Himanshu Pandya

934 total citations
78 papers, 691 citations indexed

About

Himanshu Pandya is a scholar working on Molecular Biology, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, Himanshu Pandya has authored 78 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 22 papers in Computational Theory and Mathematics and 12 papers in Plant Science. Recurrent topics in Himanshu Pandya's work include Computational Drug Discovery Methods (22 papers), Synthesis and biological activity (7 papers) and Protein Structure and Dynamics (6 papers). Himanshu Pandya is often cited by papers focused on Computational Drug Discovery Methods (22 papers), Synthesis and biological activity (7 papers) and Protein Structure and Dynamics (6 papers). Himanshu Pandya collaborates with scholars based in India, Canada and United States. Himanshu Pandya's co-authors include Sivakumar Prasanth Kumar, Chirag Patel, Yogesh T. Jasrai, Rakesh Rawal, Krunal Modi, Saumya Patel, Daxesh P. Patel, Frank J. Gonzalez, Prakash C. Jha and John J. Georrge and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Chemistry and Proteins Structure Function and Bioinformatics.

In The Last Decade

Himanshu Pandya

68 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Himanshu Pandya India 17 255 186 122 83 68 78 691
Yogesh Kumar India 16 246 1.0× 168 0.9× 121 1.0× 68 0.8× 79 1.2× 57 850
Ren Kong China 17 580 2.3× 238 1.3× 65 0.5× 106 1.3× 46 0.7× 76 1.1k
Abhishek Srivastava United Kingdom 20 461 1.8× 113 0.6× 89 0.7× 104 1.3× 41 0.6× 52 1.4k
Lu Feng China 16 368 1.4× 157 0.8× 86 0.7× 120 1.4× 65 1.0× 43 809
Jayakanthan Mannu India 14 256 1.0× 71 0.4× 38 0.3× 151 1.8× 55 0.8× 71 754
Sanjay Kumar Singh India 15 323 1.3× 150 0.8× 144 1.2× 183 2.2× 21 0.3× 52 945
Li‐Hsin Shu Taiwan 10 207 0.8× 109 0.6× 31 0.3× 24 0.3× 127 1.9× 19 629
Tingting Fu China 13 297 1.2× 108 0.6× 29 0.2× 47 0.6× 26 0.4× 40 624
Jingsong Ma China 3 241 0.9× 85 0.5× 43 0.4× 34 0.4× 35 0.5× 7 657
Kerry M. Ervin United States 10 364 1.4× 61 0.3× 60 0.5× 71 0.9× 37 0.5× 11 903

Countries citing papers authored by Himanshu Pandya

Since Specialization
Citations

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

Fields of papers citing papers by Himanshu Pandya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Himanshu Pandya

This figure shows the co-authorship network connecting the top 25 collaborators of Himanshu Pandya. A scholar is included among the top collaborators of Himanshu Pandya 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 Himanshu Pandya. Himanshu Pandya 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
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Kumar, Sivakumar Prasanth, et al.. (2022). MHC2AffyPred : A machine‐learning approach to estimate affinity of MHC class II peptides based on structural interaction fingerprints. Proteins Structure Function and Bioinformatics. 91(2). 277–289. 1 indexed citations
5.
Pandya, Himanshu, et al.. (2022). Synthesis of Biodegradable Plastic from Citrus reticulata peels. International Journal of Advanced Research in Science Communication and Technology. 570–576. 1 indexed citations
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Rawal, Rakesh, et al.. (2021). Network pharmacology-based evaluation of natural compounds with paclitaxel for the treatment of metastatic breast cancer. Toxicology and Applied Pharmacology. 423. 115576–115576. 7 indexed citations
7.
Mohanty, Jatindra Nath, et al.. (2020). De novo sequencing and transcriptome analysis of Indian Bael (Aegle marmelos L.). Gene Reports. 19. 100671–100671. 6 indexed citations
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Rawal, Rakesh, et al.. (2020). Anticancer Efficacy of Thevetia peruviana (Pers.) K. Schum. Extracts on Triple Negative Human Breast Cancer Cell Line. European Journal of Medicinal Plants. 64–69. 1 indexed citations
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Singh, Chandra Prakash, et al.. (2019). Remote sensing of alpine treeline ecotone dynamics and phenology in Arunachal Pradesh Himalaya. International Journal of Remote Sensing. 40(20). 7986–8009. 20 indexed citations
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Singh, Chandra Prakash, Maroof Hamid, Anzar Ahmad Khuroo, et al.. (2019). Modelling Betula utilis distribution in response to climate-warming scenarios in Hindu-Kush Himalaya using random forest. Biodiversity and Conservation. 28(8-9). 2295–2317. 24 indexed citations
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Singh, Chandra Prakash, et al.. (2019). Assessment of the alpine plant species biodiversity in the western Himalaya using Resourcesat-2 imagery and field survey. Journal of Earth System Science. 128(7). 8 indexed citations
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Kumar, Sivakumar Prasanth, et al.. (2019). In silico targeting PAD4 for the treatment of rheumatoid arthritis. Structural Chemistry. 30(4). 1323–1334. 2 indexed citations
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Singh, Chandra Prakash, et al.. (2018). Evaluating changes in treeline position and land surface phenology in Sikkim Himalaya. Geocarto International. 35(5). 453–469. 14 indexed citations
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Patel, Chirag, et al.. (2017). The effect of bisphenol A on testicular steroidogenesis and its amelioration by quercetin: anin vivoandin silicoapproach. Toxicology Research. 7(1). 22–31. 26 indexed citations
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Kumar, Sivakumar Prasanth, Yogesh T. Jasrai, & Himanshu Pandya. (2016). Applications of Receptor- and Ligand-based Models in Inverse Docking Experiments: Recognition of Dihydrofolate Reductase Using 7,8-Dialkyl- 1,3-Diaminopyrrolo[3,2-f]Quinazolines. Current Computer - Aided Drug Design. 12(1). 15–28. 7 indexed citations
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Pandya, Himanshu, et al.. (2016). Aquaculture and Environmental Pollution -A Review work. International Journal of Scientific Research in Science Engineering and Technology. 2(1). 40–45. 11 indexed citations
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Kumar, Sivakumar Prasanth, Prakash C. Jha, Himanshu Pandya, & Yogesh T. Jasrai. (2014). Implementation of pseudoreceptor-based pharmacophore queries in the prediction of probable protein targets: explorations in the protein structural profile of Zea mays. Molecular BioSystems. 10(7). 1833–1844. 7 indexed citations
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Kumar, Sivakumar Prasanth, et al.. (2014). Development of pharmacophore similarity-based quantitative activity hypothesis and its applicability domain: applied on a diverse data-set of HIV-1 integrase inhibitors. Journal of Biomolecular Structure and Dynamics. 33(4). 706–722. 10 indexed citations
20.
Patel, Saumya, et al.. (2013). A Computational Approach towards the Understanding of Plasmodium falciparum Multidrug Resistance Protein 1. PubMed. 2013. 1–15. 7 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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