Vijay H. Masand

2.0k total citations
102 papers, 1.7k citations indexed

About

Vijay H. Masand is a scholar working on Organic Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Vijay H. Masand has authored 102 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Organic Chemistry, 59 papers in Computational Theory and Mathematics and 33 papers in Molecular Biology. Recurrent topics in Vijay H. Masand's work include Computational Drug Discovery Methods (59 papers), Synthesis and biological activity (42 papers) and Synthesis and Biological Evaluation (10 papers). Vijay H. Masand is often cited by papers focused on Computational Drug Discovery Methods (59 papers), Synthesis and biological activity (42 papers) and Synthesis and Biological Evaluation (10 papers). Vijay H. Masand collaborates with scholars based in India, Saudi Arabia and Egypt. Vijay H. Masand's co-authors include Vesna Rastija, Devidas T. Mahajan, Taïbi Ben Hadda, Rahul D. Jawarkar, Magdi E. A. Zaki, Nahed N. E. El-Sayed, Sami A. Al‐Hussain, Ahmed M. Alafeefy, Vaishali M. Patil and B. P. Bandgar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Vijay H. Masand

97 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vijay H. Masand India 23 922 750 533 264 105 102 1.7k
Mukesh C. Sharma India 22 806 0.9× 551 0.7× 508 1.0× 223 0.8× 92 0.9× 191 1.8k
Joël Freyss Switzerland 6 480 0.5× 704 0.9× 777 1.5× 221 0.8× 120 1.1× 7 1.6k
Manjunath Ghate India 25 1.0k 1.1× 392 0.5× 857 1.6× 272 1.0× 213 2.0× 97 2.1k
Edmund L. Ellsworth United States 22 1.0k 1.1× 357 0.5× 716 1.3× 197 0.7× 131 1.2× 46 1.9k
Vinícius Gonçalves Maltarollo Brazil 21 447 0.5× 799 1.1× 841 1.6× 152 0.6× 97 0.9× 110 1.9k
Tamer M. Ibrahim Egypt 25 832 0.9× 343 0.5× 538 1.0× 193 0.7× 78 0.7× 55 1.3k
Samir Chtita Morocco 31 1.5k 1.6× 1.3k 1.8× 770 1.4× 356 1.3× 159 1.5× 242 2.9k
Pavel V. Pogodin Russia 17 603 0.7× 651 0.9× 749 1.4× 278 1.1× 127 1.2× 38 1.8k
Lixia Sun China 11 452 0.5× 935 1.2× 728 1.4× 198 0.8× 112 1.1× 16 1.9k
Vithal M. Kulkarni India 21 700 0.8× 384 0.5× 646 1.2× 170 0.6× 192 1.8× 77 1.4k

Countries citing papers authored by Vijay H. Masand

Since Specialization
Citations

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

Fields of papers citing papers by Vijay H. Masand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vijay H. Masand. 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 Vijay H. Masand. The network helps show where Vijay H. Masand may publish in the future.

Co-authorship network of co-authors of Vijay H. Masand

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay H. Masand. A scholar is included among the top collaborators of Vijay H. Masand 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 Vijay H. Masand. Vijay H. Masand 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.
Alasmary, Fatmah Ali, Vijay H. Masand, Abdul Samad, et al.. (2025). Identification of pharmacophore synergism for optimization of estrogen receptor beta binders for hormone dependent forms of breast cancer. Chemical Physics Impact. 10. 100872–100872.
2.
Richetta, Clémence, Olivier Delelis, Khursheed Ahmed, et al.. (2025). Identification of HIV-1 Reverse Transcriptase-Associated Ribonuclease H Inhibitors Based on 2-Hydroxy-1,4-naphthoquinone Mannich Bases. Molecules. 30(3). 495–495.
3.
Yasir, Mohammad, et al.. (2024). Theranostics: a multifaceted approach utilizing nano-biomaterials. SHILAP Revista de lepidopterología. 19(1). 35–35. 20 indexed citations
4.
Jawarkar, Rahul D., Magdi E. A. Zaki, Sami A. Al‐Hussain, et al.. (2024). Mechanistic QSAR modeling derived virtual screening, drug repurposing, ADMET and in - vitro evaluation to identify anticancer lead as lysine-specific demethylase 5a inhibitor. Journal of Biomolecular Structure and Dynamics. 43(15). 8468–8498. 4 indexed citations
5.
Masand, Vijay H., Sami A. Al‐Hussain, Abdullah Yahya Abdullah Alzahrani, et al.. (2024). Estrogen Receptor Alpha Binders for Hormone-Dependent Forms of Breast Cancer: e-QSAR and Molecular Docking Supported by X-ray Resolved Structures. ACS Omega. 9(14). 16759–16774. 10 indexed citations
6.
Bhosale, Raghunath B., et al.. (2024). Pyrazole-based N-phenyl pyrazolines: Synthesis, docking, and pharmacological evaluation. Results in Chemistry. 11. 101793–101793. 4 indexed citations
7.
8.
Shah, Sapan, et al.. (2023). In silico study to recognize novel angiotensin-converting-enzyme-I inhibitors by 2D-QSAR and constraint-based molecular simulations. Journal of Biomolecular Structure and Dynamics. 42(5). 2211–2230. 4 indexed citations
9.
Bhosale, Raghunath B., et al.. (2023). Design, synthesis, docking studies and biological screening of 2-pyrimidinyl-2, 3-dihydro-1 H -naphtho [1, 2- e ][1, 3] oxazines as potent tubulin polymerization inhibitors. Journal of Biomolecular Structure and Dynamics. 42(22). 12044–12061. 2 indexed citations
10.
11.
Tighadouini, Saïd, Zainab M. Almarhoon, Abir Ben Bacha, et al.. (2022). Quinoline Derivatives with Different Functional Groups: Evaluation of Their Catecholase Activity. Catalysts. 12(11). 1468–1468. 8 indexed citations
12.
Masand, Vijay H., et al.. (2021). Quantitative Structure–Activity Relationship Evaluation of MDA-MB-231 Cell Anti-Proliferative Leads. Molecules. 26(16). 4795–4795. 3 indexed citations
13.
Jawarkar, Rahul D., Magdi E. A. Zaki, Sami A. Al‐Hussain, et al.. (2021). QSAR based virtual screening derived identification of a novel hit as a SARS CoV-229E 3CLpro Inhibitor: GA-MLR QSAR modeling supported by molecular Docking, molecular dynamics simulation and MMGBSA calculation approaches. Arabian Journal of Chemistry. 15(1). 103499–103499. 37 indexed citations
14.
Masand, Vijay H., et al.. (2020). Synthesis of Antimicrobial and Anti-inflammatory Active Triazine Thiazolidinone Derivatives. SSRN Electronic Journal.
15.
Masand, Vijay H., et al.. (2020). Structure features of peptide-type SARS-CoV main protease inhibitors: Quantitative structure activity relationship study. Chemometrics and Intelligent Laboratory Systems. 206. 104172–104172. 10 indexed citations
16.
Chtita, Samir, Mounir Ghamali, Adnane Aouidate, et al.. (2019). QSAR study of anti-Human African Trypanosomiasis activity for 2-phenylimidazopyridines derivatives using DFT and Lipinski's descriptors. Heliyon. 5(3). e01304–e01304. 35 indexed citations
17.
18.
Masand, Vijay H., et al.. (2011). POM as Efficient Tools to Predict and Improve Both Antibacterial and Antifungal Activity of Aryl Aldazines. 1(3). 57–68. 12 indexed citations
19.
Masand, Vijay H., et al.. (2011). Molecular docking and 3D QSAR studies of quinoxaline derivatives as potential influenza NS1A protein inhibitors. 1(3). 49–56. 3 indexed citations
20.
Masand, Vijay H., et al.. (2010). 3D-QSAR studies on xanthone derivatives to understand pharmacological activities as MAO inhibitors.. Der pharma chemica. 2(5). 22–32. 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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