8k citations

Peers

Daniel M. Hogan
Comparison fields: 5 of 70
  • Microbiology 914
  • Parasitology 658
  • Infectious Diseases 561
  • Insect Science 257
  • Immunology 344
Replace Jerrilyn K. Howell with:
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Daniel M. Hogan relative to Jerrilyn K. Howell United States Jerrilyn K. Howell's profile →
Citations per field
00.5×1.5×1.8×
Jerrilyn K. Howell · 1×
Citations per year

Countries citing papers authored by Daniel M. Hogan

Since Specialization
Citations

This map shows the geographic impact of Daniel M. 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 M. 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 M. Hogan more than expected).

Fields of papers citing papers by Daniel M. Hogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. 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 M. Hogan. The network helps show where Daniel M. Hogan may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel M. Hogan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel M. Hogan Line = papers co-authored together Daniel M. Hogan links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2003416
2 2003215
3 2001161
4 1992145
5 1992128
6 1991126
7 2004103
8 199491
9 199788
10 199687
11 199663
12 199454
13 199849
14 199945
15 199740
16 200237
17 199721
18 201912
19 20191

About Daniel M. Hogan

Daniel M. Hogan is a scholar working on Microbiology, Parasitology, Infectious Diseases, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 19 papers that have together received 1.9k 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), Viral Infections and Vectors (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Vector-Borne Animal Diseases (3 papers) and Urinary Tract Infections Management (2 papers). The work is most often cited by research in Microbiology (914 citations), Parasitology (658 citations), Infectious Diseases (561 citations), Insect Science (257 citations) and Immunology (344 citations). Daniel M. 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, Guangming Zhong, Jyotika Sharma and Kit Tilly. Their work appears in journals such as Proceedings of the National Academy of Sciences, Infection and Immunity, Molecular Microbiology, 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.

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