Kevin Coonan

1.6k citations
16 papers · 1.2k indexed · 1 hit paper · h-index 12
Topics
Electronic Health Records Systems (7 papers)Biomedical Text Mining and Ontologies (5 papers)Viral Infections and Outbreaks Research (2 papers)
Partner nations
United StatesPhilippines

In The Last Decade

Kevin Coonan

15 papers receiving 1.2k citations

Hit Papers

Induction of Antigen-Specific Cytotoxic T Lymphocytes in ...19982026200720161998200400600

Peers

Kevin Coonan
Comparison fields: 5 of 98
  • Molecular Biology 563
  • Immunology 496
  • Infectious Diseases 311
  • Public Health, Environmental and Occupational Health 285
  • Epidemiology 253
Replace Jun Cheng with:
Jun Cheng China
Michael C. Keefer United States
Ya Ping Shi United States
Jenna Rychert United States
Tracee A. Treadwell United States
Matilu Mwau Kenya
Thomas Luke United States
Odile Leroy France
M Arneborn Sweden
Kevin Coonan relative to Jun Cheng China Jun Cheng's profile →
Citations per field
00.5×1.5×2.4×
Jun Cheng · 1×
Citations per year

Countries citing papers authored by Kevin Coonan

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Coonan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Coonan. 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 Kevin Coonan. The network helps show where Kevin Coonan may publish in the future.

Co-authorship network of co-authors of Kevin Coonan

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Coonan. A scholar is included among the top collaborators of Kevin Coonan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Coonan. Kevin Coonan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 33
2 11
3 11
4
Utility of semantically constrained automated extraction and mapping of UMLS concepts from clinical narratives.
1
5 24
6 17
7 48
8 11
9 16
10 8
11 9
12 107
13 174
14
Induction of Antigen-Specific Cytotoxic T Lymphocytes in Humans by a Malaria DNA Vaccinebreakdown →
647
15 82
16 37

About Kevin Coonan

Kevin Coonan is a scholar working on Chemical Health and Safety, Health Information Management and Virology, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Electronic Health Records Systems (7 papers), Biomedical Text Mining and Ontologies (5 papers) and Viral Infections and Outbreaks Research (2 papers). The work is most often cited by research in Virology (173 citations), Immunology (496 citations) and Health Information Management (84 citations). Kevin Coonan has collaborated with scholars based in United States and Philippines. Frequent co-authors include Martha Sedegah, Richard C. Hedstrom, Thong P. Le, Jon Norman, Denise L. Doolan, Peter Hobart, Yupin Charoenvit, Stephen L. Hoffman, Trevor R. Jones and M Margalith. Their work appears in journals such as Science, Vaccine and The Pediatric Infectious Disease Journal.

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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