Arabind Panda

25 papers and 539 indexed citations i.

About

Arabind Panda is a scholar working on Surgery, Urology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Arabind Panda has authored 25 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 12 papers in Urology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Arabind Panda’s work include Urological Disorders and Treatments (8 papers), Urologic and reproductive health conditions (4 papers) and Kidney Stones and Urolithiasis Treatments (4 papers). Arabind Panda is often cited by papers focused on Urological Disorders and Treatments (8 papers), Urologic and reproductive health conditions (4 papers) and Kidney Stones and Urolithiasis Treatments (4 papers). Arabind Panda collaborates with scholars based in India, United States and South Korea. Arabind Panda's co-authors include Sayantan Mukherjee, Santosh Kumar Nayak, Purna Chandra Mishra, Nitin Kekre, Vivek Venkatramani, Smita Pattanaik, Ravimohan S. Mavuduru, Joseph L. Mathew, Shrawan Kumar Singh and Mayank Mohan Agarwal and has published in prestigious journals such as Cochrane library, The Journal of Urology and BJU International.

In The Last Decade

Co-authorship network of co-authors of Arabind Panda i

Fields of papers citing papers by Arabind Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arabind Panda

Since Specialization
Citations

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