Swati Agarwal
- Molecular Biology
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Developmental Neuroscience top 2%
- Health, Toxicology and Mutagenesis top 5%
- Co-authors
- Rajnish Kumar ChaturvediShashi Kant TiwariAnuradha YadavSuphiya KhanBrashket SethLalit Kumar Singh ChauhanAnurag TripathiShailendra K. Gupta
- Topics
- Lubricants and Their Additives (7 papers)Biodiesel Production and Applications (6 papers)Neurogenesis and neuroplasticity mechanisms (4 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaACS Nano
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Swati Agarwal
52 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 148
- Molecular Biology 512
- Physiology 315
- Cellular and Molecular Neuroscience 231
- Developmental Neuroscience 227
- Health, Toxicology and Mutagenesis 223
Countries citing papers authored by Swati Agarwal
This map shows the geographic impact of Swati 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 Swati Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swati Agarwal more than expected).
Fields of papers citing papers by Swati Agarwal
This network shows the impact of papers produced by Swati 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 Swati Agarwal. The network helps show where Swati Agarwal may publish in the future.
Co-authorship network of co-authors of Swati Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Swati Agarwal. A scholar is included among the top collaborators of Swati Agarwal 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 Swati Agarwal. Swati Agarwal 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 | 0 | |
| 3 | 31 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 6 | |
| 9 | 35 | |
| 10 | 64 | |
| 11 | 86 | |
| 12 | 145 | |
| 13 | 103 | |
| 14 | 17 | |
| 15 | 59 | |
| 16 | 55 | |
| 17 | 13 | |
| 18 | 51 | |
| 19 | 8 | |
| 20 | 114 |
About Swati Agarwal
Swati Agarwal is a scholar working on Developmental Neuroscience, Emergency Medical Services and Molecular Medicine, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lubricants and Their Additives (7 papers), Biodiesel Production and Applications (6 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (227 citations), Molecular Medicine (213 citations) and Emergency Medical Services (159 citations). Swati Agarwal has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Rajnish Kumar Chaturvedi, Shashi Kant Tiwari, Anuradha Yadav, Suphiya Khan, Brashket Seth, Lalit Kumar Singh Chauhan, Anurag Tripathi, Shailendra K. Gupta, Madhumita Karmakar and Paul J. Sharek. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and ACS Nano.
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.