Balaram Ghosh

12.4k total citations · 4 hit papers
307 papers, 9.8k citations indexed

About

Balaram Ghosh is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Balaram Ghosh has authored 307 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Molecular Biology, 61 papers in Organic Chemistry and 50 papers in Oncology. Recurrent topics in Balaram Ghosh's work include Nanoparticle-Based Drug Delivery (43 papers), Histone Deacetylase Inhibitors Research (38 papers) and Peptidase Inhibition and Analysis (28 papers). Balaram Ghosh is often cited by papers focused on Nanoparticle-Based Drug Delivery (43 papers), Histone Deacetylase Inhibitors Research (38 papers) and Peptidase Inhibition and Analysis (28 papers). Balaram Ghosh collaborates with scholars based in India, United States and Belgium. Balaram Ghosh's co-authors include Swati Biswas, Preeti Kumari, Nilanjan Adhikari, Tarun Jha, Omkara Swami Muddineti, David G. Marsh, Sri Vishnu Kiran Rompicharla, Milan Paul, Prit Lakhani and Yamini Bobde and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Balaram Ghosh

300 papers receiving 9.6k citations

Hit Papers

Linkage Analysis of IL4 and Other Chromosome 5q31.1 Marke... 1994 2026 2004 2015 1994 2015 2021 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Balaram Ghosh India 50 3.7k 1.8k 1.6k 1.5k 995 307 9.8k
Jia‐You Fang Taiwan 61 3.4k 0.9× 1.6k 0.9× 881 0.6× 1.4k 0.9× 461 0.5× 333 13.0k
Hongzhuan Chen China 60 6.0k 1.6× 2.6k 1.5× 626 0.4× 2.5k 1.6× 1.3k 1.3× 347 12.3k
Sanjula Baboota India 60 3.2k 0.9× 2.0k 1.1× 708 0.4× 976 0.6× 677 0.7× 282 12.0k
Maria Bryszewska Poland 49 5.8k 1.6× 1.3k 0.7× 1.5k 1.0× 1.0k 0.7× 863 0.9× 347 10.0k
Naoto Oku Japan 55 5.5k 1.5× 2.3k 1.3× 507 0.3× 1.8k 1.2× 697 0.7× 373 11.6k
Subhash C. Chauhan United States 56 4.6k 1.2× 2.2k 1.3× 566 0.4× 1.4k 0.9× 453 0.5× 181 9.7k
Adriana Raffin Pohlmann Brazil 53 2.3k 0.6× 2.4k 1.4× 1.1k 0.7× 1.1k 0.7× 507 0.5× 326 10.5k
Tomohiro Sawa Japan 48 6.1k 1.7× 4.1k 2.3× 1.2k 0.8× 3.5k 2.3× 1.4k 1.4× 211 14.9k
Jörg Huwyler Switzerland 56 4.7k 1.3× 2.9k 1.6× 791 0.5× 2.5k 1.6× 345 0.3× 277 12.3k
Hui Wang China 57 4.2k 1.1× 821 0.5× 1.3k 0.8× 2.5k 1.6× 494 0.5× 490 12.1k

Countries citing papers authored by Balaram Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Balaram Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Balaram Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Balaram Ghosh. A scholar is included among the top collaborators of Balaram Ghosh 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 Balaram Ghosh. Balaram Ghosh 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.
Paul, Milan, et al.. (2025). Hybrid metallic nanozyme with nitric oxide-releasing photothermal coating for accelerated infected diabetic wound healing. Journal of Nanobiotechnology. 23(1). 630–630. 1 indexed citations
3.
Banerjee, Suvankar, et al.. (2025). PROTAC‐Based HDAC Degradation: A Paradigm Shift in Targeted Epigenetic Therapies. ChemMedChem. 20(23). e202500203–e202500203.
4.
Itoo, Asif Mohd, Balaram Ghosh, & Swati Biswas. (2024). Recent advancements in Nanotechnology-Mediated Platinum-Based cancer therapy. Coordination Chemistry Reviews. 508. 215796–215796. 14 indexed citations
5.
Baidya, Sandip Kumar, Tarun Patel, Suvankar Banerjee, et al.. (2024). Synthesis, biological assessment, and in silico binding mode interaction analyses and DFT studies of biphenylsulfonamide-based potent MMP-2 inhibitors effective against chronic myeloid leukemia. Journal of Molecular Structure. 1328. 141278–141278. 8 indexed citations
7.
Paul, Milan, et al.. (2024). Cationized gelatin-sodium alginate polyelectrolyte nanoparticles encapsulating moxifloxacin as an eye drop to treat bacterial keratitis. International Journal of Biological Macromolecules. 264(Pt 1). 130457–130457. 12 indexed citations
9.
Patel, Tarun, et al.. (2023). Block HPMA-based pH-sensitive gemcitabine pro-drug nanoaggregates for cancer treatment. European Polymer Journal. 186. 111843–111843. 5 indexed citations
10.
Ajjarapu, Srinivas, et al.. (2023). Current trends in the development of liposomes for chemotherapeutic drug delivery. Journal of Drug Delivery Science and Technology. 87. 104854–104854. 16 indexed citations
11.
Baidya, Sandip Kumar, Suvankar Banerjee, Balaram Ghosh, Tarun Jha, & Nilanjan Adhikari. (2023). Assessing structural insights into in-house arylsulfonyl L-(+) glutamine MMP-2 inhibitors as promising anticancer agents through structure-based computational modelling approaches. SAR and QSAR in environmental research. 34(10). 805–830. 36 indexed citations
12.
Banerjee, Suvankar, et al.. (2023). Employing comparative QSAR techniques for the recognition of dibenzofuran and dibenzothiophene derivatives toward MMP-12 inhibition. Journal of Biomolecular Structure and Dynamics. 42(14). 7304–7320. 7 indexed citations
13.
Banerjee, Suvankar, Sandip Kumar Baidya, Balaram Ghosh, et al.. (2023). Quantitative structural assessments of potential meprin β inhibitors by non-linear QSAR approaches and validation by binding mode of interaction analysis. New Journal of Chemistry. 47(15). 7051–7069. 23 indexed citations
14.
Banerjee, Suvankar, Sandip Kumar Baidya, Balaram Ghosh, Nilanjan Adhikari, & Tarun Jha. (2022). The first report on predictive comparative ligand-based multi-QSAR modeling analysis of 4-pyrimidinone and 2-pyridinone based APJ inhibitors. New Journal of Chemistry. 46(24). 11591–11607. 12 indexed citations
15.
Patel, Tarun, Nilanjan Adhikari, Sk. Abdul Amin, et al.. (2021). Small molecule drug conjugates (SMDCs): an emerging strategy for anticancer drug design and discovery. New Journal of Chemistry. 45(12). 5291–5321. 45 indexed citations
17.
Bobde, Yamini, et al.. (2021). Design and Development of Distinct Tetracyanoquinodimethane Derivatives Exhibiting Dual Effect of Fluorescence and Anticancer Activity. ChemistrySelect. 6(29). 7354–7366. 4 indexed citations
19.
Adhikari, Nilanjan, Sk. Abdul Amin, Balaram Ghosh, & Tarun Jha. (2017). Shedding light on designing potential meprin β inhibitors through ligand-based robust validated computational approaches: A proposal to chemists!. Journal of Biomolecular Structure and Dynamics. 36(11). 3003–3022. 7 indexed citations
20.
Mondal, Amal Chandra, et al.. (2012). Effects of chronic stress and antidepressant treatment on behavioral, physiological and neurochemical aspects in male and female rats. SHILAP Revista de lepidopterología. 2 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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