Mayur Doke

35 papers and 326 indexed citations i.

About

Mayur Doke is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Mayur Doke has authored 35 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Oncology. Recurrent topics in Mayur Doke’s work include HIV Research and Treatment (5 papers), Estrogen and related hormone effects (5 papers) and Epigenetics and DNA Methylation (4 papers). Mayur Doke is often cited by papers focused on HIV Research and Treatment (5 papers), Estrogen and related hormone effects (5 papers) and Epigenetics and DNA Methylation (4 papers). Mayur Doke collaborates with scholars based in United States, India and Ecuador. Mayur Doke's co-authors include Thangavel Samikkannu, Kalaiselvi Sivalingam, Quentin Felty, Takafumi Arimoto, Hideo Kataoka, Hirobumi Morisaki, Hirotaka Kuwata, Jay P. McLaughlin, Hiromi Fukamachi and Venkatesh Jeganathan and has published in prestigious journals such as Nature Communications, PLoS ONE and Cell Metabolism.

In The Last Decade

Co-authorship network of co-authors of Mayur Doke i

Fields of papers citing papers by Mayur Doke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mayur Doke

Since Specialization
Citations

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