Priyanka De

1.0k total citations · 1 hit paper
32 papers, 705 citations indexed

About

Priyanka De is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Priyanka De has authored 32 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 6 papers in Organic Chemistry and 5 papers in Molecular Biology. Recurrent topics in Priyanka De's work include Computational Drug Discovery Methods (20 papers), Machine Learning in Materials Science (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Priyanka De is often cited by papers focused on Computational Drug Discovery Methods (20 papers), Machine Learning in Materials Science (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Priyanka De collaborates with scholars based in India, United States and United Kingdom. Priyanka De's co-authors include Kunal Roy, Supratik Kar, Arkaprava Banerjee, Mainak Chatterjee, Pravin Ambure, Helena M. Ramos, Vinay Kumar, Agnieszka Gajewicz, Arun Bandyopadhyay and Sreerupa Ghose Roy and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Chemosphere.

In The Last Decade

Priyanka De

31 papers receiving 685 citations

Hit Papers

Prediction reliability of QSAR models: an overview of var... 2022 2026 2023 2024 2022 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Prediction reliability of QSAR models: an overview of various validation tools
    2022 115 citations Priyanka De, Supratik Kar et al. Archives of Toxicology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Priyanka De India 16 356 153 92 88 70 32 705
Marco Pintore France 15 189 0.5× 99 0.6× 80 0.9× 54 0.6× 100 1.4× 39 713
Magalie Claeys‐Bruno France 15 91 0.3× 111 0.7× 49 0.5× 69 0.8× 25 0.4× 64 654
Rahul Balasaheb Aher India 9 662 1.9× 290 1.9× 145 1.6× 351 4.0× 95 1.4× 18 1.1k
M. C. Liu China 14 420 1.2× 268 1.8× 104 1.1× 129 1.5× 19 0.3× 21 799
Petar Žuvela Poland 15 198 0.6× 250 1.6× 221 2.4× 107 1.2× 13 0.2× 34 876
J T Pettersen Sweden 5 52 0.1× 173 1.1× 108 1.2× 48 0.5× 53 0.8× 8 1.0k
Sani Uba Nigeria 20 636 1.8× 390 2.5× 49 0.5× 637 7.2× 28 0.4× 110 1.3k
Weiping Ma China 14 124 0.3× 64 0.4× 90 1.0× 90 1.0× 57 0.8× 26 555
Ke Yu United States 11 167 0.5× 205 1.3× 20 0.2× 28 0.3× 21 0.3× 39 830
Richard W. Lewis United Kingdom 15 97 0.3× 110 0.7× 21 0.2× 25 0.3× 141 2.0× 39 910

Countries citing papers authored by Priyanka De

Since Specialization
Citations

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

Fields of papers citing papers by Priyanka De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priyanka De

This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka De. A scholar is included among the top collaborators of Priyanka De 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 Priyanka De. Priyanka De 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
1.
2.
De, Priyanka, Supratik Kar, Pravin Ambure, & Kunal Roy. (2022). Prediction reliability of QSAR models: an overview of various validation tools. Archives of Toxicology. 96(5). 1279–1295. 115 indexed citations breakdown →
3.
Banerjee, Arkaprava, Priyanka De, Vinay Kumar, Supratik Kar, & Kunal Roy. (2022). Quick and efficient quantitative predictions of androgen receptor binding affinity for screening Endocrine Disruptor Chemicals using 2D-QSAR and Chemical Read-Across. Chemosphere. 309(Pt 1). 136579–136579. 27 indexed citations
4.
De, Priyanka, Vinay Kumar, Supratik Kar, Kunal Roy, & Jerzy Leszczyński. (2022). Repurposing FDA approved drugs as possible anti-SARS-CoV-2 medications using ligand-based computational approaches: sum of ranking difference-based model selection. Structural Chemistry. 33(5). 1741–1753. 15 indexed citations
5.
Kumar, Vinay, Supratik Kar, Priyanka De, Kunal Roy, & Jerzy Leszczyński. (2022). Identification of potential antivirals against 3CLpro enzyme for the treatment of SARS-CoV-2: A multi-step virtual screening study. SAR and QSAR in environmental research. 33(5). 357–386. 11 indexed citations
6.
Chatterjee, Mainak, Arkaprava Banerjee, Priyanka De, Agnieszka Gajewicz, & Kunal Roy. (2021). A novel quantitative read-across tool designed purposefully to fill the existing gaps in nanosafety data. Environmental Science Nano. 9(1). 189–203. 90 indexed citations
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9.
De, Priyanka & Kunal Roy. (2021). QSAR and QSAAR modeling of nitroimidazole sulfonamide radiosensitizers: application of small dataset modeling. Structural Chemistry. 32(2). 631–642. 18 indexed citations
10.
Raihan, Selim, et al.. (2020). The Pandemic and Economic Fallout in South Asia Challenges and the Way Forward. Economic and political weekly. 55(46). 13–18. 3 indexed citations
11.
De, Priyanka & Kunal Roy. (2020). QSAR modeling of PET imaging agents for the diagnosis of Parkinson’s disease targeting dopamine receptor. Theoretical Chemistry Accounts. 139(12). 10 indexed citations
12.
De, Priyanka, Sagar S. Bhayye, Vinay Kumar, & Kunal Roy. (2020). In silico modeling for quick prediction of inhibitory activity against 3CLpro enzyme in SARS CoV diseases. Journal of Biomolecular Structure and Dynamics. 40(3). 1010–1036. 19 indexed citations
13.
De, Priyanka, Rahul Balasaheb Aher, & Kunal Roy. (2018). Chemometric modeling of larvicidal activity of plant derived compounds against zika virus vectorAedes aegypti: application of ETA indices. RSC Advances. 8(9). 4662–4670. 21 indexed citations
14.
De, Priyanka, et al.. (2011). Excess of glucocorticoid induces myocardial remodeling and alteration of calcium signaling in cardiomyocytes. Journal of Endocrinology. 209(1). 105–114. 34 indexed citations
15.
De, Priyanka, et al.. (2011). Excess of glucocorticoid induces myocardial remodeling and alteration of calcium signaling in cardiomyocytes. Journal of Endocrinology. 209(2). 255–255. 1 indexed citations
16.
De, Priyanka, et al.. (2010). Clustering of cardiometabolic risk factors in Asian Indian women. Menopause The Journal of The North American Menopause Society. 17(2). 359–364. 15 indexed citations
17.
Roy, Sreerupa Ghose, Priyanka De, Debasri Mukherjee, et al.. (2009). Excess of Glucocorticoid Induces Cardiac Dysfunction via Activating Angiotensin II Pathway. Cellular Physiology and Biochemistry. 24(1-2). 1–10. 46 indexed citations
18.
Sarkar, Aritra, et al.. (2007). Numerical Study on Heat Transfer and Fluid Flow Past a Circular Cylinder in the Vicinity of a Plane Wall. Numerical Heat Transfer Part A Applications. 53(6). 641–666. 17 indexed citations
19.
Pramanick, Kousik, et al.. (2007). Stimulation of salmon calcitonin on secretion of 17β-estradiol by the ovarian follicles of common carp, Cyprinus carpio. Journal of Endocrinology. 196(2). 413–424. 15 indexed citations
20.
De, Priyanka, et al.. (2003). CONTAINER PORT SYSTEM CONCENTRATION. Transportation quarterly. 57(4). 10 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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