Arpita Baisantry

11 papers and 404 indexed citations i.

About

Arpita Baisantry is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Arpita Baisantry has authored 11 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Arpita Baisantry’s work include Telomeres, Telomerase, and Senescence (4 papers), Autophagy in Disease and Therapy (4 papers) and Advanced Glycation End Products research (3 papers). Arpita Baisantry is often cited by papers focused on Telomeres, Telomerase, and Senescence (4 papers), Autophagy in Disease and Therapy (4 papers) and Advanced Glycation End Products research (3 papers). Arpita Baisantry collaborates with scholars based in Germany, United States and United Kingdom. Arpita Baisantry's co-authors include Roland Schmitt, Anette Melk, Hermann Haller, Inga Sörensen-Zender, Manuel Serrano, Bernhard M. W. Schmidt, Marie‐Luise Gross, Shijun Wang, Christoph Wrede and Jan Hegermann and has published in prestigious journals such as PLoS ONE, Journal of the American Society of Nephrology and Autophagy.

In The Last Decade

Co-authorship network of co-authors of Arpita Baisantry i

Fields of papers citing papers by Arpita Baisantry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arpita Baisantry

Since Specialization
Citations

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