Simon Cocklin

2.8k citations
73 papers · 2.1k · h-index 28

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 44
    • HIV/AIDS drug development and treatment 38
    • HIV/AIDS Research and Interventions 8

Simon Cocklin

72 papers receiving 2.1k citations

Peers

Simon Cocklin
Comparison fields: 5 of 107
  • Virology 811
  • Infectious Diseases 853
  • Hepatology 117
  • Microbiology 92
  • Organic Chemistry 399
Replace Manos Perros with:
Manos Perros United Kingdom
William E. Kohlbrenner United States
Mika Okamoto Japan
Francesca Curreli United States
Choung U. Kim United States
Pin‐Fang Lin United States
Geoffrey B. Dreyer United States
E. Lucile White United States
Pierre Bonneau Canada
Debashis Mitra India
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Citations per field
00.5×2.9×
Manos Perros · 1×
Citations per year

Countries citing papers authored by Simon Cocklin

Since Specialization
Citations

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

Fields of papers citing papers by Simon Cocklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004219
2 2020173
3 2012104
4 202095
5 201680
6 201372
7 201856
8 201953
9 202150
10 200849
11 202046
12 202046
13 200445
14 200243
15 200442
16 200842
17 200739
18 200839
19 200837
20 200637

About Simon Cocklin

Simon Cocklin is a scholar working on Virology, Infectious Diseases, Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 73 papers that have together received 2.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (44 papers), HIV/AIDS drug development and treatment (38 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), HIV/AIDS Research and Interventions (8 papers), Click Chemistry and Applications (7 papers), RNA and protein synthesis mechanisms (7 papers), Hepatitis C virus research (6 papers) and DNA Repair Mechanisms (5 papers). The work is most often cited by research in Virology (811 citations), Infectious Diseases (853 citations), Hepatology (117 citations), Microbiology (92 citations) and Organic Chemistry (399 citations). Simon Cocklin has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Alexej Dick, Megan E. Meuser, Irwin Chaiken, Xinyong Liu, Isaac Zentner, Patrick J. Loll, Alexander V. Mazin, Peng Zhan, Joseph Sodroski and Fei Huang. Their work appears in journals such as Molecules, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Virology and European Journal of Medicinal 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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