Sonali Rawat
Impact in
-
- MicroRNA in disease regulation
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Extracellular vesicles in disease 3
- Genetics 5
- Mesenchymal stem cell research 5
- Co-authors
- Jonathan Chernoff (6 shared papers)Sujata Mohanty (13 shared papers)Suchi Gupta (5 shared papers)Tatiana Y. Prudnikova (3 shared papers)Baibaswata Nayak (1 shared paper)Vivek Arora (1 shared paper)Amit Kumar Dinda (1 shared paper)Jeffrey R. Peterson (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Journal of Biological Chemistry (2 papers)Clinical Cancer Research (1 paper)Human Vaccines & Immunotherapeutics (1 paper)Current Biology (1 paper)
- Partner nations
- IndiaUnited StatesNorway
In The Last Decade
Sonali Rawat
22 papers receiving 630 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 142
- Cell Biology 133
- Molecular Biology 404
- Genetics 58
- Biomaterials 43
Countries citing papers authored by Sonali Rawat
This map shows the geographic impact of Sonali Rawat'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 Sonali Rawat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonali Rawat more than expected).
Fields of papers citing papers by Sonali Rawat
This network shows the impact of papers produced by Sonali Rawat. 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 Sonali Rawat. The network helps show where Sonali Rawat may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonali Rawat, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 185 | |
| 2 | 2015 | 67 | |
| 3 | 2013 | 54 | |
| 4 | 2014 | 46 | |
| 5 | 2022 | 30 | |
| 6 | 2024 | 29 | |
| 7 | 2020 | 29 | |
| 8 | 2016 | 27 | |
| 9 | 2015 | 25 | |
| 10 | 2021 | 23 | |
| 11 | 2013 | 21 | |
| 12 | 2022 | 19 | |
| 13 | 2020 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2021 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2024 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2024 | 4 | |
| 20 | 2019 | 1 |
About Sonali Rawat
Sonali Rawat is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Biomaterials and Cancer Research, having authored 22 papers that have together received 632 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), MicroRNA in disease regulation (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Graphene and Nanomaterials Applications (3 papers), Extracellular vesicles in disease (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Hepatitis B Virus Studies (2 papers) and Bone Tissue Engineering Materials (2 papers). The work is most often cited by research in Cancer Research (142 citations), Cell Biology (133 citations), Molecular Biology (404 citations), Genetics (58 citations) and Biomaterials (43 citations). Sonali Rawat has collaborated with scholars based in India, United States and Norway. Frequent co-authors include Jonathan Chernoff, Sujata Mohanty, Suchi Gupta, Tatiana Y. Prudnikova, Baibaswata Nayak, Vivek Arora, Amit Kumar Dinda, Jeffrey R. Peterson, Caretha L. Creasy and Olga Villamar‐Cruz. Their work appears in journals such as Frontiers in Immunology, Journal of Biological Chemistry, Clinical Cancer Research, Human Vaccines & Immunotherapeutics and Current Biology.
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.