Sequoia Iris Leuba
Impact in
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- HIV/AIDS Research and Interventions
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- HIV/AIDS Research and Interventions 9
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- COVID-19 epidemiological studies 4
- Co-authors
- Hong Shang (7 shared papers)Wenqing Geng (7 shared papers)Yongjun Jiang (7 shared papers)Jing Zhang (6 shared papers)Zhenxing Chu (7 shared papers)Junjie Xu (8 shared papers)Christoph Zimmer (3 shared papers)Ted Cohen (3 shared papers)
- Journals
- Frontiers in Medicine (2 papers)AIDS and Behavior (2 papers)Journal of Medical Internet Research (2 papers)BMC Public Health (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Sequoia Iris Leuba
23 papers receiving 356 citations
Peers
Comparison fields: 5 of 60
- Infectious Diseases 128
- Modeling and Simulation 23
- Microbiology 25
- Microbiology 3
- Ecology 100
Countries citing papers authored by Sequoia Iris Leuba
This map shows the geographic impact of Sequoia Iris Leuba'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 Sequoia Iris Leuba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sequoia Iris Leuba more than expected).
Fields of papers citing papers by Sequoia Iris Leuba
This network shows the impact of papers produced by Sequoia Iris Leuba. 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 Sequoia Iris Leuba. The network helps show where Sequoia Iris Leuba may publish in the future.
Co-authors
The 25 scholars most cited alongside Sequoia Iris Leuba, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 119 | |
| 2 | 2018 | 30 | |
| 3 | 2019 | 28 | |
| 4 | 2019 | 19 | |
| 5 | 2021 | 18 | |
| 6 | 2021 | 14 | |
| 7 | 2019 | 14 | |
| 8 | 2018 | 14 | |
| 9 | 2019 | 14 | |
| 10 | 2020 | 12 | |
| 11 | 2024 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2021 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2025 | 2 |
About Sequoia Iris Leuba
Sequoia Iris Leuba is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Virology and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 361 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (9 papers), COVID-19 epidemiological studies (4 papers), Malaria Research and Control (3 papers), Data-Driven Disease Surveillance (3 papers), Influenza Virus Research Studies (3 papers), HIV, Drug Use, Sexual Risk (2 papers), Respiratory viral infections research (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Infectious Diseases (128 citations), Modeling and Simulation (23 citations), Microbiology (25 citations), Microbiology (3 citations) and Ecology (100 citations). Sequoia Iris Leuba has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Hong Shang, Wenqing Geng, Yongjun Jiang, Jing Zhang, Zhenxing Chu, Junjie Xu, Christoph Zimmer, Ted Cohen, Reza Yaesoubi and Hongyi Wang. Their work appears in journals such as Frontiers in Medicine, AIDS and Behavior, Journal of Medical Internet Research, BMC Public Health and PLoS ONE.
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.