Atul Rawat
Impact in
- Rehabilitation top 10%
- Wound Healing and Treatments
Papers in
-
- Metabolomics and Mass Spectrometry Studies 13
-
- Liver Disease Diagnosis and Treatment 7
- Co-authors
- Dinesh Kumar (19 shared papers)Sudipta Saha (7 shared papers)Anupam Guleria (8 shared papers)Anand Prakash (9 shared papers)Amit K. Keshari (5 shared papers)Pranesh Kumar (4 shared papers)Ashok Kumar Singh (6 shared papers)Durgesh Dubey (8 shared papers)
- Journals
- Journal of Proteome Research (3 papers)Scientific Reports (2 papers)Magnetic Resonance in Chemistry (2 papers)Diabetes & Metabolic Syndrome Clinical Research & Reviews (1 paper)Neurotherapeutics (1 paper)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Atul Rawat
31 papers receiving 756 citations
Peers
Comparison fields: 5 of 95
- Rehabilitation 61
- Complementary and alternative medicine 64
- Cancer Research 105
- Biochemistry 40
- Pharmacology 49
Countries citing papers authored by Atul Rawat
This map shows the geographic impact of Atul 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 Atul Rawat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atul Rawat more than expected).
Fields of papers citing papers by Atul Rawat
This network shows the impact of papers produced by Atul 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 Atul Rawat. The network helps show where Atul Rawat may publish in the future.
Co-authors
The 25 scholars most cited alongside Atul 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 83 | |
| 2 | 2017 | 80 | |
| 3 | 2016 | 79 | |
| 4 | 2019 | 70 | |
| 5 | 2016 | 67 | |
| 6 | 2021 | 64 | |
| 7 | 2015 | 43 | |
| 8 | 2018 | 33 | |
| 9 | 2017 | 29 | |
| 10 | 2015 | 23 | |
| 11 | 2017 | 22 | |
| 12 | 2018 | 19 | |
| 13 | 2020 | 19 | |
| 14 | 2017 | 19 | |
| 15 | 2017 | 17 | |
| 16 | 2020 | 16 | |
| 17 | 2018 | 14 | |
| 18 | 2021 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2016 | 9 |
About Atul Rawat
Atul Rawat is a scholar working on Molecular Biology, Epidemiology, Cellular and Molecular Neuroscience, Rehabilitation and Complementary and alternative medicine, having authored 33 papers that have together received 767 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (13 papers), Liver Disease Diagnosis and Treatment (7 papers), Wound Healing and Treatments (4 papers), Nerve injury and regeneration (3 papers), Cancer, Lipids, and Metabolism (3 papers), Traditional Chinese Medicine Studies (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Rehabilitation (61 citations), Complementary and alternative medicine (64 citations), Cancer Research (105 citations), Biochemistry (40 citations) and Pharmacology (49 citations). Atul Rawat has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Dinesh Kumar, Sudipta Saha, Anupam Guleria, Anand Prakash, Amit K. Keshari, Pranesh Kumar, Ashok Kumar Singh, Durgesh Dubey, Umesh Kumar and Subhadeep Roy. Their work appears in journals such as Journal of Proteome Research, Scientific Reports, Magnetic Resonance in Chemistry, Diabetes & Metabolic Syndrome Clinical Research & Reviews and Neurotherapeutics.
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.