Nikunj Mehta

6 papers and 51 indexed citations i.

About

Nikunj Mehta is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Nikunj Mehta has authored 6 papers receiving a total of 51 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Nikunj Mehta’s work include Advanced Software Engineering Methodologies (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Cellular transport and secretion (2 papers). Nikunj Mehta is often cited by papers focused on Advanced Software Engineering Methodologies (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Cellular transport and secretion (2 papers). Nikunj Mehta collaborates with scholars based in United States, India and China. Nikunj Mehta's co-authors include Nenad Medvidović, Sam Malek, Madhulika Dixit, Marija Mikic-Rakic, N. Manoj, M. Michael Gromiha, Thiagarajan Raman, Manikandan Ramar, Sayantan Mondal and Qiang Cui and has published in prestigious journals such as Nature Communications, Journal of Cell Science and Biochimica et Biophysica Acta (BBA) - General Subjects.

In The Last Decade

Co-authorship network of co-authors of Nikunj Mehta i

Fields of papers citing papers by Nikunj Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nikunj Mehta

Since Specialization
Citations

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