Amit Kumar Dinda

131 papers and 2.9k indexed citations i.

About

Amit Kumar Dinda is a scholar working on Nephrology, Molecular Biology and Genetics. According to data from OpenAlex, Amit Kumar Dinda has authored 131 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Nephrology, 35 papers in Molecular Biology and 21 papers in Genetics. Recurrent topics in Amit Kumar Dinda’s work include Renal Diseases and Glomerulopathies (36 papers), Electrospun Nanofibers in Biomedical Applications (13 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (13 papers). Amit Kumar Dinda is often cited by papers focused on Renal Diseases and Glomerulopathies (36 papers), Electrospun Nanofibers in Biomedical Applications (13 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (13 papers). Amit Kumar Dinda collaborates with scholars based in India, United States and Taiwan. Amit Kumar Dinda's co-authors include Pravin D. Potdar, Narayan Chandra Mishra, Chia‐Fu Chou, Arvind Bagga, Pankaj Hari, Sneh Gautam, Chhavi Sharma, Aditi Sinha, Sanjay Kumar Agarwal and Ashima Gulati and has published in prestigious journals such as Journal of Biological Chemistry, Kidney International and Journal of the American Society of Nephrology.

In The Last Decade

Co-authorship network of co-authors of Amit Kumar Dinda i

Fields of papers citing papers by Amit Kumar Dinda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit Kumar Dinda. 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 Amit Kumar Dinda. The network helps show where Amit Kumar Dinda may publish in the future.

Countries citing papers authored by Amit Kumar Dinda

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025