Neil Renwick

4.0k citations
51 papers · 2.4k · h-index 24

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Parvovirus B19 Infection Studies
    • Viral gastroenteritis research and epidemiology

Papers in

    • RNA modifications and cancer 6
    • Circular RNAs in diseases 5
    • Molecular Biology Techniques and Applications 5
    • MicroRNA in disease regulation 16
    • Cancer-related molecular mechanisms research 12

Neil Renwick

50 papers receiving 2.4k citations

Peers

Neil Renwick
Comparison fields: 5 of 122
  • Cancer Research 652
  • Infectious Diseases 594
  • Epidemiology 841
  • Oncology 653
  • Molecular Biology 983
Replace Sean E. Doyle with:
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Neil Renwick relative to Sean E. Doyle United States Sean E. Doyle's profile →
Citations per field
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Sean E. Doyle · 1×
Citations per year

Countries citing papers authored by Neil Renwick

Since Specialization
Citations

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

Fields of papers citing papers by Neil Renwick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011256
2 2006246
3 2015167
4 1998162
5 2007135
6 2005121
7 2000119
8 2011108
9 2015103
10 201398
11 201292
12 200068
13 200465
14 200059
15 201257
16 201653
17 200647
18
Regression of AIDS-related Kaposi's sarcoma associated with clearance of human herpesvirus-8 from peripheral blood mononuclear cells following initiation of antiretroviral therapy.
199842
19 200041
20 201841

About Neil Renwick

Neil Renwick is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Infectious Diseases, having authored 51 papers that have together received 2.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (16 papers), Cancer-related molecular mechanisms research (12 papers), Viral-associated cancers and disorders (10 papers), RNA modifications and cancer (6 papers), Circular RNAs in diseases (5 papers), Molecular Biology Techniques and Applications (5 papers), Lung Cancer Research Studies (5 papers) and Cytomegalovirus and herpesvirus research (5 papers). The work is most often cited by research in Cancer Research (652 citations), Infectious Diseases (594 citations), Epidemiology (841 citations), Oncology (653 citations) and Molecular Biology (983 citations). Neil Renwick has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Thomas Tuschl, Markus Hafner, W. Ian Lipkin, Thomas Briese, Vishal Kapoor, Thomas F. Schulz, Nicole H. T. M. Dukers–Muijrers, Jaap Goudsmit, Gustavo Palacios and Zhiqiang Liu. Their work appears in journals such as The Journal of Infectious Diseases, Emerging infectious diseases, AIDS, Methods and Cancer.

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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