Sunil Laxman

51 papers and 1.3k indexed citations i.

About

Sunil Laxman is a scholar working on Molecular Biology, Epidemiology and Biochemistry. According to data from OpenAlex, Sunil Laxman has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 9 papers in Epidemiology and 5 papers in Biochemistry. Recurrent topics in Sunil Laxman’s work include Fungal and yeast genetics research (13 papers), Polyamine Metabolism and Applications (9 papers) and RNA modifications and cancer (7 papers). Sunil Laxman is often cited by papers focused on Fungal and yeast genetics research (13 papers), Polyamine Metabolism and Applications (9 papers) and RNA modifications and cancer (7 papers). Sunil Laxman collaborates with scholars based in India, United States and Venezuela. Sunil Laxman's co-authors include Benjamin P. Tu, Benjamin M. Sutter, Xi Wu, Joseph A. Beavo, David C. Trudgian, Xiaofeng Guo, Hamid Mirzaei, Sujai Kumar, Jyotsna Dhawan and Martin Sadı́lek and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Sunil Laxman i

Fields of papers citing papers by Sunil Laxman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sunil Laxman

Since Specialization
Citations

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