Sean C. Daugherty

18.9k citations
46 papers · 2.8k · h-index 24

Impact in

Papers in

Sean C. Daugherty

46 papers receiving 2.8k citations

Peers

Sean C. Daugherty
Comparison fields: 5 of 124
  • Endocrinology 277
  • Molecular Medicine 180
  • Microbiology 211
  • Infectious Diseases 459
  • Insect Science 321
Replace Wei Shen with:
Wei Shen China
Karin Lagesen Norway
P. W. J. Taylor Australia
Michiel Vos United Kingdom
Fuquan Hu China
George W. Sundin United States
Nancy H. C. Roosens Belgium
Thomas Schmidt Switzerland
Ana Hernández-Plaza Spain
Clive W. Ronson New Zealand
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Sean C. Daugherty

Since Specialization
Citations

This map shows the geographic impact of Sean C. Daugherty'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 Sean C. Daugherty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean C. Daugherty more than expected).

Fields of papers citing papers by Sean C. Daugherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean C. Daugherty. 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 Sean C. Daugherty. The network helps show where Sean C. Daugherty may publish in the future.

Co-authors

The 25 scholars most cited alongside Sean C. Daugherty, 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 Sean C. Daugherty Line = papers co-authored together Sean C. Daugherty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004418
2 2006346
3 2008209
4 2005205
5 2006197
6 2006177
7 2011158
8 2011106
9 201695
10 201784
11 200979
12 201755
13 201653
14 200551
15 201149
16 201744
17 201537
18 201436
19 200534
20 202129

About Sean C. Daugherty

Sean C. Daugherty is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Ecology and Genetics, having authored 46 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Pneumonia and Respiratory Infections (6 papers), Escherichia coli research studies (6 papers), Bacteriophages and microbial interactions (6 papers), Streptococcal Infections and Treatments (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Endocrinology (277 citations), Molecular Medicine (180 citations), Microbiology (211 citations), Infectious Diseases (459 citations) and Insect Science (321 citations). Sean C. Daugherty has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Luke J. Tallon, Hoda Khouri, Robert J. Dodson, Robert T. DeBoy, David A. Rasko, Lauren Brinkac, Ramana Madupu, Jonathan H. Badger, Claire M. Fraser and Jonathan A. Eisen. Their work appears in journals such as Journal of Bacteriology, PLoS Genetics, BMC Genomics, PLoS ONE and Pathogens and Disease.

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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