Upasana Panda

10 papers and 117 indexed citations i.

About

Upasana Panda is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Upasana Panda has authored 10 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 7 papers in Health, Toxicology and Mutagenesis and 4 papers in Environmental Engineering. Recurrent topics in Upasana Panda’s work include Atmospheric chemistry and aerosols (8 papers), Air Quality and Health Impacts (7 papers) and Air Quality Monitoring and Forecasting (4 papers). Upasana Panda is often cited by papers focused on Atmospheric chemistry and aerosols (8 papers), Air Quality and Health Impacts (7 papers) and Air Quality Monitoring and Forecasting (4 papers). Upasana Panda collaborates with scholars based in India, United States and United Kingdom. Upasana Panda's co-authors include Trupti Das, Parth Sarathi Mahapatra, Sudhir Kumar Sharma, T. K. Mandal, Satyajit Rath, Sachin S. Gunthe, R. Boopathy, Harish Gadhavi, Mira L. Pöhlker and Hugh Coe and has published in prestigious journals such as Scientific Reports, Environmental Monitoring and Assessment and Natural Hazards.

In The Last Decade

Co-authorship network of co-authors of Upasana Panda i

Fields of papers citing papers by Upasana Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Upasana Panda

Since Specialization
Citations

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