Shuchi Nagar

630 total citations
23 papers, 478 citations indexed

About

Shuchi Nagar is a scholar working on Computational Theory and Mathematics, Genetics and Organic Chemistry. According to data from OpenAlex, Shuchi Nagar has authored 23 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 9 papers in Genetics and 8 papers in Organic Chemistry. Recurrent topics in Shuchi Nagar's work include Computational Drug Discovery Methods (15 papers), Estrogen and related hormone effects (9 papers) and Synthesis and biological activity (7 papers). Shuchi Nagar is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Estrogen and related hormone effects (9 papers) and Synthesis and biological activity (7 papers). Shuchi Nagar collaborates with scholars based in India, United States and Singapore. Shuchi Nagar's co-authors include Kiran Bharat Lokhande, K. Venkateswara Swamy, Dominique Robertson, Kevin M. Carrick, Linda Hanley‐Bowdoin, Thomas J. Pedersen, Sarika Pawar, Shatavari Kulshrestha, Swapnil Gaikwad and Neelu Nawani and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Plant Cell and Cancer Research.

In The Last Decade

Shuchi Nagar

22 papers receiving 468 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shuchi Nagar India 10 187 160 84 78 63 23 478
Ofentse Jacob Pooe South Africa 15 336 1.8× 80 0.5× 112 1.3× 104 1.3× 46 0.7× 53 688
René B. Khan South Africa 13 216 1.2× 75 0.5× 52 0.6× 61 0.8× 37 0.6× 43 467
Walid Sabri Hamadou Saudi Arabia 15 207 1.1× 76 0.5× 49 0.6× 94 1.2× 29 0.5× 35 573
Rosamaria Pennisi Italy 15 178 1.0× 87 0.5× 24 0.3× 60 0.8× 84 1.3× 37 639
José Rogério A. Silva Brazil 16 165 0.9× 53 0.3× 82 1.0× 125 1.6× 40 0.6× 45 549
Nanda Kumar Yellapu India 13 305 1.6× 41 0.3× 46 0.5× 85 1.1× 26 0.4× 58 498
Carel B. Oosthuizen South Africa 11 138 0.7× 105 0.7× 63 0.8× 41 0.5× 38 0.6× 20 477
Muzafar Ahmad Rather India 16 273 1.5× 85 0.5× 41 0.5× 163 2.1× 43 0.7× 37 780
Huansheng Gong Canada 10 381 2.0× 74 0.5× 26 0.3× 119 1.5× 77 1.2× 13 662
P. Anitha India 13 186 1.0× 72 0.5× 70 0.8× 30 0.4× 19 0.3× 30 417

Countries citing papers authored by Shuchi Nagar

Since Specialization
Citations

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

Fields of papers citing papers by Shuchi Nagar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuchi Nagar

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

All Works

20 of 20 papers shown
2.
Lokhande, Kiran Bharat, et al.. (2023). Exploring Potential Non-steroidal Aromatase Inhibitors for Therapeutic Application against Estrogen-dependent Breast Cancer. Current Computer - Aided Drug Design. 19(4). 243–257. 1 indexed citations
3.
Lokhande, Kiran Bharat, et al.. (2023). Pharmacoinformatics approach for the screening of Kovidra (Bauhinia variegata) phytoconstituents against tumor suppressor protein in triple negative breast cancer. Journal of Biomolecular Structure and Dynamics. 42(8). 4263–4282. 7 indexed citations
4.
Lokhande, Kiran Bharat, et al.. (2022). GC-MS profiling of Bauhinia variegata major phytoconstituents with computational identification of potential lead inhibitors of SARS-CoV-2 Mpro. Computers in Biology and Medicine. 147. 105679–105679. 12 indexed citations
5.
Lokhande, Kiran Bharat, et al.. (2022). Dual inhibition of cyclooxygenase-2 (COX-2) and 5-lipoxygenase (5-LOX) by resveratrol derivatives in cancer therapy: in silico approach. Journal of Biomolecular Structure and Dynamics. 41(17). 8571–8586. 11 indexed citations
6.
Lokhande, Kiran Bharat, et al.. (2021). In Silico Exploration of Phytoconstituents From Phyllanthus emblica and Aegle marmelos as Potential Therapeutics Against SARS-CoV-2 RdRp. Bioinformatics and Biology Insights. 15. 739592651–739592651. 13 indexed citations
7.
Shakya, Anshul, Rupesh V. Chikhale, Hans Raj Bhat, et al.. (2021). Pharmacoinformatics-based identification of transmembrane protease serine-2 inhibitors from Morus Alba as SARS-CoV-2 cell entry inhibitors. Molecular Diversity. 26(1). 265–278. 17 indexed citations
8.
Lokhande, Kiran Bharat, Payel Ghosh, Shuchi Nagar, & K. Venkateswara Swamy. (2021). Novel B, C-ring truncated deguelin derivatives reveals as potential inhibitors of cyclin D1 and cyclin E using molecular docking and molecular dynamic simulation. Molecular Diversity. 26(4). 2295–2309. 19 indexed citations
9.
Lokhande, Kiran Bharat, Shuchi Nagar, & K. Venkateswara Swamy. (2019). Molecular interaction studies of Deguelin and its derivatives with Cyclin D1 and Cyclin E in cancer cell signaling pathway: The computational approach. Scientific Reports. 9(1). 1778–1778. 39 indexed citations
11.
Lokhande, Kiran Bharat, et al.. (2018). Molecular Modeling, Docking, Dynamics and Simulation of Gefitinib and its Derivatives with EGFR in Non-small Cell Lung Cancer. Current Computer - Aided Drug Design. 14(3). 246–252. 25 indexed citations
12.
Lokhande, Kiran Bharat, et al.. (2017). Molecular Docking and Molecular Dynamics Simulation studies of DHFR inhibitors in Plasmodium falciparum. SHILAP Revista de lepidopterología. 1(Special Issue). 23–23. 3 indexed citations
13.
Nagar, Shuchi & Achintya Saha. (2010). Exploring benzcyclo derivatives as potent aromatase inhibitors using ligand-based modeling studies. European Journal of Medicinal Chemistry. 45(9). 4307–4315. 6 indexed citations
14.
Nagar, Shuchi & Achintya Saha. (2010). Modeling of diarylalkyl‐imidazole and diarylalkyl‐triazole derivatives as potent aromatase inhibitors for treatment of hormone‐dependent cancer. Journal of Computational Chemistry. 31(12). 2342–2353. 6 indexed citations
15.
Nagar, Shuchi, Md Ataul Islam, Suvadra Das, Arup Mukherjee, & Achintya Saha. (2008). Pharmacophore mapping of flavone derivatives for aromatase inhibition. Molecular Diversity. 12(1). 65–76. 15 indexed citations
16.
Nagar, Shuchi, et al.. (2008). Pharmacophore search for anti-fertility and estrogenic potencies of estrogen analogs. Journal of Molecular Modeling. 14(11). 1071–1082. 3 indexed citations
17.
Islam, Md Ataul, Shuchi Nagar, Suvadra Das, Arup Mukherjee, & Achintya Saha. (2008). Molecular Design Based on Receptor-Independent Pharmacophore: Application to Estrogen Receptor Ligands. Biological and Pharmaceutical Bulletin. 31(7). 1453–1460. 9 indexed citations
18.
Mukherjee, Subhendu, et al.. (2007). Pharmacophore mapping of arylbenzothiophene derivatives for MCF cell inhibition using classical and 3D space modeling approaches. Journal of Molecular Graphics and Modelling. 26(5). 884–892. 9 indexed citations
20.
Nagar, Shuchi, Thomas J. Pedersen, Kevin M. Carrick, Linda Hanley‐Bowdoin, & Dominique Robertson. (1995). A geminivirus induces expression of a host DNA synthesis protein in terminally differentiated plant cells.. The Plant Cell. 7(6). 705–719. 147 indexed citations

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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