Suneet Agarwal

57 papers and 10.2k indexed citations i.

About

Suneet Agarwal is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Suneet Agarwal has authored 57 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 28 papers in Physiology and 8 papers in Immunology. Recurrent topics in Suneet Agarwal’s work include Telomeres, Telomerase, and Senescence (27 papers), CRISPR and Genetic Engineering (12 papers) and Pluripotent Stem Cells Research (10 papers). Suneet Agarwal is often cited by papers focused on Telomeres, Telomerase, and Senescence (27 papers), CRISPR and Genetic Engineering (12 papers) and Pluripotent Stem Cells Research (10 papers). Suneet Agarwal collaborates with scholars based in United States, Italy and Türkiye. Suneet Agarwal's co-authors include Anjana Rao, Mamta Tahiliani, L. Aravind, Hozefa S. Bandukwala, Kian Peng Koh, William A. Pastor, Yevgeny Brudno, Lakshminarayan M. Iyer, Yinghua Shen and David R. Liu and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Suneet Agarwal i

Fields of papers citing papers by Suneet Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suneet Agarwal

Since Specialization
Citations

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