Priya Kashyap

423 total citations
15 papers, 301 citations indexed

About

Priya Kashyap is a scholar working on Computational Theory and Mathematics, Endocrinology, Diabetes and Metabolism and Pharmacology. According to data from OpenAlex, Priya Kashyap has authored 15 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Pharmacology. Recurrent topics in Priya Kashyap's work include Computational Drug Discovery Methods (8 papers), Natural Antidiabetic Agents Studies (6 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). Priya Kashyap is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Natural Antidiabetic Agents Studies (6 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). Priya Kashyap collaborates with scholars based in India and Saudi Arabia. Priya Kashyap's co-authors include Suresh Kumar, Anil Panwar, Ashok Kumar, Shivani Kumar, Suman Chowdhury, Heera Ram, Vivekanandan Kalaiselvan, Sunil Dutt Shukla, Elsayed Fathi Abd Allah and A. N. Purohit and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecules.

In The Last Decade

Priya Kashyap

14 papers receiving 295 citations

Peers

Priya Kashyap

CAM

CTM

PHARM

Praveen Kumar Pasala India

Asmaa I. Owis Egypt

Saheed O. Afolabi Nigeria

Sanjay G. Walode India

Sarmin Jamaddar Bangladesh

Arumugam Madeswaran India

Femi Olawale South Africa

Fahmida Tasnim Richi Bangladesh

Periyasamy Vijayalakshmi India

Abul Bashar Ripon Khalipha Bangladesh

Praveen Kumar Pasala India

Priya Kashyap

109 ×1.0

55 ×0.6

CAM

84 ×1.2

CTM

52 ×1.0

PHARM

43 ×0.9

PHARM

Citations per year, relative to Priya Kashyap Priya Kashyap (= 1×) peers Praveen Kumar Pasala

Countries citing papers authored by Priya Kashyap

Since Specialization

Citations

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

Fields of papers citing papers by Priya Kashyap

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priya Kashyap

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

All Works

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15 of 15 papers shown

Ram, Heera, et al.. (2024). Neuroprotective Efficacy of Phytoconstituents of Methanolic Shoots Extract of Calligonum polygonoides L. in Hypercholesterolemia-associated Neurodegenerations. Endocrine Metabolic & Immune Disorders - Drug Targets. 25(2). 152–172. 2 indexed citations

Kashyap, Priya, et al.. (2023). Dual anticholinesterase and antioxidant activity of selected plants used in Unani medicines and in silico studies of identified compounds from UPLC-QTOF analysis. Journal of Herbal Medicine. 41. 100709–100709.

Ram, Heera, Pramod Kumar, Jaykaran Charan, et al.. (2023). Statins mimic and free radical scavenging potential of phytoconstituents of methanolic pod extract of Prosopis cineraria (L.) Druce. Vegetos. 37(4). 1357–1369. 1 indexed citations

Charan, Jaykaran, Heera Ram, A. N. Purohit, et al.. (2022). Ameliorations in dyslipidemia and atherosclerotic plaque by the inhibition of HMG-CoA reductase and antioxidant potential of phytoconstituents of an aqueous seed extract of Acacia senegal (L.) Willd in rabbits. PLoS ONE. 17(3). e0264646–e0264646. 13 indexed citations

Kumar, Pramod, Heera Ram, Chandra Kala, et al.. (2022). DPP-4 inhibition mediated antidiabetic potential of phytoconstituents of an aqueous fruit extract of Withania coagulans (Stocks) Dunal: in-silico, in-vitro and in-vivo assessments. Journal of Biomolecular Structure and Dynamics. 41(13). 6145–6167. 7 indexed citations

Ram, Heera, et al.. (2021). Efficacy of Small Molecule Phytochemicals of Petroleum Ether Pod Extract of Prosopis cineraria (L.) Druce on HMG-CoA Reductase and Biomarker Indices of Lipoproteins: In-vitro, In-vivo and In-silico Study. Biointerface Research in Applied Chemistry. 12(3). 2988–3001. 2 indexed citations

Ram, Heera, Pramod Kumar, A. N. Purohit, et al.. (2021). Improvements in HOMA indices and pancreatic endocrinal tissues in type 2-diabetic rats by DPP-4 inhibition and antioxidant potential of an ethanol fruit extract of Withania coagulans. Nutrition & Metabolism. 18(1). 43–43. 15 indexed citations

Purohit, A. N., Heera Ram, Suman Chowdhury, et al.. (2021). The interaction capabilities of phytoconstituents of ethanolic seed extract of cumin (Cuminum cyminum L.) with HMG‐CoA reductase to subside the hypercholesterolemia: A mechanistic approach. SHILAP Revista de lepidopterología. 3(2). 300–315. 9 indexed citations

Kumar, Suresh, Priya Kashyap, Suman Chowdhury, et al.. (2020). Identification of phytochemicals as potential therapeutic agents that binds to Nsp15 protein target of coronavirus (SARS-CoV-2) that are capable of inhibiting virus replication. Phytomedicine. 85. 153317–153317. 88 indexed citations

10.

Ram, Heera, Jaykaran Charan, Priya Kashyap, et al.. (2020). Phytoconstituents of an ethanolic pod extract of Prosopis cineraria triggers the inhibition of HMG-CoA reductase and the regression of atherosclerotic plaque in hypercholesterolemic rabbits. Lipids in Health and Disease. 19(1). 6–6. 17 indexed citations

11.

Kashyap, Priya, et al.. (2020). Ajmalicine and Reserpine: Indole Alkaloids as Multi-Target Directed Ligands Towards Factors Implicated in Alzheimer’s Disease. Molecules. 25(7). 1609–1609. 38 indexed citations

12.

Kashyap, Priya, Heera Ram, Sunil Dutt Shukla, & Suresh Kumar. (2020). Scopoletin: Antiamyloidogenic, Anticholinesterase, and Neuroprotective Potential of a Natural Compound Present in Argyreia speciosa Roots by In Vitro and In Silico Study. SHILAP Revista de lepidopterología. 15. 2805680861–2805680861. 32 indexed citations

13.

Kashyap, Priya, et al.. (2019). Sarsasapogenin: A steroidal saponin from Asparagus racemosus as multi target directed ligand in Alzheimer’s disease. Steroids. 153. 108529–108529. 53 indexed citations

14.

Ram, Heera, Pramod Kumar, Shivani Kumar, et al.. (2019). Dual Inhibition of DPP-4 and Cholinesterase Enzymes by the Phytoconstituents of the Ethanolic Extract of Prosopis cineraria Pods: Therapeutic Implications for the Treatment of Diabetes-associated Neurological Impairments. Current Alzheimer Research. 16(13). 1230–1244. 9 indexed citations

15.

Kumar, Suresh & Priya Kashyap. (2015). Antiproliferative activity and nitric oxide production of a methanolic extract of <i>Fraxinus micrantha</i> on Michigan Cancer Foundation-7 mammalian breast carcinoma cell line. Journal of Intercultural Ethnopharmacology. 4(2). 109–109. 15 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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