Puja Garg

19 papers and 356 indexed citations i.

About

Puja Garg is a scholar working on Surgery, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Puja Garg has authored 19 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Puja Garg’s work include Peripheral Artery Disease Management (3 papers), Cannabis and Cannabinoid Research (3 papers) and Pancreatic Islet Dysfunction and Regeneration (2 papers). Puja Garg is often cited by papers focused on Peripheral Artery Disease Management (3 papers), Cannabis and Cannabinoid Research (3 papers) and Pancreatic Islet Dysfunction and Regeneration (2 papers). Puja Garg collaborates with scholars based in United States, India and United Kingdom. Puja Garg's co-authors include Madhur Ray, Preeti Dohare, Peter Koulen, R. Scott Duncan, Simon Kaja, Chandishwar Nath, Uma Sharma, Vikas Jain, N. R. Jagannathan and Mohammad Imran Siddiqi and has published in prestigious journals such as Neuroscience, The American Journal of Cardiology and Science Translational Medicine.

In The Last Decade

Co-authorship network of co-authors of Puja Garg i

Fields of papers citing papers by Puja Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Puja Garg

Since Specialization
Citations

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