Sushma Dahal

40 papers and 452 indexed citations i.

About

Sushma Dahal is a scholar working on Modeling and Simulation, Infectious Diseases and Economics and Econometrics. According to data from OpenAlex, Sushma Dahal has authored 40 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Modeling and Simulation, 9 papers in Infectious Diseases and 8 papers in Economics and Econometrics. Recurrent topics in Sushma Dahal’s work include COVID-19 epidemiological studies (16 papers), Climate Change and Health Impacts (7 papers) and Influenza Virus Research Studies (5 papers). Sushma Dahal is often cited by papers focused on COVID-19 epidemiological studies (16 papers), Climate Change and Health Impacts (7 papers) and Influenza Virus Research Studies (5 papers). Sushma Dahal collaborates with scholars based in United States, Nepal and Japan. Sushma Dahal's co-authors include Gerardo Chowell, Kenji Mizumoto, Cécile Viboud, Amna Tariq, Ruiyan Luo, Lone Simonsen, Bruce Pell, Alexandra Smirnova, Seyed M. Moghadas and Monica H. Swahn and has published in prestigious journals such as PLoS ONE, American Journal of Epidemiology and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Sushma Dahal i

Fields of papers citing papers by Sushma Dahal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sushma Dahal. 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 Sushma Dahal. The network helps show where Sushma Dahal may publish in the future.

Countries citing papers authored by Sushma Dahal

Since Specialization
Citations

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

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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2025