Viney Lather

3.8k total citations
99 papers, 2.7k citations indexed

About

Viney Lather is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Viney Lather has authored 99 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 19 papers in Organic Chemistry and 18 papers in Computational Theory and Mathematics. Recurrent topics in Viney Lather's work include Computational Drug Discovery Methods (18 papers), Nanoparticle-Based Drug Delivery (14 papers) and Advanced Drug Delivery Systems (7 papers). Viney Lather is often cited by papers focused on Computational Drug Discovery Methods (18 papers), Nanoparticle-Based Drug Delivery (14 papers) and Advanced Drug Delivery Systems (7 papers). Viney Lather collaborates with scholars based in India, Portugal and United Arab Emirates. Viney Lather's co-authors include Deepti Pandita, Sandeep Kumar, Neelam Poonia, Ajmer Singh Grewal, Bhupinder Singh Sekhon, Rajeev Kharb, А. К. Мадан, Harish Dureja, Tathagata Dutta and Kirthanashri S. Vasanthan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Trends in Food Science & Technology.

In The Last Decade

Viney Lather

96 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viney Lather India 26 1.1k 524 503 349 294 99 2.7k
Deepti Pandita India 26 1.2k 1.1× 628 1.2× 529 1.1× 448 1.3× 207 0.7× 82 2.8k
Mallikarjuna Rao Pichika Malaysia 27 896 0.8× 400 0.8× 180 0.4× 383 1.1× 421 1.4× 84 3.5k
Mahfoozur Rahman India 32 1000 0.9× 758 1.4× 487 1.0× 781 2.2× 206 0.7× 137 3.4k
Muchtaridi Muchtaridi Indonesia 26 733 0.7× 645 1.2× 413 0.8× 374 1.1× 337 1.1× 206 2.8k
Shu‐Fen Peng Taiwan 31 1.8k 1.7× 537 1.0× 416 0.8× 270 0.8× 236 0.8× 109 3.4k
Shashank Singh India 33 1.2k 1.2× 402 0.8× 225 0.4× 221 0.6× 457 1.6× 182 2.9k
Obaid Afzal Saudi Arabia 37 1.7k 1.6× 506 1.0× 423 0.8× 443 1.3× 1.1k 3.6× 187 4.4k
Neeraj Kumar Fuloria Malaysia 32 993 0.9× 269 0.5× 202 0.4× 373 1.1× 273 0.9× 161 3.2k
Hibah M. Aldawsari Saudi Arabia 28 864 0.8× 404 0.8× 633 1.3× 304 0.9× 145 0.5× 84 2.4k
Deep Pooja India 31 887 0.8× 959 1.8× 480 1.0× 618 1.8× 254 0.9× 70 2.6k

Countries citing papers authored by Viney Lather

Since Specialization
Citations

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

Fields of papers citing papers by Viney Lather

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viney Lather

This figure shows the co-authorship network connecting the top 25 collaborators of Viney Lather. A scholar is included among the top collaborators of Viney Lather 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 Viney Lather. Viney Lather 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.
Grewal, Ajmer Singh, et al.. (2024). Combating Antimicrobial Resistance: A paradigm shift from general to precision medicine. Chemical Biology Letters. 11(2). 662–662. 12 indexed citations
2.
Poonia, Neelam, et al.. (2024). Therapeutic potential of various functional components presents within dragon fruit: A review. SHILAP Revista de lepidopterología. 6. 100185–100185. 6 indexed citations
3.
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5.
Kaur, Parvinder, et al.. (2022). Novel Cinnamic Acid Derivatives as Potential Anticancer Agents: Synthesis, In Vitro Cytotoxicity and Molecular Docking Studies. Biointerface Research in Applied Chemistry. 13(2). 150–150. 1 indexed citations
6.
Bai, Jing, Afsana Sheikh, Kirthanashri S. Vasanthan, et al.. (2022). Precision medicine: Ray of hope in overcoming cancer multidrug resistance. Drug Resistance Updates. 65. 100889–100889. 46 indexed citations
7.
Lather, Viney, et al.. (2022). Insights of 3D bioprinting and focusing the paradigm shift towards 4D printing for biomedical applications. Journal of materials research/Pratt's guide to venture capital sources. 38(1). 112–141. 24 indexed citations
8.
Lather, Viney, et al.. (2022). 3D-QSAR, E-pharmacophore and molecular docking to explore substituted sulfonamides as carbonic anhydrase inhibitors in epilepsy. Research Journal of Pharmacy and Technology. 5521–5528. 1 indexed citations
9.
Pandita, Deepti, et al.. (2021). Albumin-Coated Mesoporous Silica Nanoparticles of Docetaxel: Preparation, Characterization, and Pharmacokinetic Evaluation. Assay and Drug Development Technologies. 19(4). 226–236. 17 indexed citations
10.
Pandita, Deepti, Gaurav Jain, Pallavi Agarwal, et al.. (2021). Role of phytoconstituents in the management of COVID-19. Chemico-Biological Interactions. 341. 109449–109449. 24 indexed citations
11.
Poonia, Neelam, et al.. (2020). Optimization and Development of Methotrexate- and Resveratrol-Loaded Nanoemulsion Formulation Using Box–Behnken Design for Rheumatoid Arthritis. Assay and Drug Development Technologies. 18(8). 356–368. 37 indexed citations
12.
Grewal, Ajmer Singh, et al.. (2018). Molecular docking assessment of N-heteroaryl substituted benzamide derivatives as glucokinase activators. Asian Journal of Pharmacy and Pharmacology. 5(1). 129–136. 5 indexed citations
13.
Kant, Shashi, et al.. (2018). Investigation on anti-diabetic and anti-hyperlipidemic activities of Blepharis edulis root extract in wistar albino rats. Journal of Pharmacognosy and Phytochemistry. 7(3). 2528–2534. 2 indexed citations
14.
Pandita, Deepti, et al.. (2018). Design, synthesis and biological evaluation of novel thiazol-2-yl benzamide derivatives as glucokinase activators. Computational Biology and Chemistry. 73. 221–229. 39 indexed citations
15.
Rathee, Dharmender, Viney Lather, Ajmer Singh Grewal, & Harish Dureja. (2018). Enzymatic inhibitory activity of iridoid glycosides from Picrorrhiza kurroa against matrix metalloproteinases: Correlating in vitro targeted screening and docking. Computational Biology and Chemistry. 78. 28–36. 12 indexed citations
16.
Grewal, Ajmer Singh, et al.. (2017). Synthesis, Docking and Anti-Inflammatory Activity of Triazole Amine Derivatives as Potential Phosphodiesterase-4 Inhibitors. Anti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry. 16(1). 58–67. 13 indexed citations
17.
Kumar, Sandeep, Viney Lather, & Deepti Pandita. (2015). A facile green approach to prepare core-shell hybrid PLGA nanoparticles for resveratrol delivery. International Journal of Biological Macromolecules. 84. 380–384. 17 indexed citations
18.
19.
Lather, Viney, et al.. (2008). QSAR Models for Prediction of Glycogen Synthase Kinase‐3β Inhibitory Activity of Indirubin Derivatives. QSAR & Combinatorial Science. 27(6). 718–728. 25 indexed citations
20.
Lather, Viney & Anil Kumar Madan. (2005). Application of graph theory: Topological models for prediction of CDK-1 inhibitory activity of aloisines. Croatica Chemica Acta. 78(1). 55–61. 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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