Surendra Jain
Impact in
- Analytical Chemistry top 0.5%
- Analytical Methods in Pharmaceuticals
- Pharmaceutical Science top 1%
- Advanced Drug Delivery Systems
- Drug Solubulity and Delivery Systems
Papers in
-
- Analytical Methods in Pharmaceuticals 30
- Spectroscopy 33
- Analytical Chemistry and Chromatography 30
- Co-authors
- Keith E. Gubbins (8 shared papers)Jorge Pikunic (2 shared papers)G. S. Kapur (12 shared papers)Babu L. Tekwani (9 shared papers)Nilesh Jain (26 shared papers)Ravi K. Misra (3 shared papers)P. K. Khatri (3 shared papers)Roland J.‐M. Pellenq (1 shared paper)
- Journals
- Energy & Fuels (5 papers)Chromatographia (5 papers)Fuel (4 papers)Indian Journal of Pharmaceutical Sciences (3 papers)Langmuir (2 papers)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Surendra Jain
154 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 148
- Analytical Chemistry 481
- Pharmaceutical Science 293
- Spectroscopy 333
- Inorganic Chemistry 229
- Pharmacology 125
Countries citing papers authored by Surendra Jain
This map shows the geographic impact of Surendra 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 Surendra Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surendra Jain more than expected).
Fields of papers citing papers by Surendra Jain
This network shows the impact of papers produced by Surendra 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 Surendra Jain. The network helps show where Surendra Jain may publish in the future.
Co-authors
The 25 scholars most cited alongside Surendra 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
Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 168 | |
| 2 | 2006 | 116 | |
| 3 | 2010 | 113 | |
| 4 | 2012 | 108 | |
| 5 | 1995 | 92 | |
| 6 | 2010 | 89 | |
| 7 | 2008 | 87 | |
| 8 | 2017 | 71 | |
| 9 | 2019 | 62 | |
| 10 | 2013 | 61 | |
| 11 | 1985 | 57 | |
| 12 | 1997 | 54 | |
| 13 | 2013 | 53 | |
| 14 | 2007 | 51 | |
| 15 | 1996 | 50 | |
| 16 | 2014 | 46 | |
| 17 | 2010 | 45 | |
| 18 | 2018 | 44 | |
| 19 | 2017 | 41 | |
| 20 | 2006 | 41 |
About Surendra Jain
Surendra Jain is a scholar working on Analytical Chemistry, Spectroscopy, Organic Chemistry, Pharmacology and Biomedical Engineering, having authored 176 papers that have together received 2.8k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (30 papers), Analytical Methods in Pharmaceuticals (30 papers), Antibiotics Pharmacokinetics and Efficacy (18 papers), Drug Solubulity and Delivery Systems (15 papers), Synthesis and biological activity (10 papers), Phase Equilibria and Thermodynamics (9 papers), Advanced Drug Delivery Systems (9 papers) and Research on Leishmaniasis Studies (9 papers). The work is most often cited by research in Analytical Chemistry (481 citations), Pharmaceutical Science (293 citations), Spectroscopy (333 citations), Inorganic Chemistry (229 citations) and Pharmacology (125 citations). Surendra Jain has collaborated with scholars based in India, United States and China. Frequent co-authors include Keith E. Gubbins, Jorge Pikunic, G. S. Kapur, Babu L. Tekwani, Nilesh Jain, Ravi K. Misra, P. K. Khatri, Roland J.‐M. Pellenq, Benoît Coasne and Larry Walker. Their work appears in journals such as Energy & Fuels, Chromatographia, Fuel, Indian Journal of Pharmaceutical Sciences and Langmuir.
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.