Prashant M. Bapat

21 total papers · 527 total citations
20 papers, 441 citations indexed

About

Prashant M. Bapat is a scholar working on Molecular Biology, Biotechnology and Pharmacology. According to data from OpenAlex, Prashant M. Bapat has authored 20 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Biotechnology and 3 papers in Pharmacology. Recurrent topics in Prashant M. Bapat's work include Microbial Metabolic Engineering and Bioproduction (7 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Enzyme Production and Characterization (3 papers). Prashant M. Bapat is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (7 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Enzyme Production and Characterization (3 papers). Prashant M. Bapat collaborates with scholars based in India, Denmark and Singapore. Prashant M. Bapat's co-authors include Pramod P. Wangikar, K. V. Venkatesh, Sujata Vijay Sohoni, Anna Eliasson Lantz, Debasish Das, Sharad Bhartiya, Rajagopalan Srinivasan, Bertolt Gust, Lutz Heide and Gianni Panagiotou and has published in prestigious journals such as FEBS Letters, Applied Microbiology and Biotechnology and AIChE Journal.

In The Last Decade

Prashant M. Bapat

20 papers receiving 428 citations

Author Peers

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

Author						Papers	Cites
Prashant M. Bapat	259	82	81	57	44	20	441
Vignesh Rajamanickam	277 1.1×	68 0.8×	132 1.6×	89 1.6×	33 0.8×	19	440
Anders Brundin	253 1.0×	17 0.2×	110 1.4×	44 0.8×	42 1.0×	20	479
Xianpu Ni	314 1.2×	165 2.0×	62 0.8×	50 0.9×	40 0.9×	21	433
Wan-Cang Liu	288 1.1×	98 1.2×	66 0.8×	81 1.4×	11 0.3×	18	412
Alfred Fernández‐Castané	320 1.2×	20 0.2×	100 1.2×	29 0.5×	58 1.3×	31	467
Song Jiao	330 1.3×	20 0.2×	113 1.4×	67 1.2×	59 1.3×	17	473
Christina Mack	329 1.3×	25 0.3×	70 0.9×	21 0.4×	103 2.3×	19	404
Simon Boecker	330 1.3×	130 1.6×	92 1.1×	48 0.8×	27 0.6×	16	410
Asaichiro Ozaki	268 1.0×	67 0.8×	74 0.9×	30 0.5×	19 0.4×	29	399
Rutger D. Douma	295 1.1×	78 1.0×	88 1.1×	16 0.3×	15 0.3×	12	368

Countries citing papers authored by Prashant M. Bapat

Since Specialization

Citations

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

Fields of papers citing papers by Prashant M. Bapat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prashant M. Bapat. 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 Prashant M. Bapat. The network helps show where Prashant M. Bapat may publish in the future.

Co-authorship network of co-authors of Prashant M. Bapat

This figure shows the co-authorship network connecting the top 25 collaborators of Prashant M. Bapat. A scholar is included among the top collaborators of Prashant M. Bapat 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 Prashant M. Bapat. Prashant M. Bapat 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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