Surajit Nayak

17 papers and 326 indexed citations i.

About

Surajit Nayak is a scholar working on Genetics, Surgery and Dermatology. According to data from OpenAlex, Surajit Nayak has authored 17 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Surgery and 4 papers in Dermatology. Recurrent topics in Surajit Nayak’s work include Genetic and rare skin diseases. (4 papers), Dermatological and Skeletal Disorders (3 papers) and Leprosy Research and Treatment (2 papers). Surajit Nayak is often cited by papers focused on Genetic and rare skin diseases. (4 papers), Dermatological and Skeletal Disorders (3 papers) and Leprosy Research and Treatment (2 papers). Surajit Nayak collaborates with scholars based in India and United States. Surajit Nayak's co-authors include Basanti Acharjya and Debi Prasad Mishra and has published in prestigious journals such as Leprosy Review, Indian Journal of Psychiatry and Indian Journal of Dermatology Venereology and Leprology.

In The Last Decade

Co-authorship network of co-authors of Surajit Nayak i

Fields of papers citing papers by Surajit Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Surajit Nayak

Since Specialization
Citations

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