Binod Sah
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
-
- Vibrio bacteria research studies 10
-
- COVID-19 epidemiological studies 6
- Co-authors
- Young Ae You (9 shared papers)Mohammad Ali (9 shared papers)Anna Lena Lopez (8 shared papers)John D. Clemens (8 shared papers)Brian Maskery (5 shared papers)Young‐Eun Kim (3 shared papers)Jose A. Suaya (3 shared papers)Donald S. Shepard (3 shared papers)
- Journals
- Bulletin of the World Health Organization (4 papers)PLoS ONE (3 papers)American Journal of Tropical Medicine and Hygiene (3 papers)PLoS neglected tropical diseases (2 papers)Clinical Infectious Diseases (1 paper)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Binod Sah
15 papers receiving 912 citations
Peers
Comparison fields: 5 of 97
- Endocrinology 462
- Modeling and Simulation 205
- Public Health, Environmental and Occupational Health 404
- Health 115
- Infectious Diseases 243
Countries citing papers authored by Binod Sah
This map shows the geographic impact of Binod Sah'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 Binod Sah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binod Sah more than expected).
Fields of papers citing papers by Binod Sah
This network shows the impact of papers produced by Binod Sah. 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 Binod Sah. The network helps show where Binod Sah may publish in the future.
Co-authors
The 25 scholars most cited alongside Binod Sah, 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 | 2012 | 337 | |
| 2 | 2009 | 272 | |
| 3 | 2008 | 73 | |
| 4 | 2013 | 57 | |
| 5 | 2014 | 54 | |
| 6 | 2008 | 50 | |
| 7 | 2015 | 40 | |
| 8 | 2013 | 32 | |
| 9 | 2010 | 24 | |
| 10 | 2015 | 15 | |
| 11 | 2014 | 10 | |
| 12 | 2019 | 4 | |
| 13 | 2012 | 1 | |
| 14 | The Global Burden of Cholera/ le Fardeau Mondial Du Cholera/ la Carga Global del Colera | 2012 | 1 |
| 15 | 2013 | 1 |
About Binod Sah
Binod Sah is a scholar working on Endocrinology, Modeling and Simulation, Epidemiology, Health and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 971 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (10 papers), COVID-19 epidemiological studies (6 papers), Influenza Virus Research Studies (3 papers), Vaccine Coverage and Hesitancy (3 papers), Mosquito-borne diseases and control (3 papers), Malaria Research and Control (2 papers), Dengue and Mosquito Control Research (1 paper) and Child Nutrition and Water Access (1 paper). The work is most often cited by research in Endocrinology (462 citations), Modeling and Simulation (205 citations), Public Health, Environmental and Occupational Health (404 citations), Health (115 citations) and Infectious Diseases (243 citations). Binod Sah has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Young Ae You, Mohammad Ali, Anna Lena Lopez, John D. Clemens, Brian Maskery, Young‐Eun Kim, Jose A. Suaya, Donald S. Shepard, Lian Tan and Lucy Chai See Lum. Their work appears in journals such as Bulletin of the World Health Organization, PLoS ONE, American Journal of Tropical Medicine and Hygiene, PLoS neglected tropical diseases and Clinical Infectious Diseases.
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.