Mamta Puppala

25 papers and 312 indexed citations i.

About

Mamta Puppala is a scholar working on Oncology, Artificial Intelligence and Surgery. According to data from OpenAlex, Mamta Puppala has authored 25 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Artificial Intelligence and 5 papers in Surgery. Recurrent topics in Mamta Puppala’s work include AI in cancer detection (4 papers), Global Cancer Incidence and Screening (4 papers) and Heart Failure Treatment and Management (2 papers). Mamta Puppala is often cited by papers focused on AI in cancer detection (4 papers), Global Cancer Incidence and Screening (4 papers) and Heart Failure Treatment and Management (2 papers). Mamta Puppala collaborates with scholars based in United States, Taiwan and China. Mamta Puppala's co-authors include Stephen T.C. Wong, Tiancheng He, Jenny C. Chang, Xiaohui Yu, Joe Ensor, Tejal Patel, Charles E. Geyer, Robert A. Phillips, Roberta Schwartz and Eva Zsigmond and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Gastroenterology.

In The Last Decade

Co-authorship network of co-authors of Mamta Puppala i

Fields of papers citing papers by Mamta Puppala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mamta Puppala

Since Specialization
Citations

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