Simon H. Williams
Impact in
- Infectious Diseases top 2%
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- Parasitology top 2%
- Vector-borne infectious diseases
Papers in
-
- Viral Infections and Vectors 9
- Viral gastroenteritis research and epidemiology 7
-
- Vector-borne infectious diseases 3
- Co-authors
- W. Ian LipkinDavid W. SmithXiaoyu CheKomal JainBohyun LeeStephen SameroffRafal TokarzHeath Kelly
- Journals
- PLoS ONE (4 papers)Emerging infectious diseases (3 papers)The Medical Journal of Australia (3 papers)mBio (3 papers)mSphere (2 papers)
- Partner nations
- AustraliaUnited StatesSwitzerland
In The Last Decade
Simon H. Williams
32 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Infectious Diseases 716
- Parasitology 196
- Animal Science and Zoology 184
- Epidemiology 573
- Modeling and Simulation 65
Countries citing papers authored by Simon H. Williams
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 24 | |
| 2 | 2020 | 11 | |
| 3 | 2019 | 28 | |
| 4 | 2017 | 11 | |
| 5 | 2016 | 4 | |
| 6 | 2015 | 33 | |
| 7 | 2015 | 6 | |
| 8 | 2014 | 24 | |
| 9 | 2014 | 161 | |
| 10 | 2010 | 58 | |
| 11 | 2010 | 16 | |
| 12 | 2010 | 67 | |
| 13 | 2010 | 43 | |
| 14 | 2010 | 19 | |
| 15 | 2010 | 46 | |
| 16 | 2010 | 25 | |
| 17 | 2010 | 25 | |
| 18 | 2010 | 62 | |
| 19 | 2009 | 19 | |
| 20 | 2009 | 10 |
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.