Neeraj Upmanyu
- Pharmaceutical Science top 1%
- Organic Chemistry top 10%
- Molecular Biology
- Food Science top 10%
- Plant Science
- Co-authors
- Tripti ShuklaKamal ShahSwarnlata SarafAmit AlexanderMukta AgrawalShailendra SarafJeetendra Kumar GuptaNagendra Singh Chauhan
- Topics
- Synthesis and biological activity (13 papers)Advanced Drug Delivery Systems (10 papers)Advancements in Transdermal Drug Delivery (10 papers)
- Partner nations
- IndiaUnited StatesBulgaria
In The Last Decade
Neeraj Upmanyu
73 papers receiving 738 citations
Peers
Comparison fields: 5 of 118
- Pharmaceutical Science 258
- Organic Chemistry 186
- Molecular Biology 174
- Food Science 100
- Plant Science 77
Countries citing papers authored by Neeraj Upmanyu
This map shows the geographic impact of Neeraj Upmanyu'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 Neeraj Upmanyu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neeraj Upmanyu more than expected).
Fields of papers citing papers by Neeraj Upmanyu
This network shows the impact of papers produced by Neeraj Upmanyu. 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 Neeraj Upmanyu. The network helps show where Neeraj Upmanyu may publish in the future.
Co-authorship network of co-authors of Neeraj Upmanyu
This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Upmanyu. A scholar is included among the top collaborators of Neeraj Upmanyu 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 Neeraj Upmanyu. Neeraj Upmanyu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 71 | |
| 7 | 6 | |
| 8 | 146 | |
| 9 | PREVALENCE AND RISK FACTOR OF POLYCYSTIC OVARIAN SYNDROME | 3 |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 16 | |
| 14 | 30 | |
| 15 | SYNTHESIS AND ANTIMICROBIAL EVALUATION OF 3,5- PYRAZOLIDINE-DIONE SUBSTITUTED 4-QUINOLONE DERIVATIVES | 4 |
| 16 | In-vitro Anti-arthritic Activity of Manilkara zapota Linn | 23 |
| 17 | Formulation and evaluation of effervescent floating tablet of levofloxacin | 2 |
| 18 | 26 | |
| 19 | Ethanobotanical and Ethanopharmacological profile of Abutilon indicum Linn: A Review | 2 |
| 20 | Pyrazolines as Promising Medicinal Agents | 1 |
About Neeraj Upmanyu
Neeraj Upmanyu is a scholar working on Drug Discovery, Pharmaceutical Science and Complementary and alternative medicine, having authored 78 papers that have together received 787 indexed citations. Recurring topics across this work include Synthesis and biological activity (13 papers), Advanced Drug Delivery Systems (10 papers) and Advancements in Transdermal Drug Delivery (10 papers). The work is most often cited by research in Pharmaceutical Science (258 citations), Drug Discovery (3 citations) and Complementary and alternative medicine (72 citations). Neeraj Upmanyu has collaborated with scholars based in India, United States and Bulgaria. Frequent co-authors include Tripti Shukla, Kamal Shah, Swarnlata Saraf, Amit Alexander, Mukta Agrawal, Shailendra Saraf, Jeetendra Kumar Gupta, Nagendra Singh Chauhan, Pradeep Mishra and Sushant K. Shrivastava. Their work appears in journals such as Journal of Cell Science, Journal of Pharmaceutical Sciences and Biomedicine & Pharmacotherapy.
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.