Troy Dumenil
Impact in
Papers in
-
- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 and COVID-19 Research 6
- Viral Infections and Vectors 4
- Co-authors
- Grant W. Montgomery (8 shared papers)Kexin Yan (14 shared papers)Andreas Suhrbier (14 shared papers)Daniel J. Rawle (12 shared papers)Nicholas G. Martin (5 shared papers)Michael R. James (5 shared papers)Bing Tang (12 shared papers)Cameron Bishop (8 shared papers)
- Journals
- Journal of Investigative Dermatology (3 papers)PLoS Pathogens (3 papers)Journal of Gastroenterology and Hepatology (2 papers)Virus Evolution (2 papers)The Science of The Total Environment (2 papers)
- Partner nations
- AustraliaUnited StatesNetherlands
In The Last Decade
Troy Dumenil
27 papers receiving 641 citations
Peers
Comparison fields: 5 of 89
- Biological Psychiatry 26
- Behavioral Neuroscience 27
- Infectious Diseases 128
- Pollution 65
- Pathology and Forensic Medicine 99
Countries citing papers authored by Troy Dumenil
This map shows the geographic impact of Troy Dumenil'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 Troy Dumenil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Troy Dumenil more than expected).
Fields of papers citing papers by Troy Dumenil
This network shows the impact of papers produced by Troy Dumenil. 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 Troy Dumenil. The network helps show where Troy Dumenil may publish in the future.
Co-authors
The 25 scholars most cited alongside Troy Dumenil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 91 | |
| 2 | 2016 | 70 | |
| 3 | 2021 | 68 | |
| 4 | 2008 | 46 | |
| 5 | 2017 | 42 | |
| 6 | 2004 | 38 | |
| 7 | 2014 | 35 | |
| 8 | 2020 | 31 | |
| 9 | 2021 | 24 | |
| 10 | 2022 | 23 | |
| 11 | 2023 | 19 | |
| 12 | 2005 | 19 | |
| 13 | 2022 | 19 | |
| 14 | 2022 | 18 | |
| 15 | 2008 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2020 | 11 | |
| 19 | 2023 | 10 | |
| 20 | 2022 | 9 |
About Troy Dumenil
Troy Dumenil is a scholar working on Infectious Diseases, Molecular Biology, Oncology, Pathology and Forensic Medicine and Neurology, having authored 28 papers that have together received 648 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (7 papers), COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Colorectal Cancer Treatments and Studies (4 papers), Long-Term Effects of COVID-19 (4 papers), Viral Infections and Vectors (4 papers), Mosquito-borne diseases and control (4 papers) and Cutaneous Melanoma Detection and Management (3 papers). The work is most often cited by research in Biological Psychiatry (26 citations), Behavioral Neuroscience (27 citations), Infectious Diseases (128 citations), Pollution (65 citations) and Pathology and Forensic Medicine (99 citations). Troy Dumenil has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Grant W. Montgomery, Kexin Yan, Andreas Suhrbier, Daniel J. Rawle, Nicholas G. Martin, Michael R. James, Bing Tang, Cameron Bishop, Barbara Leggett and Vicki Whitehall. Their work appears in journals such as Journal of Investigative Dermatology, PLoS Pathogens, Journal of Gastroenterology and Hepatology, Virus Evolution and The Science of The Total Environment.
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.