Simon H. Williams

2.2k citations
32 papers · 1.4k indexed · 1 hit paper · h-index 20

Impact in

    • Viral Infections and Vectors
    • Viral gastroenteritis research and epidemiology
    • Vector-borne infectious diseases

Papers in

Simon H. Williams

32 papers receiving 1.4k citations

Hit Papers

Detection of Zoonotic Pathogens and Characterization of Novel Viruses Carried by Commensal Rattus norvegicus in New York City 2014 · 296 citations
296201420262018202250100150200250

Peers

Simon H. Williams
Comparison fields: 5 of 88
  • Infectious Diseases 716
  • Parasitology 196
  • Animal Science and Zoology 184
  • Epidemiology 573
  • Modeling and Simulation 65
Replace Sarah Temmam with:
Sarah Temmam France
Parntep Ratanakorn Thailand
Ho-Sheng Wu Taiwan
Paul F. Horwood Australia
Mario Chiari Italy
Eitel Mpoudi Ngole Cameroon
Tamaš Petrović Serbia
Renate Wernery United Arab Emirates
Michelle Wille Australia
Conny Tolf Sweden
Simon H. Williams relative to Sarah Temmam France Sarah Temmam's profile →
Citations per field
00.5×3.1×
Sarah Temmam · 1×
Citations per year

Countries citing papers authored by Simon H. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Simon H. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202024
2 202011
3 201928
4 201711
5 20164
6 201533
7 20156
8 201424
9 2014161
10 201058
11 201016
12 201067
13 201043
14 201019
15 201046
16 201025
17 201025
18 201062
19 200919
20 200910

About Simon H. Williams

Simon H. Williams is a scholar working on Infectious Diseases, Parasitology, Modeling and Simulation, Epidemiology and Virology, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (14 papers), Respiratory viral infections research (11 papers), Viral Infections and Vectors (9 papers), Viral gastroenteritis research and epidemiology (7 papers), Pneumonia and Respiratory Infections (4 papers), COVID-19 epidemiological studies (3 papers), Vector-borne infectious diseases (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Infectious Diseases (716 citations), Parasitology (196 citations), Animal Science and Zoology (184 citations), Epidemiology (573 citations) and Modeling and Simulation (65 citations). Simon H. Williams has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include W. Ian Lipkin, David W. Smith, Xiaoyu Che, Komal Jain, Bohyun Lee, Stephen Sameroff, Rafal Tokarz, Heath Kelly, Maria Sanchez Leon and David Speers. Their work appears in journals such as PLoS ONE, Emerging infectious diseases, The Medical Journal of Australia, mBio and mSphere.

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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