Mamta Thakur

99 total papers · 852 total citations
53 papers, 567 citations indexed

About

Mamta Thakur is a scholar working on Computational Theory and Mathematics, Plant Science and Organic Chemistry. According to data from OpenAlex, Mamta Thakur has authored 53 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 15 papers in Plant Science and 13 papers in Organic Chemistry. Recurrent topics in Mamta Thakur's work include Computational Drug Discovery Methods (15 papers), Fungal Biology and Applications (11 papers) and Free Radicals and Antioxidants (6 papers). Mamta Thakur is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Fungal Biology and Applications (11 papers) and Free Radicals and Antioxidants (6 papers). Mamta Thakur collaborates with scholars based in India, United States and Italy. Mamta Thakur's co-authors include M. K. Pradhan, Vimal K. Shrivastava, Sonajharia Minz, Padmakar V. Khadikar, Claudiu T. Supuran, K. Balasubramanian, Alexandrù T. Balaban, Alok Agarwal, Syed Mahmood Haider and Ashok K. Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry.

In The Last Decade

Mamta Thakur

46 papers receiving 503 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mamta Thakur 238 125 120 117 98 53 567
Bünyamin Demır 148 0.6× 165 1.3× 14 0.1× 29 0.2× 69 0.7× 64 592
Paul W. Elsinghorst 143 0.6× 151 1.2× 210 1.8× 112 1.0× 176 1.8× 39 678
Edyta M. Grzelak 109 0.5× 98 0.8× 129 1.1× 53 0.5× 237 2.4× 21 680
Khattab Al-Khafaji 63 0.3× 125 1.0× 56 0.5× 206 1.8× 259 2.6× 32 636
Fávero Reisdorfer Paula 91 0.4× 199 1.6× 49 0.4× 40 0.3× 131 1.3× 45 593
Enrique Molina 27 0.1× 166 1.3× 58 0.5× 369 3.2× 244 2.5× 26 593
Claude Viel 136 0.6× 127 1.0× 132 1.1× 20 0.2× 225 2.3× 86 685
Yueying Ren 173 0.7× 81 0.6× 33 0.3× 117 1.0× 230 2.3× 26 561
Alan César Pilon 146 0.6× 32 0.3× 109 0.9× 98 0.8× 296 3.0× 35 548
Mingjun Yang 205 0.9× 84 0.7× 116 1.0× 18 0.2× 157 1.6× 27 549

Countries citing papers authored by Mamta Thakur

Since Specialization
Citations

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

Fields of papers citing papers by Mamta Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamta Thakur

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

All Works

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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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