Prashant Agarwal
Impact in
-
- Trauma, Hemostasis, Coagulopathy, Resuscitation
- Hepatology top 10%
- Liver Disease and Transplantation
Papers in
- Co-authors
- Lalit Prasad (2 shared papers)Darren L. Reid (3 shared papers)James E. Huckle (1 shared paper)Rakesh K. Gupta (1 shared paper)Guresh Kumar (1 shared paper)Meenu Bajpai (1 shared paper)Shiv Kumar Sarin (1 shared paper)Narendra Krishnani (1 shared paper)
- Journals
- Drug Discovery Today (2 papers)Journal of Forensic Sciences (2 papers)Neuroradiology (1 paper)European Journal of Pharmaceutical Sciences (1 paper)Transfusion Medicine (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Prashant Agarwal
12 papers receiving 367 citations
Peers
Comparison fields: 5 of 88
- Critical Care and Intensive Care Medicine 64
- Hepatology 80
- Safety Research 81
- Biochemistry 35
- Management of Technology and Innovation 24
Countries citing papers authored by Prashant Agarwal
This map shows the geographic impact of Prashant Agarwal'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 Prashant Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Agarwal more than expected).
Fields of papers citing papers by Prashant Agarwal
This network shows the impact of papers produced by Prashant Agarwal. 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 Prashant Agarwal. The network helps show where Prashant Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashant Agarwal, 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 | 2019 | 115 | |
| 2 | 2019 | 71 | |
| 3 | 2022 | 50 | |
| 4 | 1996 | 45 | |
| 5 | 2021 | 27 | |
| 6 | 2005 | 22 | |
| 7 | 2020 | 18 | |
| 8 | 2020 | 12 | |
| 9 | 2015 | 9 | |
| 10 | 2020 | 6 | |
| 11 | 2016 | 5 | |
| 12 | A New Disease on Uraria picta and its Chemical Control | 2012 | 1 |
| 13 | 2024 | 0 |
About Prashant Agarwal
Prashant Agarwal is a scholar working on Computer Networks and Communications, Molecular Biology, Genetics, Pharmaceutical Science and Signal Processing, having authored 13 papers that have together received 381 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (2 papers), Computational Drug Discovery Methods (2 papers), Blood transfusion and management (2 papers), Forensic Fingerprint Detection Methods (2 papers), Blood donation and transfusion practices (2 papers), Drug Solubulity and Delivery Systems (1 paper), Data Management and Algorithms (1 paper) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (64 citations), Hepatology (80 citations), Safety Research (81 citations), Biochemistry (35 citations) and Management of Technology and Innovation (24 citations). Prashant Agarwal has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Lalit Prasad, Darren L. Reid, James E. Huckle, Rakesh K. Gupta, Guresh Kumar, Meenu Bajpai, Shiv Kumar Sarin, Narendra Krishnani, Lalita Gouri Mitra and Manoj Kumar. Their work appears in journals such as Drug Discovery Today, Journal of Forensic Sciences, Neuroradiology, European Journal of Pharmaceutical Sciences and Transfusion Medicine.
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.