Kamal Raj Pardasani

89 papers and 1.6k indexed citations i.

About

Kamal Raj Pardasani is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kamal Raj Pardasani has authored 89 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 20 papers in Physiology and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kamal Raj Pardasani’s work include Machine Learning in Bioinformatics (16 papers), Neuroscience and Neuropharmacology Research (13 papers) and Infrared Thermography in Medicine (12 papers). Kamal Raj Pardasani is often cited by papers focused on Machine Learning in Bioinformatics (16 papers), Neuroscience and Neuropharmacology Research (13 papers) and Infrared Thermography in Medicine (12 papers). Kamal Raj Pardasani collaborates with scholars based in India, United States and Saudi Arabia. Kamal Raj Pardasani's co-authors include Arunodaya Raj Mishra, Pratibha Rani, Parvaiz Ahmad Naik, Abbas Mardani, Dalia Štreimikienė, Huchang Liao, Neeru Adlakha, Somdutt Mujwar, James Sneyd and Melfi Alrasheedi and has published in prestigious journals such as Journal of Cleaner Production, Journal of Biomechanics and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Kamal Raj Pardasani i

Fields of papers citing papers by Kamal Raj Pardasani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kamal Raj Pardasani. 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 Kamal Raj Pardasani. The network helps show where Kamal Raj Pardasani may publish in the future.

Countries citing papers authored by Kamal Raj Pardasani

Since Specialization
Citations

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