Kumar Saurav

70 papers receiving 1.3k citations

Peers

Kumar Saurav
Comparison fields: 5 of 134
  • Biotechnology 273
  • Pharmacology 323
  • Molecular Medicine 46
  • Applied Microbiology and Biotechnology 16
  • Industrial and Manufacturing Engineering 78
Replace Abhishek Chauhan with:
Abhishek Chauhan India
Dennis G. Watson United States
Hyun Jung Kim South Korea
Ka‐Yiu San United States
Guoqing He China
Satyendra Gautam India
Dalal Asker Egypt
Luca Maria Chiesa Italy
Mohammad Rashedul Haque Bangladesh
Qian Wu China
Kumar Saurav relative to Abhishek Chauhan India Abhishek Chauhan's profile →
Citations per field
00.5×2×3.0×
Abhishek Chauhan · 1×
Citations per year

Countries citing papers authored by Kumar Saurav

Since Specialization
Citations

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

Fields of papers citing papers by Kumar Saurav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kumar Saurav, 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 Kumar Saurav Line = papers co-authored together Kumar Saurav links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020122
2 202086
3 201777
4 201170
5 201665
6 201362
7 202260
8 202344
9 201841
10 201140
11 201138
12
Diversity and Optimization of process parameters for the growth of Streptomyces VITSVK9 spp. isolated from Bay of Bengal, India
201037
13 201636
14 201733
15 202032
16 201130
17 201126
18 201825
19 201624
20 201524

About Kumar Saurav

Kumar Saurav is a scholar working on Molecular Biology, Pharmacology, Electrical and Electronic Engineering, Organic Chemistry and Biotechnology, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (18 papers), Photonic and Optical Devices (11 papers), Marine Sponges and Natural Products (9 papers), Bacterial biofilms and quorum sensing (6 papers), Microbial Community Ecology and Physiology (6 papers), Neural Networks and Reservoir Computing (5 papers), Carbon and Quantum Dots Applications (4 papers) and Adsorption and biosorption for pollutant removal (4 papers). The work is most often cited by research in Biotechnology (273 citations), Pharmacology (323 citations), Molecular Medicine (46 citations), Applied Microbiology and Biotechnology (16 citations) and Industrial and Manufacturing Engineering (78 citations). Kumar Saurav has collaborated with scholars based in India, Czechia and Israel. Frequent co-authors include Кришнан Каннабиран, Laura Steindler, Valeria Costantino, Daniela Ewe, Pavel Hrouzek, Subhasish Saha, Vittorio Venturi, Irshad Ahmad Ansari, Chang Wook Ahn and Manoj Singh. Their work appears in journals such as Marine Drugs, Molecules, Applied and Environmental Microbiology, Frontiers in Microbiology and Journal of Lightwave Technology.

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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