Tushar Jain

2.6k total citations · 1 hit paper
39 papers, 1.8k citations indexed

About

Tushar Jain is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Materials Chemistry. According to data from OpenAlex, Tushar Jain has authored 39 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Materials Chemistry. Recurrent topics in Tushar Jain's work include Protein purification and stability (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 papers). Tushar Jain is often cited by papers focused on Protein purification and stability (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 papers). Tushar Jain collaborates with scholars based in United States, India and Germany. Tushar Jain's co-authors include Juan Pablo, Maximiliano Vásquez, Yingda Xu, Paul F. Nealey, Kenji Yoshimoto, Heather Lynaugh, Isabelle Caffry, Tingwan Sun, K. Dane Wittrup and Yao Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Tushar Jain

35 papers receiving 1.7k citations

Hit Papers

Biophysical properties of the clinical-stage antibody lan... 2017 2026 2020 2023 2017 100 200 300 400

Peers

Tushar Jain
Frank Scholz Germany
Likai Song United States
Htet A. Khant United States
Eric Sun United States
Thomas H. Sharp Netherlands
Krishanu Ray United States
Peter L. Gor’kov United States
Jong Bum Lee South Korea
Frank Scholz Germany
Tushar Jain
Citations per year, relative to Tushar Jain Tushar Jain (= 1×) peers Frank Scholz

Countries citing papers authored by Tushar Jain

Since Specialization
Citations

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

Fields of papers citing papers by Tushar Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tushar Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Tushar Jain. A scholar is included among the top collaborators of Tushar 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 Tushar Jain. Tushar 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.
Yadavalli, Nataraja Sekhar, et al.. (2025). Strategies for fabricating aligned nano- and microfiber scaffolds: an overview for cell culture applications. Nanoscale. 17(36). 20670–20703.
2.
Jain, Tushar & Benjamin Heyman. (2025). Updates on the Treatment of Richter’s Syndrome, Including Novel Combination Approaches. Cancers. 17(6). 943–943.
3.
Jain, Tushar, et al.. (2023). Identifying developability risks for clinical progression of antibodies using high-throughput in vitro and in silico approaches. mAbs. 15(1). 2200540–2200540. 31 indexed citations
4.
Jain, Tushar, Pankaj Mishra, Sushil Kumar, Gautam Panda, & Dibyendu Banerjee. (2023). Molecular dissection studies of TAC1, a transcription activator of Candida drug resistance genes of the human pathogenic fungus Candida albicans. Frontiers in Microbiology. 14. 994873–994873. 4 indexed citations
5.
Vaishali & Tushar Jain. (2020). Hypothyroidism in dog: A case report. Journal of Entomology and Zoology Studies. 8(1). 1581–1582.
6.
Jain, Tushar, et al.. (2020). Chronic renal failure in dogs: A case report. Journal of Entomology and Zoology Studies. 8(1). 470–471.
7.
Lu, Xiaojun, R. Paul Nobrega, Heather Lynaugh, et al.. (2018). Deamidation and isomerization liability analysis of 131 clinical-stage antibodies. mAbs. 11(1). 45–57. 97 indexed citations
8.
Jain, Tushar, Tingwan Sun, Stéphanie Durand, et al.. (2017). Biophysical properties of the clinical-stage antibody landscape. Proceedings of the National Academy of Sciences. 114(5). 944–949. 412 indexed citations breakdown →
9.
Jain, Tushar, Asparouh Lilov, Irina Burnina, et al.. (2017). Prediction of delayed retention of antibodies in hydrophobic interaction chromatography from sequence using machine learning. Bioinformatics. 33(23). 3758–3766. 43 indexed citations
10.
Jain, Tushar, et al.. (2017). BENDING STRESS AND THERMAL ANALYSIS OF SPUR GEARBY USING FEM. JournalNX - A Multidisciplinary Peer Reviewed Journal. 70–73. 2 indexed citations
11.
Estep, Patricia A., Isabelle Caffry, Yao Yu, et al.. (2015). An alternative assay to hydrophobic interaction chromatography for high-throughput characterization of monoclonal antibodies. mAbs. 7(3). 553–561. 48 indexed citations
12.
Liu, Yuqi, Isabelle Caffry, Jiemin Wu, et al.. (2013). High-throughput screening for developability during early-stage antibody discovery using self-interaction nanoparticle spectroscopy. mAbs. 6(2). 483–492. 103 indexed citations
13.
Xu, Yingda, William P. Roach, Tushar Jain, et al.. (2013). Addressing polyspecificity of antibodies selected from an in vitro yeast presentation system: a FACS-based, high-throughput selection and analytical tool. Protein Engineering Design and Selection. 26(10). 663–670. 119 indexed citations
14.
Jain, Tushar & Jit Muthuswamy. (2008). Microelectrode Array (MEA) Platform for Targeted Neuronal Transfection and Recording. IEEE Transactions on Biomedical Engineering. 55(2). 827–832. 13 indexed citations
15.
Cerutti, David S., Tushar Jain, & J. Andrew McCammon. (2006). CIRSE: A solvation energy estimator compatible with flexible protein docking and design applications. Protein Science. 15(7). 1579–1596. 11 indexed citations
16.
Muthuswamy, Jit, et al.. (2005). Electrostatic Microactuators for Precise Positioning of Neural Microelectrodes. IEEE Transactions on Biomedical Engineering. 52(10). 1748–1755. 48 indexed citations
17.
Muthuswamy, Jit, et al.. (2005). An Array of Microactuated Microelectrodes for Monitoring Single-Neuronal Activity in Rodents. IEEE Transactions on Biomedical Engineering. 52(8). 1470–1477. 40 indexed citations
18.
Yoshimoto, Kenji, Tushar Jain, Paul F. Nealey, & Juan Pablo. (2005). Local dynamic mechanical properties in model free-standing polymer thin films. The Journal of Chemical Physics. 122(14). 144712–144712. 74 indexed citations
19.
Yoshimoto, Kenji, Tushar Jain, Kevin Van Workum, Paul F. Nealey, & Juan Pablo. (2004). Mechanical Heterogeneities in Model Polymer Glasses at Small Length Scales. Physical Review Letters. 93(17). 175501–175501. 206 indexed citations
20.
Yan, Qiliang, Tushar Jain, & Juan Pablo. (2004). Density-of-States Monte Carlo Simulation of a Binary Glass. Physical Review Letters. 92(23). 235701–235701. 45 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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