Jane Sharps

1.7k citations
18 papers · 1.2k · h-index 14

Impact in

    • Influenza Virus Research Studies
    • Respiratory viral infections research
  • Immunology top 10%
    • interferon and immune responses

Papers in

    • Influenza Virus Research Studies 14
    • Respiratory viral infections research 7
    • RNA and protein synthesis mechanisms 9
    • RNA modifications and cancer 2

Jane Sharps

18 papers receiving 1.2k citations

Peers

Jane Sharps
Comparison fields: 5 of 50
  • Epidemiology 974
  • Immunology 423
  • Infectious Diseases 236
  • Molecular Biology 639
  • Agronomy and Crop Science 85
Replace Patricia Resa‐Infante with:
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Jane Sharps relative to Patricia Resa‐Infante Spain Patricia Resa‐Infante's profile →
Citations per field
00.5×1.6×
Patricia Resa‐Infante · 1×
Citations per year

Countries citing papers authored by Jane Sharps

Since Specialization
Citations

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

Fields of papers citing papers by Jane Sharps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2002222
2 2019149
3 2005128
4 2003117
5 2020107
6 200970
7 199867
8 200265
9 201264
10 199849
11 201843
12 200934
13 200630
14 201813
15 202211
16 20209
17 19965
18 20251

About Jane Sharps

Jane Sharps is a scholar working on Epidemiology, Molecular Biology, Immunology, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (14 papers), RNA and protein synthesis mechanisms (9 papers), Respiratory viral infections research (7 papers), interferon and immune responses (4 papers), Viral Infections and Immunology Research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Bacteriophages and microbial interactions (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Epidemiology (974 citations), Immunology (423 citations), Infectious Diseases (236 citations), Molecular Biology (639 citations) and Agronomy and Crop Science (85 citations). Jane Sharps has collaborated with scholars based in United Kingdom, Netherlands and Belgium. Frequent co-authors include Ervin Fodor, George G. Brownlee, Tao Deng, Louise J. Mingay, Mandy Crow, Jonathan M. Grimes, Alexander P. Walker, J.R. Keown, David C. Pritlove and Haitian Fan. Their work appears in journals such as Journal of Virology, Nature, Virology, Journal of General Virology and Journal of Biological Chemistry.

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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