Jacqueline King

2.4k citations
38 papers · 814 · h-index 16

Impact in

Papers in

    • Influenza Virus Research Studies 21
    • Respiratory viral infections research 4
    • Virology and Viral Diseases 2
    • Substance Abuse Treatment and Outcomes 2
    • Viral Infections and Vectors 11
    • Viral gastroenteritis research and epidemiology 8

Jacqueline King

36 papers receiving 798 citations

Peers

Jacqueline King
Comparison fields: 5 of 75
  • Agronomy and Crop Science 267
  • Epidemiology 430
  • Infectious Diseases 234
  • Virology 33
  • Animal Science and Zoology 71
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Citations per field
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Citations per year

Countries citing papers authored by Jacqueline King

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016195
2 202053
3 202246
4 201945
5 201344
6 201743
7 202037
8 202236
9 202331
10 201927
11 202026
12 202324
13 202124
14 202022
15 202117
16 201917
17 202213
18 202312
19 202011
20 202210

About Jacqueline King

Jacqueline King is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Animal Science and Zoology, having authored 38 papers that have together received 814 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (21 papers), Animal Disease Management and Epidemiology (17 papers), Viral Infections and Vectors (11 papers), Viral gastroenteritis research and epidemiology (8 papers), Vector-Borne Animal Diseases (4 papers), Respiratory viral infections research (4 papers), Virology and Viral Diseases (2 papers) and Substance Abuse Treatment and Outcomes (2 papers). The work is most often cited by research in Agronomy and Crop Science (267 citations), Epidemiology (430 citations), Infectious Diseases (234 citations), Virology (33 citations) and Animal Science and Zoology (71 citations). Jacqueline King has collaborated with scholars based in Germany, United States and Bangladesh. Frequent co-authors include Anne Pohlmann, Martin Beer, Timm Harder, Courtney Nordeck, Anjalee Sharma, Dace S. Svikis, Geetha Subramaniam, Lauretta Cathers, Jennifer McNeely and Li‐Tzy Wu. Their work appears in journals such as Viruses, Emerging infectious diseases, Journal of General Virology, Pathogens and Virus Evolution.

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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