Ratnesh Jain

3.4k total citations
135 papers, 2.5k citations indexed

About

Ratnesh Jain is a scholar working on Molecular Biology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Ratnesh Jain has authored 135 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 41 papers in Biomaterials and 39 papers in Biomedical Engineering. Recurrent topics in Ratnesh Jain's work include Nanoparticle-Based Drug Delivery (20 papers), Protein purification and stability (18 papers) and Advanced Drug Delivery Systems (18 papers). Ratnesh Jain is often cited by papers focused on Nanoparticle-Based Drug Delivery (20 papers), Protein purification and stability (18 papers) and Advanced Drug Delivery Systems (18 papers). Ratnesh Jain collaborates with scholars based in India, United States and Germany. Ratnesh Jain's co-authors include Prajakta Dandekar, Vandana Patravale, Sathish Dyawanapelly, Abhishek Indurkar, Prachi Bangde, Aparna Deshpande, Ananda J. Jadhav, Parag R. Nemade, Dipak V. Pinjari and Geeta Vanage and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Analytical Biochemistry.

In The Last Decade

Ratnesh Jain

128 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ratnesh Jain India 28 844 732 639 366 328 135 2.5k
Prajakta Dandekar India 29 947 1.1× 728 1.0× 630 1.0× 378 1.0× 352 1.1× 128 2.6k
Yunmei Song Australia 25 572 0.7× 584 0.8× 457 0.7× 357 1.0× 267 0.8× 99 2.0k
Thai Thanh Hoang Thi Vietnam 25 980 1.2× 806 1.1× 774 1.2× 230 0.6× 459 1.4× 58 2.6k
Ismaeil Haririan Iran 28 968 1.1× 638 0.9× 395 0.6× 322 0.9× 282 0.9× 90 2.3k
Andreia C. Gomes Portugal 33 1.1k 1.3× 896 1.2× 1.3k 2.0× 243 0.7× 366 1.1× 147 3.8k
Vinoth‐Kumar Lakshmanan India 25 915 1.1× 576 0.8× 572 0.9× 353 1.0× 344 1.0× 59 2.3k
Ali Seyfoddin New Zealand 24 551 0.7× 679 0.9× 376 0.6× 626 1.7× 204 0.6× 51 2.5k
Ali Mohammad Tamaddon Iran 30 812 1.0× 636 0.9× 948 1.5× 389 1.1× 509 1.6× 153 2.9k
Wael Samy Egypt 16 1.1k 1.3× 575 0.8× 918 1.4× 429 1.2× 246 0.8× 40 2.5k
Peixue Ling China 29 700 0.8× 418 0.6× 949 1.5× 241 0.7× 161 0.5× 105 2.7k

Countries citing papers authored by Ratnesh Jain

Since Specialization
Citations

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

Fields of papers citing papers by Ratnesh Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ratnesh Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Ratnesh Jain. A scholar is included among the top collaborators of Ratnesh Jain 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 Ratnesh Jain. Ratnesh Jain 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.
Jain, Ratnesh, et al.. (2025). Cryopreservation of human lung adenocarcinoma spheroids using MMC based cryomixtures. Journal of Biomaterials Science Polymer Edition. 36(15). 2311–2332.
2.
Jain, Ratnesh, et al.. (2024). Enhancing monoclonal antibody stability during protein a chromatography using 2-methyl imidazolium dihydrogen phosphate. Journal of Chromatography A. 1733. 465263–465263.
3.
More, Mahesh P., Prachi Bangde, Abhijeet Pandey, et al.. (2024). Design and development of folic acid engineered magnetic graphene oxide nanosheets for selective synergistic chemophotothermal inhibition of lung cancer cell. Journal of Drug Delivery Science and Technology. 93. 105404–105404. 2 indexed citations
4.
5.
Jain, Ratnesh, et al.. (2023). In vitro triple culture model of retinoblastoma for pre‐clinical investigations. Biotechnology Journal. 18(5). 1 indexed citations
6.
Dandekar, Prajakta, et al.. (2022). Extrusion-based sustainable 3D bioprinting of meat & its analogues: A review. Bioprinting. 29. e00256–e00256. 19 indexed citations
7.
Dandekar, Prajakta, et al.. (2022). Exploring the potential of machine learning for more efficient development and production of biopharmaceuticals. Biotechnology Progress. 38(6). e3291–e3291. 36 indexed citations
8.
Jain, Ratnesh, et al.. (2022). FcγRIIIA affinity chromatography complements conventional functional characterization of rituximab. Biotechnology Progress. 39(1). e3304–e3304.
9.
Chirmule, Narendra, et al.. (2022). Advanced strategies in glycosylation prediction and control during biopharmaceutical development: Avenues toward industry 4.0. Biotechnology Progress. 38(5). e3283–e3283. 4 indexed citations
10.
Jain, Ratnesh, et al.. (2022). Development and optimization of a LC-MS based multi-attribute method (MAM) workflow for characterization of therapeutic Fc-fusion protein. Analytical Biochemistry. 660. 114969–114969. 10 indexed citations
11.
12.
Jain, Ratnesh, et al.. (2021). Chitosan based microcarriers for cellular growth and biologics production. Carbohydrate Polymer Technologies and Applications. 2. 100154–100154. 1 indexed citations
13.
Bangde, Prachi, et al.. (2021). Chitosan/gelatin/PVA membranes for mammalian cell culture. Carbohydrate Polymer Technologies and Applications. 2. 100163–100163. 18 indexed citations
14.
Kumar, Chandan, Haladhar Dev Sarma, Sudipta Chakraborty, et al.. (2021). A facile strategy for synthesis of a broad palette of intrinsically radiolabeled chitosan nanoparticles for potential use in cancer theranostics. Journal of Drug Delivery Science and Technology. 63. 102485–102485. 17 indexed citations
15.
Deshpande, Aparna, et al.. (2020). Structure–Activity Relationship of Polyester-Based Cationic Polyrotaxane Vector-Mediated In Vitro siRNA Delivery: Effect on Gene Silencing Efficiency. ACS Applied Bio Materials. 3(11). 7500–7514. 8 indexed citations
16.
Deshpande, Aparna, Deepak Modi, Sadhana Sathaye, et al.. (2020). In Vivo Studies of 3D Starch–Gelatin Scaffolds for Full-Thickness Wound Healing. ACS Applied Bio Materials. 3(5). 2920–2929. 27 indexed citations
17.
Kumar, Virendra, Anil K. Debnath, Debasis Sen, et al.. (2020). Nanodiamonds as a state-of-the-art material for enhancing the gamma radiation resistance properties of polymeric membranes. Nanoscale Advances. 2(3). 1214–1227. 10 indexed citations
18.
Pal, Avishek, Balaji P. Mandal, K.A. Dubey, et al.. (2020). Polysulfone-Gd2Zr2O7 mixed-matrix membranes with superior radiation resistant properties: Fabrication and application of a membrane device for radioactive effluent treatment. Chemical Engineering Journal Advances. 1. 100006–100006. 4 indexed citations
19.
Lenka, R.K., Narender Kumar Goel, Sanjay Kumar, et al.. (2020). Enhancement of γ-radiation stability of polysulfone membrane matrix by reinforcement of hybrid nanomaterials of nanodiamond and ceria. Materials Advances. 1(5). 1220–1231. 5 indexed citations
20.

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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