Laura Cooper

2.4k citations
33 papers · 1.1k · h-index 17

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 10
    • SARS-CoV-2 detection and testing 6
    • Viral Infections and Vectors 5
    • Viral Infections and Outbreaks Research 4
    • COVID-19 Clinical Research Studies 4
    • Advanced biosensing and bioanalysis techniques 6

Laura Cooper

32 papers receiving 1.1k citations

Peers

Laura Cooper
Comparison fields: 5 of 110
  • Infectious Diseases 396
  • Computational Theory and Mathematics 145
  • Immunology 159
  • Molecular Biology 392
  • Complementary and alternative medicine 42
Replace Kamal Singh with:
Kamal Singh United States
Carleen Klumpp‐Thomas United States
Ingrid Choong United States
Wael M. Elshemey Egypt
Yingjie Wang China
Shan Feng China
Yaxue Zhao China
Kai-Wen Cheng Taiwan
Zhaoxia Huang China
Laura Cooper relative to Kamal Singh United States Kamal Singh's profile →
Citations per field
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Kamal Singh · 1×
Citations per year

Countries citing papers authored by Laura Cooper

Since Specialization
Citations

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

Fields of papers citing papers by Laura Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019256
2 2021134
3 2021130
4 202158
5 202157
6 202253
7 202145
8 199237
9 202136
10 201435
11 202234
12 202231
13 201030
14 202129
15 202122
16 202221
17 202020
18 202416
19 202415
20 199415

About Laura Cooper

Laura Cooper is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Immunology and Biomedical Engineering, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), SARS-CoV-2 detection and testing (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Viral Infections and Vectors (5 papers), Viral Infections and Outbreaks Research (4 papers), COVID-19 Clinical Research Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Infectious Diseases (396 citations), Computational Theory and Mathematics (145 citations), Immunology (159 citations), Molecular Biology (392 citations) and Complementary and alternative medicine (42 citations). Laura Cooper has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Lijun Rong, Hyun Lee, Jinghua Pan, Hui Ding, Hong Zhou, Xiaoxu Zhao, Yun-long Pan, Cox Terhorst, Ruikun Du and Gregory R. J. Thatcher. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Medical Virology, Journal of the American Chemical Society, Antiviral Research and Science Advances.

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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