Prashant M. Bapat

532 citations
20 papers · 443 · h-index 14

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 5
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Fungal and yeast genetics research 2
    • RNA and protein synthesis mechanisms 2
    • Protein purification and stability 2

Prashant M. Bapat

20 papers receiving 431 citations

Peers

Prashant M. Bapat
Comparison fields: 5 of 91
  • Biotechnology 47
  • Pharmacology 77
  • Molecular Biology 241
  • Microbiology 2
  • Analytical Chemistry 22
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Prashant M. Bapat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Prashant M. Bapat Line = papers co-authored together Prashant M. Bapat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200564
2 200652
3 200942
4 201241
5 200433
6 200532
7 200730
8 200828
9 201319
10 200318
11 200717
12 200616
13 200614
14 200613
15 20129
16 20069
17 20112
18 20062
19
A universal fixation method based on quaternary ammonium salts (RNAlater) for omics-technologies: Saccharomyces cerevisiae as a case study Rudy G. E. van EijsdenCatherine StassenLuk DaenenSebastiaan E. Van Mulders • Prashant M. BapatVerena SiewersKatty V. Y. GoossensJens Nielsen • Freddy R. DelvauxPaul Van HummelenBart DevreeseRonnie G. Willaert
20131
20 20101

About Prashant M. Bapat

Prashant M. Bapat is a scholar working on Molecular Biology, Control and Systems Engineering, Genetics, Biotechnology and Food Science, having authored 20 papers that have together received 443 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (5 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Probiotics and Fermented Foods (3 papers), Bacterial Genetics and Biotechnology (3 papers), Vibrio bacteria research studies (2 papers), Fungal and yeast genetics research (2 papers), RNA and protein synthesis mechanisms (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Biotechnology (47 citations), Pharmacology (77 citations), Molecular Biology (241 citations), Microbiology (2 citations) and Analytical Chemistry (22 citations). Prashant M. Bapat has collaborated with scholars based in India, Denmark and Singapore. Frequent co-authors include Pramod P. Wangikar, K. V. Venkatesh, Anna Eliasson Lantz, Sujata Vijay Sohoni, Debasish Das, Sharad Bhartiya, Bertolt Gust, Lutz Heide, Rajagopalan Srinivasan and Thomas Grotkjær. Their work appears in journals such as Applied Microbiology and Biotechnology, Microbial Cell Factories, Journal of Biotechnology, Biotechnology and Bioengineering and AIChE Journal.

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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