Nita Parekh

36 papers and 732 indexed citations i.

About

Nita Parekh is a scholar working on Molecular Biology, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Nita Parekh has authored 36 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Computer Networks and Communications and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Nita Parekh’s work include Nonlinear Dynamics and Pattern Formation (9 papers), Protein Structure and Dynamics (7 papers) and Bioinformatics and Genomic Networks (6 papers). Nita Parekh is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (9 papers), Protein Structure and Dynamics (7 papers) and Bioinformatics and Genomic Networks (6 papers). Nita Parekh collaborates with scholars based in India, Italy and Brazil. Nita Parekh's co-authors include Sanjay Puri, Somdatta Sinha, S. Parthasarathy, Debashish Chowdhury, V. Ravi Kumar, B. D. Kulkarni, Yash Agarwal, Sushanta Dattagupta, Ruchi Jain and Gaurav Sablok and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Nita Parekh i

Fields of papers citing papers by Nita Parekh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nita Parekh

Since Specialization
Citations

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