Joseph Irudayaraj

22.9k total citations · 2 hit papers
383 papers, 18.1k citations indexed

About

Joseph Irudayaraj is a scholar working on Molecular Biology, Biomedical Engineering and Analytical Chemistry. According to data from OpenAlex, Joseph Irudayaraj has authored 383 papers receiving a total of 18.1k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Molecular Biology, 126 papers in Biomedical Engineering and 79 papers in Analytical Chemistry. Recurrent topics in Joseph Irudayaraj's work include Advanced biosensing and bioanalysis techniques (82 papers), Spectroscopy and Chemometric Analyses (79 papers) and Biosensors and Analytical Detection (52 papers). Joseph Irudayaraj is often cited by papers focused on Advanced biosensing and bioanalysis techniques (82 papers), Spectroscopy and Chemometric Analyses (79 papers) and Biosensors and Analytical Detection (52 papers). Joseph Irudayaraj collaborates with scholars based in United States, China and Canada. Joseph Irudayaraj's co-authors include Chenxu Yu, Yuling Wang, Ramazan Kizil, S. Sivakesava, Koushik Seetharaman, Ali Demırcı, Gilles K. Kouassi, Jiji Chen, Hong Yang and Chungang Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Joseph Irudayaraj

374 papers receiving 17.6k citations

Hit Papers

Characterization of Irradiated Starches by Using FT-Raman... 2002 2026 2010 2018 2002 2024 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Irudayaraj United States 71 6.3k 6.3k 3.3k 3.3k 2.4k 383 18.1k
Yibin Ying China 89 5.8k 0.9× 11.2k 1.8× 4.5k 1.4× 2.9k 0.9× 5.2k 2.2× 582 25.8k
Shuo Wang China 73 7.5k 1.2× 6.7k 1.1× 5.6k 1.7× 1.2k 0.4× 3.9k 1.6× 933 26.7k
Chuanlai Xu China 83 13.1k 2.1× 12.4k 2.0× 8.8k 2.6× 6.6k 2.0× 1.3k 0.5× 689 28.1k
Hugh J. Byrne Ireland 61 3.0k 0.5× 3.7k 0.6× 4.6k 1.4× 1.1k 0.3× 3.4k 1.4× 401 14.1k
Bing Zhao China 75 7.6k 1.2× 6.8k 1.1× 10.3k 3.1× 11.3k 3.5× 926 0.4× 950 26.2k
Jilie Kong China 61 6.4k 1.0× 5.2k 0.8× 3.2k 1.0× 840 0.3× 522 0.2× 294 15.4k
Xu Zhang China 62 3.5k 0.6× 3.8k 0.6× 3.9k 1.2× 1.6k 0.5× 1.1k 0.5× 443 13.1k
Lingxin Chen China 111 13.3k 2.1× 14.3k 2.3× 12.5k 3.8× 5.4k 1.7× 10.8k 4.5× 677 43.1k
Jaebum Choo South Korea 73 6.8k 1.1× 8.9k 1.4× 3.6k 1.1× 5.5k 1.7× 1.1k 0.5× 293 16.3k
Wei Chen China 54 4.7k 0.7× 4.3k 0.7× 1.9k 0.6× 1.1k 0.3× 1.2k 0.5× 263 9.7k

Countries citing papers authored by Joseph Irudayaraj

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Irudayaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Irudayaraj

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Irudayaraj. A scholar is included among the top collaborators of Joseph Irudayaraj 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 Joseph Irudayaraj. Joseph Irudayaraj 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.
Bukavina, Laura, et al.. (2025). PFAS and heavy metals mixture in vitro: Insights into synergistic toxicity across multiple cell lines. Journal of Hazardous Materials Advances. 20. 100913–100913.
2.
Ren, Wen, et al.. (2025). Retinal hypoxia reversal with PLGA-oxygen nanobubbles. Biomaterials Science. 13(21). 6098–6112.
3.
Han, Xiaoxue, Wen Ren, Rongwen Lu, et al.. (2025). Oxygenating Nanobubble Hydrogel for Accelerated Surgical Wound Closure and Restoration of Native Skin Architecture. ACS Nano. 19(48). 41044–41061.
4.
Zhang, Xing, et al.. (2024). Kidney toxicology of a novel compound Lithium Bis(trifluoromethanesulfonyl)imide (LiTFSI, ie. HQ-115) used in energy applications: An epigenetic perspective. The Science of The Total Environment. 955. 177019–177019. 2 indexed citations
5.
Fazal, Zeeshan, Sarah J. Freemantle, Michael R. La Frano, et al.. (2024). Perfluorooctanesulfonic Acid Alters Pro-Cancer Phenotypes and Metabolic and Transcriptional Signatures in Testicular Germ Cell Tumors. Toxics. 12(4). 232–232. 9 indexed citations
6.
Ahmad, Saeed, et al.. (2023). Mucosal DNA methylome alteration in Crohn’s disease: surgical and non-surgical groups. Frontiers in Genetics. 14. 1244513–1244513. 2 indexed citations
8.
Mosier, Nathan S., et al.. (2021). Hormesis-Inducing Essential Oil Nanodelivery System Protects Plants against Broad Host-Range Necrotrophs. ACS Nano. 15(5). 8338–8349. 14 indexed citations
9.
Mosier, Nathan S., et al.. (2021). Nanovaccine for Plants from Organic Waste: d-Limonene-Loaded Chitosan Nanocarriers Protect Plants against Botrytis cinerea. ACS Sustainable Chemistry & Engineering. 9(29). 9903–9914. 14 indexed citations
10.
Ahmad, Saeed, Yi Wen, & Joseph Irudayaraj. (2021). PFOA induces alteration in DNA methylation regulators and SARS-CoV-2 targets Ace2 and Tmprss2 in mouse lung tissues. Toxicology Reports. 8. 1892–1898. 20 indexed citations
12.
Rattan, Saniya, Athilakshmi Kannan, Emily Brehm, et al.. (2019). Prenatal and ancestral exposure to di(2-ethylhexyl) phthalate alters gene expression and DNA methylation in mouse ovaries. Toxicology and Applied Pharmacology. 379. 114629–114629. 45 indexed citations
13.
Kadam, Ulhas Sopanrao, et al.. (2017). Single molecule Raman spectroscopic assay to detect transgene from GM plants. Analytical Biochemistry. 532. 60–63. 14 indexed citations
14.
Choudhury, Samrat Roy, et al.. (2017). Epigenetic Editing of Ascl1 Gene in Neural Stem Cells by Optogenetics. Scientific Reports. 7(1). 42047–42047. 46 indexed citations
15.
Choudhury, Samrat Roy, Yi Cui, Anoop Narayanan, et al.. (2016). Optogenetic regulation of site-specific subtelomeric DNA methylation. PMC. 1 indexed citations
16.
Choudhury, Samrat Roy, Yi Cui, Katarzyna Lubecka, Barbara Stefañska, & Joseph Irudayaraj. (2016). CRISPR-dCas9 mediated TET1 targeting for selective DNA demethylation at BRCA1 promoter. Oncotarget. 7(29). 46545–46556. 265 indexed citations
17.
Amreddy, Narsireddy, et al.. (2014). Targeted in vivo photodynamic therapy with epidermal growth factor receptor-specific peptide linked nanoparticles. International Journal of Pharmaceutics. 471(1-2). 421–429. 25 indexed citations
18.
Cui, Yi, Samrat Roy Choudhury, & Joseph Irudayaraj. (2014). Quantitative real-time kinetics of optogenetic proteins CRY2 and CIB1/N using single-molecule tools. Analytical Biochemistry. 458. 58–60. 9 indexed citations
19.
Mura, Stefania, Francesco Corrias, M. Piccinini, et al.. (2011). Innovative Composite Films of Chitosan, Methylcellulose, and Nanoparticles. Journal of Food Science. 76(7). N54–60. 19 indexed citations
20.
Ghazanfari, A., D. Wulfsohn, & Joseph Irudayaraj. (1998). MACHINE VISION GRADING OF PISTACHIO NUTS USING GRAY-LEVEL HISTOGRAM. 40(1). 61–66. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026