Ghanshyam Das Gupta

5.9k total citations · 2 hit papers
263 papers, 4.1k citations indexed

About

Ghanshyam Das Gupta is a scholar working on Molecular Biology, Pharmaceutical Science and Oncology. According to data from OpenAlex, Ghanshyam Das Gupta has authored 263 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 54 papers in Pharmaceutical Science and 25 papers in Oncology. Recurrent topics in Ghanshyam Das Gupta's work include Drug Solubulity and Delivery Systems (36 papers), Advanced Drug Delivery Systems (25 papers) and Analytical Methods in Pharmaceuticals (19 papers). Ghanshyam Das Gupta is often cited by papers focused on Drug Solubulity and Delivery Systems (36 papers), Advanced Drug Delivery Systems (25 papers) and Analytical Methods in Pharmaceuticals (19 papers). Ghanshyam Das Gupta collaborates with scholars based in India, United States and Nigeria. Ghanshyam Das Gupta's co-authors include Rajeev Garg, Giovanna Tosato, Julie Teruya‐Feldstein, Preeti Patel, Lei Yao, Balak Das Kurmi, Sandra E. Pike, Barry Cherney, Shamsher Singh and Cecilia Sgadari and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Ghanshyam Das Gupta

237 papers receiving 3.8k citations

Hit Papers

Advancement in Solubilization Approaches: A Step towards ... 2023 2026 2024 2025 2023 2024 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ghanshyam Das Gupta India 32 1.1k 883 751 687 334 263 4.1k
Ketan Patel United States 37 2.1k 2.0× 720 0.8× 457 0.6× 1.0k 1.5× 299 0.9× 149 5.6k
Chiara Dianzani Italy 42 2.0k 1.9× 542 0.6× 694 0.9× 434 0.6× 278 0.8× 124 4.8k
Masuo Kondoh Japan 40 2.1k 2.0× 425 0.5× 289 0.4× 540 0.8× 349 1.0× 212 5.6k
Xiang Li China 40 2.2k 2.0× 643 0.7× 693 0.9× 319 0.5× 245 0.7× 211 5.7k
Marize Campos Valadares Brazil 30 855 0.8× 321 0.4× 338 0.5× 382 0.6× 279 0.8× 160 3.1k
Chi‐Feng Hung Taiwan 41 1.3k 1.2× 422 0.5× 356 0.5× 168 0.2× 325 1.0× 132 4.4k
Mahfoozur Rahman India 32 1000 0.9× 487 0.6× 353 0.5× 201 0.3× 206 0.6× 137 3.4k
Chandraiah Godugu India 40 1.4k 1.4× 574 0.7× 393 0.5× 474 0.7× 846 2.5× 111 5.2k
Yuling Liu China 30 1.0k 1.0× 403 0.5× 244 0.3× 358 0.5× 138 0.4× 112 2.6k
Vivek R. Yadav United States 28 1.7k 1.6× 264 0.3× 297 0.4× 381 0.6× 410 1.2× 60 3.5k

Countries citing papers authored by Ghanshyam Das Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Ghanshyam Das Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghanshyam Das Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Ghanshyam Das Gupta. A scholar is included among the top collaborators of Ghanshyam Das 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 Ghanshyam Das Gupta. Ghanshyam Das 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
2.
Ashish, Abdul, et al.. (2025). Global harmonization in advanced therapeutics: balancing innovation, safety, and access. Personalized Medicine. 22(3). 181–191. 3 indexed citations
3.
Sharma, Praveen, Praveen Sharma, Ghanshyam Das Gupta, et al.. (2025). Evaluating Unghosted Cells ( UGC ): An Automated Blood Cell Counter‐Derived Novel Red Cell Research Parameter for Its Clinical Utility and Diagnostic Implications Across a Spectrum of Pathological Conditions. International Journal of Laboratory Hematology. 47(6). 1018–1024.
4.
Gupta, Ghanshyam Das, et al.. (2024). Targeting JAK2/STAT3 for the treatment of cancer: A review on recent advancements in molecular development using structural analysis and SAR investigations. Bioorganic Chemistry. 143. 107095–107095. 17 indexed citations
5.
Kumar, Sumit, Sidharth Mehan, Zuber Khan, Ghanshyam Das Gupta, & Acharan S. Narula. (2024). Guggulsterone Selectively Modulates STAT-3, mTOR, and PPAR-Gamma Signaling in a Methylmercury-Exposed Experimental Neurotoxicity: Evidence from CSF, Blood Plasma, and Brain Samples. Molecular Neurobiology. 61(8). 5161–5193. 11 indexed citations
6.
Khan, Zuber, Sidharth Mehan, Ghanshyam Das Gupta, & Acharan S. Narula. (2024). Immune System Dysregulation in the Progression of Multiple Sclerosis: Molecular Insights and Therapeutic Implications. Neuroscience. 548. 9–26. 26 indexed citations
7.
Sethi, Pranshul, Sidharth Mehan, Zuber Khan, et al.. (2024). The SIRT-1/Nrf2/HO-1 axis: Guardians of neuronal health in neurological disorders. Behavioural Brain Research. 476. 115280–115280. 18 indexed citations
8.
Gupta, Ghanshyam Das, et al.. (2024). A Review on Advancement in Analytical Quality by Design (AQbD). Current Analytical Chemistry. 21(8). 901–922.
11.
Gupta, Ghanshyam Das, et al.. (2024). Harnessing the Power of Ensemble Algorithms for Diabetes Prediction: A Comparative Analysis. 1–6. 1 indexed citations
12.
Priya, Shalini Jaswal, Ghanshyam Das Gupta, & Sant Kumar Verma. (2023). A comprehension on synthetic strategies of Aurora kinase A and B inhibitors. Journal of Molecular Structure. 1278. 134935–134935. 5 indexed citations
13.
14.
Mehan, Sidharth, et al.. (2023). Melatonin-mediated IGF-1/GLP-1 activation in experimental OCD rats: Evidence from CSF, blood plasma, brain and in-silico investigations. Biochemical Pharmacology. 217. 115831–115831. 7 indexed citations
15.
Gupta, Ghanshyam Das & Dilpreet Singh. (2023). A Complete Sojourn of Gene Therapy along with its Targeting Approachesfor the Treatment of the Major Depressive Disorder. Current Gene Therapy. 23(4). 276–290. 1 indexed citations
16.
Kumari, Lakshmi, et al.. (2023). NOTCH Signaling Pathway: Occurrence, Mechanism, and NOTCH-Directed Therapy for the Management of Cancer. Cancer Biotherapy and Radiopharmaceuticals. 39(1). 19–34. 6 indexed citations
17.
Gupta, Ghanshyam Das, Mir Irfan Ul Haq, Ankush Raina, & Wani Khalid Shafi. (2021). Effect of epoxidation and nanoparticle addition on the rheological and tribological properties of canola oil. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 236(9). 1837–1845. 7 indexed citations
18.
Singh, Arvind, et al.. (2011). Effect on human sperm mitochondrial activity by Piper betle and Calendula officinalis. Annals of biological research. 2(5). 622–627. 2 indexed citations
19.
Gupta, Ghanshyam Das, et al.. (2011). Generated household and temple waste in Chitrakoot, a pilgrimage point in India: Their management and impact on river Mandakini. Indian Journal of Science and Technology. 4(7). 750–758. 2 indexed citations
20.
Gupta, Ghanshyam Das & Ram Gaud. (2000). Formulation And Evaluation Of Nimesulide Dispersible Tablets Using Natural Disintegrants. Indian Journal of Pharmaceutical Sciences. 62(5). 339. 4 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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