Sunil Kumar

1.4k total citations
87 papers, 899 citations indexed

About

Sunil Kumar is a scholar working on Pharmacology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Sunil Kumar has authored 87 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Pharmacology, 33 papers in Organic Chemistry and 26 papers in Computational Theory and Mathematics. Recurrent topics in Sunil Kumar's work include Cholinesterase and Neurodegenerative Diseases (33 papers), Computational Drug Discovery Methods (26 papers) and Electrochemical sensors and biosensors (17 papers). Sunil Kumar is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (33 papers), Computational Drug Discovery Methods (26 papers) and Electrochemical sensors and biosensors (17 papers). Sunil Kumar collaborates with scholars based in India, Saudi Arabia and South Korea. Sunil Kumar's co-authors include Bijo Mathew, Hoon Kim, Mohamed A. Abdelgawad, Aathira Sujathan Nair, Manorama Tripathi, Jong‐Min Oh, T. M. Rangarajan, Ashutosh Kumar Singh, Mohammed M. Ghoneim and Niranjan Chakraborty and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Molecules.

In The Last Decade

Sunil Kumar

77 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunil Kumar India 16 351 242 209 177 85 87 899
Carmela Gnerre Switzerland 18 374 1.1× 288 1.2× 254 1.2× 81 0.5× 56 0.7× 39 1.1k
Elías Quezada Spain 16 592 1.7× 265 1.1× 341 1.6× 123 0.7× 83 1.0× 49 1.1k
Joana Reis Portugal 17 734 2.1× 315 1.3× 679 3.2× 171 1.0× 53 0.6× 39 1.3k
Carmen Terán Spain 21 738 2.1× 471 1.9× 213 1.0× 364 2.1× 47 0.6× 74 1.3k
S. L. Manju India 14 889 2.5× 242 1.0× 235 1.1× 105 0.6× 29 0.3× 35 1.2k
Gregor Fels Germany 20 375 1.1× 613 2.5× 292 1.4× 172 1.0× 23 0.3× 68 1.3k
Lyudmila Tsurkan United States 18 193 0.5× 499 2.1× 382 1.8× 241 1.4× 27 0.3× 21 1.0k
Mark C. Walker United States 18 354 1.0× 473 2.0× 438 2.1× 43 0.2× 36 0.4× 32 1.2k
Janice L. Hyatt United States 23 396 1.1× 672 2.8× 628 3.0× 423 2.4× 47 0.6× 27 1.5k

Countries citing papers authored by Sunil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Kumar. A scholar is included among the top collaborators of Sunil Kumar 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 Sunil Kumar. Sunil Kumar 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.
Kumar, Sunil, et al.. (2024). A review on synthetic inhibitors of dual-specific tyrosine phosphorylation-regulated kinase 1A (DYRK1A) for the treatment of Alzheimer’s disease (AD). Bioorganic & Medicinal Chemistry. 113. 117925–117925. 4 indexed citations
2.
3.
Bellver‐Sanchís, Aina, Sunil Kumar, Belén Pérez, et al.. (2024). Design, synthesis, and biological evaluation of tetrahydropyrimidine analogue as GSK-3β/Aβ aggregation inhibitor and anti-Alzheimer’s agent. Bioorganic Chemistry. 153. 107811–107811. 3 indexed citations
4.
5.
Khan, Ajmal, Suraj N. Mali, Sunil Kumar, et al.. (2024). Design, synthesis, and in vitro and in silico studies of morpholine derived thiazoles as bovine carbonic anhydrase-II inhibitors. RSC Advances. 14(30). 21355–21374. 6 indexed citations
6.
Kumar, Sunil, T P Aneesh, Mohamed A. Abdelgawad, et al.. (2023). A structure-based approach to explore novel COX-2 inhibitors using pharmacophore modelling, 3D-QSAR analysis, virtual screening and dynamics simulation study. Journal of Molecular Structure. 1295. 136634–136634. 7 indexed citations
7.
8.
Mishra, Akanksha, et al.. (2023). Detection of Cyberbullying on Social Media. International Journal of Computer Applications. 185(4). 43–47.
9.
Kumar, Sunil, Mohamed A. Abdelgawad, Wael A. Mahdi, et al.. (2023). Exploiting butyrylcholinesterase inhibitors through a combined 3-D pharmacophore modeling, QSAR, molecular docking, and molecular dynamics investigation. RSC Advances. 13(14). 9513–9529. 8 indexed citations
10.
Kumar, Sunil, et al.. (2023). A Concise Review of the Recent Structural Explorations of Chromones as MAO-B Inhibitors: Update from 2017 to 2023. Pharmaceuticals. 16(9). 1310–1310. 8 indexed citations
11.
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Kumar, Sunil, et al.. (2023). A Comprehensive Review of the Docking Studies of Chalcone for theDevelopment of Selective MAO-B Inhibitors. CNS & Neurological Disorders - Drug Targets. 23(6). 697–714. 3 indexed citations
13.
Nair, Aathira Sujathan, Ashutosh Kumar Singh, Sunil Kumar, et al.. (2023). Current and Future Nano-Carrier-Based Approaches in the Treatment of Alzheimer’s Disease. Brain Sciences. 13(2). 213–213. 12 indexed citations
14.
Kumar, Sunil, Jong‐Min Oh, Mohamed A. Abdelgawad, et al.. (2023). Development of Isopropyl-Tailed Chalcones as a New Class of Selective MAO-B Inhibitors for the Treatment of Parkinson’s Disorder. ACS Omega. 8(7). 6908–6917. 28 indexed citations
15.
Abdelgawad, Mohamed A., Mohammed M. Ghoneim, Mohamed E. Shaker, et al.. (2023). Piperidine: A Versatile Heterocyclic Ring for Developing Monoamine Oxidase Inhibitors. ACS Omega. 8(41). 37731–37751. 19 indexed citations
16.
Kumar, Sunil, et al.. (2022). Guanidine-based β amyloid precursor protein cleavage enzyme 1 (BACE-1) inhibitors for the Alzheimer's disease (AD): A review. Bioorganic & Medicinal Chemistry. 74. 117047–117047. 29 indexed citations
17.
Abdelgawad, Mohamed A., Jong‐Min Oh, Della Grace Thomas Parambi, et al.. (2022). Development of bromo- and fluoro-based α, β-unsaturated ketones as highly potent MAO-B inhibitors for the treatment of Parkinson's disease. Journal of Molecular Structure. 1266. 133545–133545. 39 indexed citations
18.
Nair, Aathira Sujathan, Jong‐Min Oh, Sunil Kumar, et al.. (2021). Development of Halogenated Pyrazolines as Selective Monoamine Oxidase-B Inhibitors: Deciphering via Molecular Dynamics Approach. Molecules. 26(11). 3264–3264. 16 indexed citations
19.
Kumar, Sunil, et al.. (2021). Chemical Space Exploration of DprE1 Inhibitors Using Chemoinformatics and Artificial Intelligence. ACS Omega. 6(22). 14430–14441. 20 indexed citations
20.
Kumar, Sunil, et al.. (2020). Exploiting cheminformatic and machine learning to navigate the available chemical space of potential small molecule inhibitors of SARS-CoV-2. Computational and Structural Biotechnology Journal. 19. 424–438. 28 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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