Colm Atkins

811 citations
24 papers · 536 · h-index 13

Impact in

Papers in

    • Viral Infections and Vectors 11
    • Viral Infections and Outbreaks Research 6
    • Respiratory viral infections research 4
    • Virology and Viral Diseases 4
    • Influenza Virus Research Studies 2

Colm Atkins

24 papers receiving 524 citations

Peers

Colm Atkins
Comparison fields: 5 of 76
  • Developmental Neuroscience 65
  • Neurology 110
  • Infectious Diseases 167
  • Immunology 131
  • Virology 27
Replace Emma Nilsson with:
Emma Nilsson Sweden
Fabien Aubry France
Julia Spanier Germany
Hui Nie China
A. Moerman United States
Fabiele Baldino Russo Brazil
Lucia Whitman United States
Bhavin Shah Germany
Ruth Didier United States
José Antônio Picanço Diniz Brazil
Colm Atkins relative to Emma Nilsson Sweden Emma Nilsson's profile →
Citations per field
00.5×3.9×
Emma Nilsson · 1×
Citations per year

Countries citing papers authored by Colm Atkins

Since Specialization
Citations

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

Fields of papers citing papers by Colm Atkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021146
2 201776
3 202149
4 201926
5 200723
6 201823
7 201722
8 201821
9 201521
10 202218
11 202216
12 201815
13 201212
14 200712
15 201712
16 202411
17 20149
18 20235
19 20215
20 20235

About Colm Atkins

Colm Atkins is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Immunology and Neurology, having authored 24 papers that have together received 536 indexed citations. Recurring topics across this work include Viral Infections and Vectors (11 papers), Mosquito-borne diseases and control (7 papers), Viral Infections and Outbreaks Research (6 papers), interferon and immune responses (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Respiratory viral infections research (4 papers), Virology and Viral Diseases (4 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Developmental Neuroscience (65 citations), Neurology (110 citations), Infectious Diseases (167 citations), Immunology (131 citations) and Virology (27 citations). Colm Atkins has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Alexander N. Freiberg, Brian P. Daniels, Xiaoxi Li, Ranjie Xu, Caroline Erickson, Zhiping P. Pang, Mengmeng Jin, Peng Jiang, Andrew J. Boreland and Ricardo Rajsbaum. Their work appears in journals such as The Journal of Infectious Diseases, Journal of Virology, Journal of Neuroinflammation, PLoS Pathogens and Ornithological Applications.

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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