Sucheta Telang

52 papers and 2.8k indexed citations i.

About

Sucheta Telang is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Sucheta Telang has authored 52 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cancer Research, 31 papers in Molecular Biology and 27 papers in Oncology. Recurrent topics in Sucheta Telang’s work include Cancer, Hypoxia, and Metabolism (31 papers), Cancer-related Molecular Pathways (19 papers) and Metabolism, Diabetes, and Cancer (13 papers). Sucheta Telang is often cited by papers focused on Cancer, Hypoxia, and Metabolism (31 papers), Cancer-related Molecular Pathways (19 papers) and Metabolism, Diabetes, and Cancer (13 papers). Sucheta Telang collaborates with scholars based in United States, Spain and India. Sucheta Telang's co-authors include Jason Chesney, Brian F. Clem, Amy Clem, Abdullah Yalçın, Andrew N. Lane, Sengodagounder Arumugam, John W. Eaton, John O. Trent, Yoannis Imbert-Fernandez and Kristin K. Nelson and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Co-authorship network of co-authors of Sucheta Telang i

Fields of papers citing papers by Sucheta Telang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sucheta Telang

Since Specialization
Citations

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