Ajit Singh
Impact in
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
- Epidemiology 25
- Trypanosoma species research and implications 13
- Co-authors
- Rahul Shukla (18 shared papers)Danlin Yang (3 shared papers)Rachel Kroe‐Barrett (3 shared papers)Om Prakash Katare (1 shared paper)Sengodan Gurusamy Vijaya Kumar (1 shared paper)Rahul Kumar Verma (4 shared papers)Parveen Goyal (1 shared paper)Dina Nath Mishra (1 shared paper)
- Journals
- AAPS PharmSciTech (4 papers)Process Biochemistry (3 papers)Vaccine (3 papers)Journal of Bacteriology (3 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- IndiaUnited StatesSint Maarten
In The Last Decade
Ajit Singh
118 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 140
- Pharmaceutical Science 97
- Biomaterials 142
- Molecular Medicine 44
- Parasitology 47
- Microbiology 35
Countries citing papers authored by Ajit Singh
This map shows the geographic impact of Ajit Singh'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 Ajit Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit Singh more than expected).
Fields of papers citing papers by Ajit Singh
This network shows the impact of papers produced by Ajit Singh. 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 Ajit Singh. The network helps show where Ajit Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajit Singh, 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 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Liposomal drug delivery systems--clinical applications. | 2005 | 142 |
| 2 | 2016 | 96 | |
| 3 | 2013 | 69 | |
| 4 | 2013 | 48 | |
| 5 | 2020 | 45 | |
| 6 | 2023 | 41 | |
| 7 | 2021 | 39 | |
| 8 | 2019 | 33 | |
| 9 | 2010 | 32 | |
| 10 | 2021 | 29 | |
| 11 | 2022 | 26 | |
| 12 | 2021 | 24 | |
| 13 | 2017 | 22 | |
| 14 | 2020 | 22 | |
| 15 | 1999 | 21 | |
| 16 | 2022 | 18 | |
| 17 | 2011 | 17 | |
| 18 | 2022 | 16 | |
| 19 | 2010 | 16 | |
| 20 | 2010 | 15 |
About Ajit Singh
Ajit Singh is a scholar working on Molecular Biology, Epidemiology, Ecology, Evolution, Behavior and Systematics, Plant Science and Immunology, having authored 136 papers that have together received 1.2k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (13 papers), Vector-Borne Animal Diseases (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Animal Virus Infections Studies (8 papers), Microbial infections and disease research (8 papers), Botany and Plant Ecology Studies (7 papers), Alzheimer's disease research and treatments (7 papers) and Animal Disease Management and Epidemiology (6 papers). The work is most often cited by research in Pharmaceutical Science (97 citations), Biomaterials (142 citations), Molecular Medicine (44 citations), Parasitology (47 citations) and Microbiology (35 citations). Ajit Singh has collaborated with scholars based in India, United States and Sint Maarten. Frequent co-authors include Rahul Shukla, Danlin Yang, Rachel Kroe‐Barrett, Om Prakash Katare, Sengodan Gurusamy Vijaya Kumar, Rahul Kumar Verma, Parveen Goyal, Dina Nath Mishra, S.J.S. Flora and Prashant Kesharwani. Their work appears in journals such as AAPS PharmSciTech, Process Biochemistry, Vaccine, Journal of Bacteriology and International Journal of Biological Macromolecules.
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.