M.S. Thakur

3.4k citations
80 papers · 2.5k · h-index 30

Impact in

Papers in

M.S. Thakur

77 papers receiving 2.4k citations

Peers

M.S. Thakur
Comparison fields: 5 of 129
  • Electrochemistry 325
  • Bioengineering 208
  • Biotechnology 223
  • Biomedical Engineering 871
  • Molecular Biology 1.3k
Replace Krishna Bisetty with:
Krishna Bisetty South Africa
Ernest Šturdı́k Slovakia
Héctor Fernández Argentina
Rosanna Toniolo Italy
José Manuel Herrero‐Martínez Spain
Claude Jolivalt France
Evgeny N. Vulfson United Kingdom
Yukun Yang China
Julio Raba Argentina
M. Lúcia M.F.S. Saraiva Portugal
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Citations per field
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Citations per year

Countries citing papers authored by M.S. Thakur

Since Specialization
Citations

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

Fields of papers citing papers by M.S. Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012203
2 2015183
3 2013182
4 2004114
5 201397
6 201896
7 200295
8 200976
9 199071
10 200565
11 201763
12 200457
13 200952
14 200251
15 200443
16 201243
17 200042
18 200738
19 201237
20 200537

About M.S. Thakur

M.S. Thakur is a scholar working on Molecular Biology, Biomedical Engineering, Organic Chemistry, Electrical and Electronic Engineering and Biotechnology, having authored 80 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (17 papers), Electrochemical sensors and biosensors (16 papers), Biosensors and Analytical Detection (13 papers), Asymmetric Hydrogenation and Catalysis (9 papers), Analytical Chemistry and Sensors (8 papers), Enzyme Production and Characterization (6 papers), Advanced Chemical Sensor Technologies (6 papers) and Quinazolinone synthesis and applications (4 papers). The work is most often cited by research in Electrochemistry (325 citations), Bioengineering (208 citations), Biotechnology (223 citations), Biomedical Engineering (871 citations) and Molecular Biology (1.3k citations). M.S. Thakur has collaborated with scholars based in India, United States and China. Frequent co-authors include K.V. Ragavan, N. G. Karanth, Navin K. Rastogi, K.S.M.S. Raghavarao, M.D. Gouda, Mahadeo Kumar, Richa Sharma, Sanjukta Patra, Parveen Kumar and Onkar S. Nayal. Their work appears in journals such as Biosensors and Bioelectronics, Asian Journal of Organic Chemistry, Analytica Chimica Acta, Analytical Biochemistry and Enzyme and Microbial 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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