Kabita Das

9 papers and 272 indexed citations i.

About

Kabita Das is a scholar working on Modeling and Simulation, Infectious Diseases and Global and Planetary Change. According to data from OpenAlex, Kabita Das has authored 9 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Modeling and Simulation, 4 papers in Infectious Diseases and 2 papers in Global and Planetary Change. Recurrent topics in Kabita Das’s work include COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Pandemic Impacts (2 papers). Kabita Das is often cited by papers focused on COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Pandemic Impacts (2 papers). Kabita Das collaborates with scholars based in India, Mexico and United States. Kabita Das's co-authors include Biswaranjan Paital, S K Parida, Samendra P. Sherchan, Marjan Hashemi, Sintu Kumar Samanta, Işık Kabdaşlı, Miguel A. Sandoval, Milad Mousazadeh, Zacharias Frontistis and Anirudh Singh and has published in prestigious journals such as The Science of The Total Environment, Environmental Science and Pollution Research and Advances in experimental medicine and biology.

In The Last Decade

Co-authorship network of co-authors of Kabita Das i

Fields of papers citing papers by Kabita Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kabita Das

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025