Sukesh Kumar Gupta

608 total citations
22 papers, 491 citations indexed

About

Sukesh Kumar Gupta is a scholar working on Pharmacology, Computational Theory and Mathematics and Physiology. According to data from OpenAlex, Sukesh Kumar Gupta has authored 22 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmacology, 7 papers in Computational Theory and Mathematics and 7 papers in Physiology. Recurrent topics in Sukesh Kumar Gupta's work include Cholinesterase and Neurodegenerative Diseases (9 papers), Computational Drug Discovery Methods (7 papers) and Alzheimer's disease research and treatments (5 papers). Sukesh Kumar Gupta is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (9 papers), Computational Drug Discovery Methods (7 papers) and Alzheimer's disease research and treatments (5 papers). Sukesh Kumar Gupta collaborates with scholars based in India, United States and Singapore. Sukesh Kumar Gupta's co-authors include Sairam Krishnamurthy, Ankit Ganeshpurkar, Sushil Kumar Singh, Gopichand Gutti, Senthil Raja Ayyannan, Bibekananda Sarkar, Ashish Ranjan Dwivedi, Anil K. Mantha, Rati Kailash Prasad Tripathi and Jyoti Parkash and has published in prestigious journals such as Brain Research, Biochemical and Biophysical Research Communications and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Sukesh Kumar Gupta

20 papers receiving 488 citations

Peers

Sukesh Kumar Gupta
Merav Yogev‐Falach Israel
Sabrina Petralla Italy
Xinnan Li China
Ebru Bodur Türkiye
Elisa Canepa United States
Qinghong Liao China
Faisal Saeed United States
Tapan K. Khan United States
William Z. Suo United States
Laura Simone Italy
Merav Yogev‐Falach Israel
Sukesh Kumar Gupta
Citations per year, relative to Sukesh Kumar Gupta Sukesh Kumar Gupta (= 1×) peers Merav Yogev‐Falach

Countries citing papers authored by Sukesh Kumar Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Sukesh Kumar Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukesh Kumar Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Sukesh Kumar Gupta. A scholar is included among the top collaborators of Sukesh Kumar Gupta 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 Sukesh Kumar Gupta. Sukesh Kumar Gupta 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.
Beeraka, Narasimha M., et al.. (2025). From inflammation to intervention: exploring shared mechanisms and lifestyle strategies in diabetes mellitus and multiple sclerosis. International Immunopharmacology. 165. 115467–115467.
2.
Gupta, Sukesh Kumar, et al.. (2024). Advances in neuronal regeneration: Hydrogel-based delivery systems loaded with extracellular vesicles in modulating neural impulses and tissue repair. European Polymer Journal. 220. 113457–113457. 1 indexed citations
3.
Gupta, Sukesh Kumar, et al.. (2024). Deciphering the role of miRNAs in Alzheimer's disease: Predictive targeting and pathway modulation – A systematic review. Ageing Research Reviews. 101. 102483–102483. 9 indexed citations
4.
Gupta, Sukesh Kumar, et al.. (2024). The neurotransmitter puzzle of Alzheimer's: Dissecting mechanisms and exploring therapeutic horizons. Brain Research. 1829. 148797–148797. 16 indexed citations
5.
Sharma, Monika, et al.. (2024). Microglial mediators in autoimmune Uveitis: Bridging neuroprotection and neurotoxicity. International Immunopharmacology. 136. 112309–112309. 8 indexed citations
6.
Gupta, Sukesh Kumar, et al.. (2024). miRNA-124 loaded extracellular vesicles encapsulated within hydrogel matrices for combating chemotherapy-induced neurodegeneration. Biochemical and Biophysical Research Communications. 734. 150778–150778.
7.
Nguyen, Tracy, et al.. (2024). Dynamin-1 is a potential mediator in cancer-related cognitive impairment. Neurotherapeutics. 22(1). e00480–e00480. 2 indexed citations
8.
Gupta, Sukesh Kumar, et al.. (2024). Microglial-mediated immune mechanisms in autoimmune uveitis: Elucidating pathogenic pathways and targeted therapeutics. Journal of Neuroimmunology. 395. 578433–578433. 6 indexed citations
9.
Sharma, Monika, et al.. (2024). Advances in Alzheimer's disease: A multifaceted review of potential therapies and diagnostic techniques for early detection. Neurochemistry International. 177. 105761–105761. 22 indexed citations
10.
11.
Gupta, Sukesh Kumar, et al.. (2023). Benzimidazole-derived carbohydrazones as dual monoamine oxidases and acetylcholinesterase inhibitors: design, synthesis, and evaluation. Journal of Biomolecular Structure and Dynamics. 42(9). 4710–4729. 11 indexed citations
12.
Gupta, Sukesh Kumar, et al.. (2021). Neuroprotective effects of quercetin produced by an endophytic fungus Nigrospora oryzae isolated from Tinospora cordifolia. Journal of Applied Microbiology. 132(1). 365–380. 26 indexed citations
13.
Gupta, Sukesh Kumar, et al.. (2019). Long-term exposure of 2450 MHz electromagnetic radiation induces stress and anxiety like behavior in rats. Neurochemistry International. 128. 1–13. 30 indexed citations
14.
Sharma, Piyoosh, Prabhash Nath Tripathi, Sukesh Kumar Gupta, et al.. (2019). Design and development of 1,3,4-oxadiazole derivatives as potential inhibitors of acetylcholinesterase to ameliorate scopolamine-induced cognitive dysfunctions. Bioorganic Chemistry. 89. 103025–103025. 45 indexed citations
15.
Kumar, Devendra, Sukesh Kumar Gupta, Ankit Ganeshpurkar, et al.. (2018). Biological profiling of piperazinediones for the management of anxiety. Pharmacology Biochemistry and Behavior. 176. 63–71. 16 indexed citations
16.
Kumar, Devendra, Sukesh Kumar Gupta, Ankit Ganeshpurkar, et al.. (2018). Development of Piperazinediones as dual inhibitor for treatment of Alzheimer's disease. European Journal of Medicinal Chemistry. 150. 87–101. 72 indexed citations
17.
18.
Kumar, Bhupinder, Ashish Ranjan Dwivedi, Bibekananda Sarkar, et al.. (2018). 4,6-Diphenylpyrimidine Derivatives as Dual Inhibitors of Monoamine Oxidase and Acetylcholinesterase for the Treatment of Alzheimer’s Disease. ACS Chemical Neuroscience. 10(1). 252–265. 76 indexed citations
19.
Tripathi, Rati Kailash Prasad, et al.. (2017). Design, synthesis, and pharmacological evaluation of 2-amino-5-nitrothiazole derived semicarbazones as dual inhibitors of monoamine oxidase and cholinesterase: effect of the size of aryl binding site. Journal of Enzyme Inhibition and Medicinal Chemistry. 33(1). 37–57. 48 indexed citations
20.
Gupta, Sukesh Kumar, Swetlana Gautam, Jitendra K. Rawat, et al.. (2014). Efficacy of variable dosage of aspirin in combating methotrexate-induced intestinal toxicity. RSC Advances. 5(13). 9354–9360. 11 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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