Sourav Thakur

1.3k total citations · 1 hit paper
10 papers, 961 citations indexed

About

Sourav Thakur is a scholar working on Molecular Biology, Pharmaceutical Science and Computational Theory and Mathematics. According to data from OpenAlex, Sourav Thakur has authored 10 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Pharmaceutical Science and 2 papers in Computational Theory and Mathematics. Recurrent topics in Sourav Thakur's work include Carbon and Quantum Dots Applications (2 papers), Computational Drug Discovery Methods (2 papers) and Dendrimers and Hyperbranched Polymers (2 papers). Sourav Thakur is often cited by papers focused on Carbon and Quantum Dots Applications (2 papers), Computational Drug Discovery Methods (2 papers) and Dendrimers and Hyperbranched Polymers (2 papers). Sourav Thakur collaborates with scholars based in India, South Africa and Malaysia. Sourav Thakur's co-authors include Vijay Mishra, Akshay Patil, Jessica M. Rosenholm, Kalvatala Sudhakar, Nishika Yadav, Kuldeep K. Bansal, Prashant Kesharwani, Anshuman Shukla, Amanjot Kaur and Bhupinder Kapoor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Drug Discovery Today and Biomedicine & Pharmacotherapy.

In The Last Decade

Sourav Thakur

10 papers receiving 936 citations

Hit Papers

Solid Lipid Nanoparticles: Emerging Colloidal Nano Drug D... 2018 2026 2020 2023 2018 100 200 300 400

Peers

Sourav Thakur
Comparison fields: 5 of 118
  • Pharmaceutical Science 336
  • Molecular Biology 295
  • Materials Chemistry 195
  • Biomaterials 183
  • Biomedical Engineering 180
Replace Subramanian Natesan with:
Subramanian Natesan India
Vaskuri G. S. Sainaga Jyothi India
Fiqe Khan United Kingdom
Rudra Pangeni South Korea
Naveen Chella India
Parameswara Rao Vuddanda India
Neelam Poonia India
Ehab I. Taha Saudi Arabia
Zongning Yin China
Sameer Nadaf India
Subramanian Natesan India View profile →
Citations per field, relative to Sourav Thakur
Sourav Thakur · 1×
Citations per year, relative to Sourav Thakur
Sourav Thakur · 1×

Countries citing papers authored by Sourav Thakur

Since Specialization
Citations

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

Fields of papers citing papers by Sourav Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sourav Thakur

This figure shows the co-authorship network connecting the top 25 collaborators of Sourav Thakur. A scholar is included among the top collaborators of Sourav Thakur 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 Sourav Thakur. Sourav Thakur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 1
2 14
3 4
4 13
5 126
6 167
7
Solid Lipid Nanoparticles: Emerging Colloidal Nano Drug Delivery Systems breakdown →
459
8 13
9 32
10 132

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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2026