Subhash C. Chauhan

12.3k total citations · 1 hit paper
181 papers, 9.7k citations indexed

About

Subhash C. Chauhan is a scholar working on Molecular Biology, Oncology and Biomaterials. According to data from OpenAlex, Subhash C. Chauhan has authored 181 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Molecular Biology, 50 papers in Oncology and 37 papers in Biomaterials. Recurrent topics in Subhash C. Chauhan's work include Nanoparticle-Based Drug Delivery (37 papers), Glycosylation and Glycoproteins Research (23 papers) and Monoclonal and Polyclonal Antibodies Research (21 papers). Subhash C. Chauhan is often cited by papers focused on Nanoparticle-Based Drug Delivery (37 papers), Glycosylation and Glycoproteins Research (23 papers) and Monoclonal and Polyclonal Antibodies Research (21 papers). Subhash C. Chauhan collaborates with scholars based in United States, India and Saudi Arabia. Subhash C. Chauhan's co-authors include Meena Jaggi, Murali M. Yallapu, Sheema Khan, Brij K. Gupta, Diane M. Maher, Surinder K. Batra, Neeraj Chauhan, Prashanth K.B. Nagesh, Aditya Ganju and Shadi F. Othman and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Subhash C. Chauhan

177 papers receiving 9.5k citations

Hit Papers

Curcumin nanoformulations: a future nanomedicine for cancer 2011 2026 2016 2021 2011 100 200 300 400 500

Peers

Subhash C. Chauhan
Meena Jaggi United States
Murali M. Yallapu United States
Crispin R. Dass Australia
Arun K. Iyer United States
Didier Merlin United States
Meena Jaggi United States
Subhash C. Chauhan
Citations per year, relative to Subhash C. Chauhan Subhash C. Chauhan (= 1×) peers Meena Jaggi

Countries citing papers authored by Subhash C. Chauhan

Since Specialization
Citations

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

Fields of papers citing papers by Subhash C. Chauhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhash C. Chauhan. 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 Subhash C. Chauhan. The network helps show where Subhash C. Chauhan may publish in the future.

Co-authorship network of co-authors of Subhash C. Chauhan

This figure shows the co-authorship network connecting the top 25 collaborators of Subhash C. Chauhan. A scholar is included among the top collaborators of Subhash C. Chauhan 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 Subhash C. Chauhan. Subhash C. Chauhan 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.
Dhasmana, Anupam, et al.. (2025). Unveiling the potential of Urolithin A in Cancer Therapy: Mechanistic Insights to Future Perspectives of Nanomedicine. Nanotheranostics. 9(2). 121–143. 4 indexed citations
2.
Alvi, Sahir Sultan, Anupam Dhasmana, Murali M. Yallapu, et al.. (2025). Mitochondrial ribosomal protein L3 (MRPL3): An early diagnostic biomarker and potential molecular target in pancreatic cancer. Translational Oncology. 58. 102432–102432.
3.
Alvi, Sahir Sultan, Andrew E. Massey, Vivek K. Kashyap, et al.. (2025). Ubiquitination of Oncogenic Mutant p53 via Attenuation of Ribosome Biogenesis Machinery Effectively Inhibits Pancreatic Tumor Growth. Molecular Cancer Therapeutics. 25(2). 257–271.
4.
Khan, Mohammad Moshahid, et al.. (2024). Long Non-Coding RNAs: New Insights in Neurodegenerative Diseases. International Journal of Molecular Sciences. 25(4). 2268–2268. 26 indexed citations
5.
Sehrawat, Nirmala, Mukesh Yadav, Anil Kumar Sharma, et al.. (2024). Dietary mung bean as promising food for human health: gut microbiota modulation and insight into factors, regulation, mechanisms and therapeutics—an update. Food Science and Biotechnology. 33(9). 2035–2045. 6 indexed citations
6.
Kashyap, Vivek K., Prashanth K.B. Nagesh, Andrew E. Massey, et al.. (2024). Curcumin attenuates smoking and drinking activated NF-κB/IL-6 inflammatory signaling axis in cervical cancer. Cancer Cell International. 24(1). 343–343. 6 indexed citations
7.
Laskar, Partha, et al.. (2023). Glutathione-Responsive Tannic Acid-Assisted FRET Nanomedicine for Cancer Therapy. Pharmaceutics. 15(5). 1326–1326. 6 indexed citations
8.
Dhasmana, Anupam, Sheema Khan, Farrukh Afaq, et al.. (2023). An integrated computational biology approach defines the crucial role of TRIP13 in pancreatic cancer. Computational and Structural Biotechnology Journal. 21. 5765–5775. 2 indexed citations
9.
Hatami, Elham, Prashanth K.B. Nagesh, Mohammed Sikander, et al.. (2022). Tannic Acid Exhibits Antiangiogenesis Activity in Nonsmall-Cell Lung Cancer Cells. ACS Omega. 7(27). 23939–23949. 16 indexed citations
10.
Chowdhury, Pallabita, Prashanth K.B. Nagesh, TJ Hollingsworth, et al.. (2022). Coating a Self-Assembly Nanoconstruct with a Neutrophil Cell Membrane Enables High Specificity for Triple Negative Breast Cancer Treatment. ACS Applied Bio Materials. 5(9). 4554–4566. 13 indexed citations
11.
Chowdhury, Pallabita, et al.. (2021). Bioactive nanotherapeutic trends to combat triple negative breast cancer. Bioactive Materials. 6(10). 3269–3287. 55 indexed citations
12.
Nagesh, Prashanth K.B., Pallabita Chowdhury, Elham Hatami, et al.. (2018). miRNA-205 Nanoformulation Sensitizes Prostate Cancer Cells to Chemotherapy. Cancers. 10(9). 289–289. 43 indexed citations
13.
Hatami, Elham, Prashanth K.B. Nagesh, Pallabita Chowdhury, et al.. (2018). Tannic Acid-Lung Fluid Assemblies Promote Interaction and Delivery of Drugs to Lung Cancer Cells. Pharmaceutics. 10(3). 111–111. 17 indexed citations
14.
Nagesh, Prashanth K.B., Elham Hatami, Pallabita Chowdhury, et al.. (2018). Tannic Acid Induces Endoplasmic Reticulum Stress-Mediated Apoptosis in Prostate Cancer. Cancers. 10(3). 68–68. 52 indexed citations
15.
Hafeez, Bilal Bin, Aditya Ganju, Mohammed Sikander, et al.. (2017). Ormeloxifene Suppresses Prostate Tumor Growth and Metastatic Phenotypes via Inhibition of Oncogenic β-catenin Signaling and EMT Progression. Molecular Cancer Therapeutics. 16(10). 2267–2280. 43 indexed citations
16.
Khan, Sheema, Mohammed Sikander, Mara C. Ebeling, et al.. (2016). MUC13 interaction with receptor tyrosine kinase HER2 drives pancreatic ductal adenocarcinoma progression. Oncogene. 36(4). 491–500. 26 indexed citations
17.
Khan, Sheema, Mara C. Ebeling, Neeraj Chauhan, et al.. (2015). Ormeloxifene Suppresses Desmoplasia and Enhances Sensitivity of Gemcitabine in Pancreatic Cancer. Cancer Research. 75(11). 2292–2304. 61 indexed citations
18.
Yallapu, Murali M., Mara C. Ebeling, Sheema Khan, et al.. (2013). Novel Curcumin-Loaded Magnetic Nanoparticles for Pancreatic Cancer Treatment. Molecular Cancer Therapeutics. 12(8). 1471–1480. 104 indexed citations
19.
Chauhan, Subhash C., Mara C. Ebeling, Akira Watanabe, et al.. (2009). Expression and Functions of Transmembrane Mucin MUC13 in Ovarian Cancer. Cancer Research. 69(3). 765–774. 98 indexed citations
20.
Naz, Rajesh K., et al.. (2000). Expression of alpha and gamma interferon receptors in the sperm cell. Molecular Reproduction and Development. 56(2). 189–197. 23 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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