Anurag S. Rathore

13.3k total citations · 2 hit papers
419 papers, 9.6k citations indexed

About

Anurag S. Rathore is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Anurag S. Rathore has authored 419 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 301 papers in Molecular Biology, 125 papers in Radiology, Nuclear Medicine and Imaging and 86 papers in Biomedical Engineering. Recurrent topics in Anurag S. Rathore's work include Protein purification and stability (233 papers), Viral Infectious Diseases and Gene Expression in Insects (172 papers) and Monoclonal and Polyclonal Antibodies Research (119 papers). Anurag S. Rathore is often cited by papers focused on Protein purification and stability (233 papers), Viral Infectious Diseases and Gene Expression in Insects (172 papers) and Monoclonal and Polyclonal Antibodies Research (119 papers). Anurag S. Rathore collaborates with scholars based in India, United States and United Kingdom. Anurag S. Rathore's co-authors include Cs. Horváth, Rahul Bhambure, Garima Thakur, Vijesh Kumar, Nikhil Kateja, Mili Pathak, Varsha Joshi, Saxena Nikita, Csaba Horváth and Reuben S. Harris and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Anurag S. Rathore

396 papers receiving 9.3k citations

Hit Papers

APOBEC3B is an enzymatic source of mutation in breast cancer 2009 2026 2014 2020 2013 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anurag S. Rathore India 46 6.4k 2.5k 1.9k 1.2k 1.1k 419 9.6k
Feng Li China 58 8.7k 1.4× 3.8k 1.5× 400 0.2× 715 0.6× 428 0.4× 326 12.6k
Jürgen Bajorath Germany 65 12.9k 2.0× 624 0.3× 1.5k 0.8× 1.6k 1.4× 4.5k 4.0× 705 26.2k
Jürgen Hubbuch Germany 44 4.3k 0.7× 1.7k 0.7× 1.4k 0.8× 1.2k 1.0× 158 0.1× 283 6.1k
Xi Chen United States 68 11.2k 1.8× 583 0.2× 1.4k 0.8× 300 0.3× 2.4k 2.2× 593 17.4k
Huanxiang Liu China 42 3.1k 0.5× 465 0.2× 250 0.1× 635 0.5× 206 0.2× 307 6.7k
Yu‐Dong Cai China 64 11.8k 1.9× 585 0.2× 329 0.2× 335 0.3× 461 0.4× 491 15.6k
Jean‐Louis Reymond Switzerland 67 10.8k 1.7× 1.2k 0.5× 709 0.4× 2.0k 1.7× 341 0.3× 406 17.3k
Yu‐Ju Chen Taiwan 58 5.5k 0.9× 906 0.4× 469 0.2× 1.8k 1.5× 825 0.7× 372 9.7k
Kurt Brorson United States 35 2.6k 0.4× 570 0.2× 1.1k 0.6× 175 0.1× 794 0.7× 122 3.9k
William S. Hancock United States 54 6.1k 1.0× 1.2k 0.5× 1.1k 0.6× 4.0k 3.4× 609 0.5× 236 9.0k

Countries citing papers authored by Anurag S. Rathore

Since Specialization
Citations

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

Fields of papers citing papers by Anurag S. Rathore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anurag S. Rathore. 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 Anurag S. Rathore. The network helps show where Anurag S. Rathore may publish in the future.

Co-authorship network of co-authors of Anurag S. Rathore

This figure shows the co-authorship network connecting the top 25 collaborators of Anurag S. Rathore. A scholar is included among the top collaborators of Anurag S. Rathore 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 Anurag S. Rathore. Anurag S. Rathore 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.
Ramteke, Manojkumar, et al.. (2025). Permutation invariant self-attention infused U-shaped transformer for medical image segmentation. Neurocomputing. 625. 129577–129577.
3.
Dixit, Neha, et al.. (2025). N-Glycosylation modulators for targeted manipulation of glycosylation for monoclonal antibodies. Applied Microbiology and Biotechnology. 109(1). 16–16. 1 indexed citations
4.
Rathore, Anurag S., et al.. (2025). Impact of Various Forced Oxidative Stress Factors in Rapid Degradation of mAb: Trastuzumab as a Case Study. Pharmaceutical Research. 42(2). 335–351. 1 indexed citations
5.
Mishra, Avinash, et al.. (2025). Higher concentration of trehalose dihydrate stabilizes recombinant IgG1 under forced stress conditions. Journal of Pharmaceutical Sciences. 114(2). 1398–1409. 3 indexed citations
6.
Ahmad, Aziz, et al.. (2025). Effect of formulation composition on trastuzumab stability. International Journal of Pharmaceutics. 671. 125275–125275. 1 indexed citations
7.
Nikita, Saxena, et al.. (2024). Holistic process control framework for smart biomanufacturing: A deep learning driven approach. Computers & Chemical Engineering. 187. 108742–108742. 4 indexed citations
8.
Rathore, Anurag S., et al.. (2024). Application of ensemble learning to augment fluorescence-based PAT and enable real-time monitoring of protein refolding. Biochemical Engineering Journal. 204. 109252–109252. 1 indexed citations
9.
Kodamana, Hariprasad, et al.. (2024). A deep learning-aided multi-objective optimization of a downstream process for production of monoclonal antibody products. Biochemical Engineering Journal. 208. 109357–109357. 5 indexed citations
10.
Kashiramka, Smita, et al.. (2024). The economics of translating a biosimilar from lab to market in India. Annals of the New York Academy of Sciences. 1541(1). 219–229. 1 indexed citations
11.
Ahmad, Aziz, et al.. (2024). Challenges with effective removal of surfactants from monoclonal antibody formulations. International Journal of Pharmaceutics. 670. 125146–125146.
12.
Rathore, Anurag S., et al.. (2023). Recent progress in high-throughput and automated characterization of N-glycans in monoclonal antibodies. TrAC Trends in Analytical Chemistry. 169. 117397–117397. 5 indexed citations
13.
Rathore, Anurag S., et al.. (2023). Assessment of structural and functional similarity of biosimilar products: Bevacizumab as a case study. Journal of Chromatography B. 1229. 123896–123896. 6 indexed citations
14.
Rathore, Anurag S., et al.. (2023). Development of continuous processing platform utilizing aqueous two-phase extraction for purification of monoclonal antibodies. Journal of Chromatography A. 1715. 464605–464605. 6 indexed citations
15.
Rathore, Anurag S., et al.. (2023). Soft sensor based rapid detection of trace chlorine dioxide (ClO2) concentration in water. Water Research. 242. 120231–120231. 6 indexed citations
16.
Kumar, Ashutosh, et al.. (2022). NMR based quality evaluation of mAb therapeutics: A proof of concept higher order structure biosimilarity assessment of trastuzumab biosimilars. Journal of Pharmaceutical and Biomedical Analysis. 214. 114710–114710. 3 indexed citations
18.
Rathore, Anurag S., et al.. (2008). Absence of H186R Polymorphism in Exon 4 of the APOBEC3G Gene among North Indian Individuals. Genetic Testing. 12(3). 453–456. 9 indexed citations
19.
Rathore, Anurag S. & Ajoy Velayudhan. (2003). Scale-Up and Optimization in Preparative Chromatography. 13 indexed citations
20.
Rathore, Anurag S. & Cs. Horváth. (1998). Cyclodextrin aided separation of peptides and proteins by capillary zone electrophoresis. Journal of Chromatography A. 796(2). 367–373. 19 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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