Prateek Pandya

66 total papers · 869 total citations
37 papers, 721 citations indexed

About

Prateek Pandya is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Prateek Pandya has authored 37 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Prateek Pandya's work include Protein Interaction Studies and Fluorescence Analysis (14 papers), DNA and Nucleic Acid Chemistry (10 papers) and Synthesis and bioactivity of alkaloids (6 papers). Prateek Pandya is often cited by papers focused on Protein Interaction Studies and Fluorescence Analysis (14 papers), DNA and Nucleic Acid Chemistry (10 papers) and Synthesis and bioactivity of alkaloids (6 papers). Prateek Pandya collaborates with scholars based in India, Saudi Arabia and United Arab Emirates. Prateek Pandya's co-authors include Md. Maidul Islam, Surat Kumar, Gopinatha Suresh Kumar, Neelima Gupta, Abdulla Al Masum, Subrata Mukhopadhyay, Sarita Sarkar, B. Jayaram, Harun Al Rasid Gazi and Kakali Bhadra and has published in prestigious journals such as PLoS ONE, The Journal of Physical Chemistry B and Biochemical and Biophysical Research Communications.

In The Last Decade

Prateek Pandya

33 papers receiving 712 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Prateek Pandya	512	209	184	65	56	37	721
Babu Sudhamalla	600 1.2×	229 1.1×	132 0.7×	55 0.8×	52 0.9×	32	766
Song‐Bo Kou	525 1.0×	273 1.3×	136 0.7×	38 0.6×	40 0.7×	22	678
Shevin Rizal Feroz	545 1.1×	293 1.4×	116 0.6×	62 1.0×	39 0.7×	27	679
S. Diamantoglou	505 1.0×	208 1.0×	170 0.9×	50 0.8×	30 0.5×	17	720
Jhimli Bhattacharyya	378 0.7×	171 0.8×	237 1.3×	58 0.9×	46 0.8×	40	810
Yan‐Yue Lou	657 1.3×	427 2.0×	199 1.1×	68 1.0×	44 0.8×	19	821
Zhen‐Yi Lin	457 0.9×	237 1.1×	122 0.7×	31 0.5×	33 0.6×	26	637
Mohammad Reza Ashrafi-Kooshk	513 1.0×	195 0.9×	131 0.7×	71 1.1×	20 0.4×	34	740
Upendra Kumar Singh	500 1.0×	148 0.7×	313 1.7×	36 0.6×	51 0.9×	19	831
Anders Buur	288 0.6×	224 1.1×	179 1.0×	82 1.3×	23 0.4×	36	829

Countries citing papers authored by Prateek Pandya

Since Specialization

Citations

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

Fields of papers citing papers by Prateek Pandya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prateek Pandya

This figure shows the co-authorship network connecting the top 25 collaborators of Prateek Pandya. A scholar is included among the top collaborators of Prateek Pandya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prateek Pandya. Prateek Pandya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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