Vijesh Kumar

829 total citations
31 papers, 664 citations indexed

About

Vijesh Kumar is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Vijesh Kumar has authored 31 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Spectroscopy. Recurrent topics in Vijesh Kumar's work include Protein purification and stability (20 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and Viral Infectious Diseases and Gene Expression in Insects (12 papers). Vijesh Kumar is often cited by papers focused on Protein purification and stability (20 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and Viral Infectious Diseases and Gene Expression in Insects (12 papers). Vijesh Kumar collaborates with scholars based in India, United States and Germany. Vijesh Kumar's co-authors include Anurag S. Rathore, Abraham M. Lenhoff, Varsha Joshi, Eric von Lieres, Karin Westerberg, Nitin Yadav, Mi Sun Jin, Nikhil Kateja, Devashish Kumar and John P. Welsh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Membrane Science and Journal of Chromatography A.

In The Last Decade

Vijesh Kumar

28 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vijesh Kumar India 16 565 266 152 149 47 31 664
Reinhard Ditz Germany 12 490 0.9× 152 0.6× 139 0.9× 214 1.4× 55 1.2× 28 682
Beckley K. Nfor Netherlands 13 561 1.0× 238 0.9× 180 1.2× 131 0.9× 41 0.9× 14 648
Abhinav A. Shukla United States 13 725 1.3× 464 1.7× 130 0.9× 105 0.7× 51 1.1× 15 787
Fabian Steinebach Switzerland 13 690 1.2× 269 1.0× 79 0.5× 175 1.2× 86 1.8× 17 768
Suresh Vunnum United States 14 553 1.0× 294 1.1× 215 1.4× 144 1.0× 61 1.3× 19 675
Reb J. Russell United States 13 646 1.1× 179 0.7× 235 1.5× 148 1.0× 26 0.6× 20 807
Letha Chemmalil United States 10 347 0.6× 124 0.5× 54 0.4× 115 0.8× 46 1.0× 16 487
Kevin Brower United States 7 538 1.0× 188 0.7× 30 0.2× 169 1.1× 63 1.3× 11 594
Astrid Dürauer Austria 14 446 0.8× 125 0.5× 48 0.3× 167 1.1× 49 1.0× 45 663
Nikhil Kateja India 14 363 0.6× 130 0.5× 33 0.2× 121 0.8× 27 0.6× 16 433

Countries citing papers authored by Vijesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Vijesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijesh Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Vijesh Kumar. A scholar is included among the top collaborators of Vijesh Kumar 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 Vijesh Kumar. Vijesh Kumar 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.
Kumar, Vijesh, et al.. (2025). S3173 Association of Low Vitamin D Levels With Helicobacter pylori Infection: A Systematic Review and Meta-Analysis. The American Journal of Gastroenterology. 120(10S2). S683–S683.
2.
Welsh, John P., et al.. (2024). High‐throughput in silico workflow for optimization and characterization of multimodal chromatographic processes. Biotechnology Progress. 40(6). e3483–e3483. 7 indexed citations
3.
Ismail, Hina, et al.. (2024). Predictors of Mortality in Patients with Spontaneous Bacterial Peritonitis. Euroasian Journal of Hepato-Gastroenterology. 14(2). 125–128.
4.
Welsh, John P., et al.. (2023). Isotherm model discrimination for multimodal chromatography using mechanistic models derived from high-throughput batch isotherm data. Journal of Chromatography A. 1693. 463878–463878. 20 indexed citations
5.
Kumar, Vijesh, et al.. (2023). Predictive mechanistic modeling of loading and elution in protein A chromatography. Journal of Chromatography A. 1713. 464558–464558. 9 indexed citations
6.
7.
Kumar, Vijesh, et al.. (2023). Adeno-associated viral capsid stability on anion exchange chromatography column and its impact on empty and full capsid separation. Molecular Therapy — Methods & Clinical Development. 31. 101112–101112. 22 indexed citations
8.
Kumar, Vijesh, et al.. (2023). Potential of Y. lipolytica epoxide hydrolase for efficient production of enantiopure (R)-1,2-octanediol. AMB Express. 13(1). 77–77. 3 indexed citations
9.
Kumar, Vijesh, et al.. (2021). Robust mechanistic modeling of protein ion-exchange chromatography. Journal of Chromatography A. 1660. 462669–462669. 34 indexed citations
10.
Kumar, Vijesh, et al.. (2020). Estimating and leveraging protein diffusion on ion-exchange resin surfaces. Proceedings of the National Academy of Sciences. 117(13). 7004–7010. 21 indexed citations
11.
Kumar, Vijesh, et al.. (2020). Displacement to separate host‐cell proteins and aggregates in cation‐exchange chromatography of monoclonal antibodies. Biotechnology and Bioengineering. 118(1). 164–174. 14 indexed citations
12.
Kumar, Vijesh, et al.. (2018). Multi-column displacement chromatography for separation of charge variants of monoclonal antibodies. Journal of Chromatography A. 1586. 40–51. 40 indexed citations
13.
Joshi, Varsha, Vijesh Kumar, & Anurag S. Rathore. (2017). Optimization of ion exchange sigmoidal gradients using hybrid models: Implementation of quality by design in analytical method development. Journal of Chromatography A. 1491. 145–152. 20 indexed citations
14.
Kumar, Vijesh, et al.. (2015). Mechanistic modeling of ion-exchange process chromatography of charge variants of monoclonal antibody products. Journal of Chromatography A. 1426. 140–153. 68 indexed citations
15.
Joshi, Varsha, Vijesh Kumar, & Anurag S. Rathore. (2015). Role of Organic Modifier and Gradient Shape in RP-HPLC Separation: Analysis of GCSF Variants. Journal of Chromatographic Science. 53(3). 417–423. 16 indexed citations
16.
Joshi, Varsha, Vijesh Kumar, & Anurag S. Rathore. (2015). Rapid analysis of charge variants of monoclonal antibodies using non-linear salt gradient in cation-exchange high performance liquid chromatography. Journal of Chromatography A. 1406. 175–185. 41 indexed citations
17.
Kumar, Vijesh & Anurag S. Rathore. (2014). Two-stage chromatographic separation of aggregates for monoclonal antibody therapeutics. Journal of Chromatography A. 1368. 155–162. 10 indexed citations
18.
Joshi, Varsha, et al.. (2014). Avoiding antibody aggregation during processing: Establishing hold times. Biotechnology Journal. 9(9). 1195–1205. 65 indexed citations
19.
Kumar, Vijesh, et al.. (2003). Enantiomeric separation of the key intermediate of paroxetine using chiral chromatography. Journal of Pharmaceutical and Biomedical Analysis. 33(4). 803–809. 7 indexed citations
20.
Saska, M., et al.. (1999). Filtration of clarified cane juice using spiral polymeric membrane configuration.. 49(1). 17–25. 9 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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