Tushar Jain
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- Monoclonal and Polyclonal Antibodies Research 13
- Condensed Matter Physics top 10%
- Theoretical and Computational Physics 4
- Molecular Biology top 10%
- Protein purification and stability 14
- Viral Infectious Diseases and Gene Expression in Insects 9
- Ceramics and Composites top 10%
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- Material Dynamics and Properties 9
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- Phase Equilibria and Thermodynamics 4
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- Neuroscience and Neural Engineering 4
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- Liquid Crystal Research Advancements 3
Tushar Jain
35 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Radiology, Nuclear Medicine and Imaging 885
- Condensed Matter Physics 168
- Molecular Biology 993
- Fluid Flow and Transfer Processes 79
- Ceramics and Composites 72
Countries citing papers authored by Tushar Jain
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
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
The 25 scholars most cited alongside Tushar Jain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 31 | |
| 4 | 2023 | 4 | |
| 5 | Hypothyroidism in dog: A case report | 2020 | 0 |
| 6 | Chronic renal failure in dogs: A case report | 2020 | 0 |
| 7 | 2018 | 97 | |
| 8 | Biophysical properties of the clinical-stage antibody landscapebreakdown → | 2017 | 412 |
| 9 | 2017 | 43 | |
| 10 | BENDING STRESS AND THERMAL ANALYSIS OF SPUR GEARBY USING FEM | 2017 | 2 |
| 11 | 2015 | 48 | |
| 12 | 2013 | 103 | |
| 13 | 2013 | 119 | |
| 14 | 2008 | 13 | |
| 15 | 2006 | 11 | |
| 16 | 2005 | 48 | |
| 17 | 2005 | 40 | |
| 18 | 2005 | 74 | |
| 19 | 2004 | 206 | |
| 20 | 2004 | 45 |
About Tushar Jain
Tushar Jain is a scholar working on Radiology, Nuclear Medicine and Imaging, Condensed Matter Physics and Fluid Flow and Transfer Processes, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein purification and stability (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers), Material Dynamics and Properties (9 papers), Theoretical and Computational Physics (4 papers), Phase Equilibria and Thermodynamics (4 papers), Neuroscience and Neural Engineering (4 papers) and Liquid Crystal Research Advancements (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (885 citations), Condensed Matter Physics (168 citations) and Molecular Biology (993 citations). Tushar Jain has collaborated with scholars based in United States, India and Germany. Frequent 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. Their work appears in journals such as mAbs, The Journal of Chemical Physics, Physical Review Letters, IEEE Transactions on Biomedical Engineering and Protein Science.
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.