P. Nadkarni

21 papers and 686 indexed citations i.

About

P. Nadkarni is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, P. Nadkarni has authored 21 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in P. Nadkarni’s work include Biomedical Text Mining and Ontologies (10 papers), Semantic Web and Ontologies (8 papers) and Data Quality and Management (3 papers). P. Nadkarni is often cited by papers focused on Biomedical Text Mining and Ontologies (10 papers), Semantic Web and Ontologies (8 papers) and Data Quality and Management (3 papers). P. Nadkarni collaborates with scholars based in United States and Italy. P. Nadkarni's co-authors include Cynthia Brandt, Pradeep Mutalik, Runsheng Chen, Aniruddha M. Deshpande, Luis Marenco, Perry L. Miller, Gordon M. Shepherd, Emmanouil Skoufos, Christian Brandt and Frederick Sayward and has published in prestigious journals such as Bioinformatics, The Journal of Clinical Endocrinology & Metabolism and Human Reproduction.

In The Last Decade

Co-authorship network of co-authors of P. Nadkarni i

Fields of papers citing papers by P. Nadkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by P. Nadkarni

Since Specialization
Citations

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