Sriram Machineni

14 papers and 1.2k indexed citations i.

About

Sriram Machineni is a scholar working on Surgery, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Sriram Machineni has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 5 papers in Physiology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Sriram Machineni’s work include Bariatric Surgery and Outcomes (7 papers), Diabetes Treatment and Management (4 papers) and Pharmacology and Obesity Treatment (4 papers). Sriram Machineni is often cited by papers focused on Bariatric Surgery and Outcomes (7 papers), Diabetes Treatment and Management (4 papers) and Pharmacology and Obesity Treatment (4 papers). Sriram Machineni collaborates with scholars based in United States, Ireland and Denmark. Sriram Machineni's co-authors include Lee M. Kaplan, Peter J. Turnbaugh, Alice P. Liou, Robert F. Kushner, Blanca Oliván, Mousumi Bose, Blandine Laferrère, Nadia N. Ahmad, Ariana M. Chao and Shuyu Zhang and has published in prestigious journals such as Nature Medicine, Diabetes Care and Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Sriram Machineni i

Fields of papers citing papers by Sriram Machineni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sriram Machineni

Since Specialization
Citations

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