Deep Kwatra
Impact in
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in ⓘ
- Oncology 15
- Drug Transport and Resistance Mechanisms 10
- Cancer Cells and Metastasis 3
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- Magnolia and Illicium research 3
- Co-authors
- Shrikant Anant (14 shared papers)Anand Venugopal (6 shared papers)Ashim K. Mitra (10 shared papers)Dhananjay Pal (11 shared papers)Ramya Krishna Vadlapatla (5 shared papers)Aswani Dutt Vadlapudi (5 shared papers)Dharmalingam Subramaniam (8 shared papers)Mukul Minocha (2 shared papers)
- Journals
- International Journal of Pharmaceutics (8 papers)Cancer Research (3 papers)Molecular Pharmaceutics (2 papers)Journal of Pharmaceutical Sciences (1 paper)Carcinogenesis (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Deep Kwatra
26 papers receiving 786 citations
Peers
Comparison fields: 5 of 99
- Pharmaceutical Science 80
- Biomaterials 111
- Pharmacology 72
- Oncology 195
- Virology 30
Countries citing papers authored by Deep Kwatra
This map shows the geographic impact of Deep Kwatra'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 Deep Kwatra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deep Kwatra more than expected).
Fields of papers citing papers by Deep Kwatra
This network shows the impact of papers produced by Deep Kwatra. 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 Deep Kwatra. The network helps show where Deep Kwatra may publish in the future.
Co-authors
The 25 scholars most cited alongside Deep Kwatra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 239 | |
| 2 | 2010 | 76 | |
| 3 | 2013 | 58 | |
| 4 | 2015 | 45 | |
| 5 | 2012 | 41 | |
| 6 | 2010 | 35 | |
| 7 | 2013 | 35 | |
| 8 | 2012 | 30 | |
| 9 | 2009 | 29 | |
| 10 | 2008 | 27 | |
| 11 | 2010 | 27 | |
| 12 | 2014 | 22 | |
| 13 | 2011 | 20 | |
| 14 | 2011 | 20 | |
| 15 | 2013 | 19 | |
| 16 | 2012 | 18 | |
| 17 | 2016 | 13 | |
| 18 | 2014 | 12 | |
| 19 | 2016 | 12 | |
| 20 | 2021 | 11 |
About Deep Kwatra
Deep Kwatra is a scholar working on Oncology, Rehabilitation, Virology, Pharmacology and Pharmaceutical Science, having authored 28 papers that have together received 810 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (10 papers), Pharmacological Effects and Toxicity Studies (6 papers), HIV/AIDS drug development and treatment (5 papers), Pharmacogenetics and Drug Metabolism (3 papers), Magnolia and Illicium research (3 papers), Cancer Cells and Metastasis (3 papers), HIV Research and Treatment (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Pharmaceutical Science (80 citations), Biomaterials (111 citations), Pharmacology (72 citations), Oncology (195 citations) and Virology (30 citations). Deep Kwatra has collaborated with scholars based in United States and India. Frequent co-authors include Shrikant Anant, Anand Venugopal, Ashim K. Mitra, Dhananjay Pal, Ramya Krishna Vadlapatla, Aswani Dutt Vadlapudi, Dharmalingam Subramaniam, Mukul Minocha, Ashim K. Mitra and David Standing. Their work appears in journals such as International Journal of Pharmaceutics, Cancer Research, Molecular Pharmaceutics, Journal of Pharmaceutical Sciences and Carcinogenesis.
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.