V. Shanthi

80 papers receiving 589 citations

Peers

V. Shanthi
Comparison fields: 5 of 96
  • Computational Theory and Mathematics 150
  • Pollution 56
  • Infectious Diseases 78
  • Molecular Biology 280
  • Organic Chemistry 88
Replace Richard Lloyd with:
Richard Lloyd United Kingdom
Eleonora Nicolai Italy
Catherine Piveteau France
Eleanor W. W. Leung Australia
Nelson José Freitas da Silveira Brazil
Y. Yasutake Japan
Nicolas Willand France
Haizhong Zhu Canada
Cy V. Credille United States
Mark E. Snow United States
V. Shanthi relative to Richard Lloyd United Kingdom Richard Lloyd's profile →
Citations per field
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Citations per year

Countries citing papers authored by V. Shanthi

Since Specialization
Citations

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

Fields of papers citing papers by V. Shanthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Biodegradation of Plastics - A Brief Review
201556
2 201930
3 201226
4 200222
5 201918
6 201317
7 201216
8 201716
9 201715
10 201615
11 201514
12 201714
13 201814
14 201712
15 201912
16 200912
17 201511
18 202211
19 202311
20 201711

About V. Shanthi

V. Shanthi is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pulmonary and Respiratory Medicine and Epidemiology, having authored 86 papers that have together received 594 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (32 papers), Cancer therapeutics and mechanisms (17 papers), Protein Structure and Dynamics (15 papers), Enzyme Structure and Function (11 papers), Synthesis and biological activity (10 papers), Lung Cancer Treatments and Mutations (10 papers), Influenza Virus Research Studies (7 papers) and Antibiotic Resistance in Bacteria (6 papers). The work is most often cited by research in Computational Theory and Mathematics (150 citations), Pollution (56 citations), Infectious Diseases (78 citations), Molecular Biology (280 citations) and Organic Chemistry (88 citations). V. Shanthi has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include K. Ramanathan, Priyanka Ramesh, R. Rajasekaran, Rohini Karunakaran, Karthick Vasudevan, Rao Sethumadhavan, Woong‐Hee Shin, K. Sekar, Daisuke Kihara and A. Hussain. Their work appears in journals such as Applied Biochemistry and Biotechnology, Cell Biochemistry and Biophysics, Journal of Cellular Biochemistry, Journal of Biomolecular Structure and Dynamics and Biotechnology and Applied Biochemistry.

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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