Richa Rawat
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
-
- Tuberculosis Research and Epidemiology 3
- Co-authors
- Peter J. Tonge (4 shared papers)Adrian Whitty (1 shared paper)S. Ashraf Ahmed (3 shared papers)Subramanyam Swaminathan (3 shared papers)John Shanklin (2 shared papers)Xiaohong Yu (2 shared papers)D. Kumaran (2 shared papers)Xujie Zhang (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)BMC Plant Biology (1 paper)Protein Expression and Purification (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesIndiaMalaysia
In The Last Decade
Richa Rawat
12 papers receiving 573 citations
Peers
Comparison fields: 5 of 77
- Molecular Medicine 73
- Infectious Diseases 189
- Neurology 105
- Biochemistry 47
- Molecular Biology 332
Countries citing papers authored by Richa Rawat
This map shows the geographic impact of Richa 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 Richa Rawat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richa Rawat more than expected).
Fields of papers citing papers by Richa Rawat
This network shows the impact of papers produced by Richa 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 Richa Rawat. The network helps show where Richa Rawat may publish in the future.
Co-authors
The 22 scholars most cited alongside Richa 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
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 268 | |
| 2 | 2006 | 98 | |
| 3 | 2008 | 53 | |
| 4 | 2011 | 52 | |
| 5 | 2008 | 50 | |
| 6 | 2012 | 26 | |
| 7 | 2007 | 14 | |
| 8 | 2008 | 10 | |
| 9 | 2007 | 7 | |
| 10 | 2020 | 6 | |
| 11 | Review: Boosting Classifiers For Intrusion Detection | 2013 | 2 |
| 12 | Neuro-Symbolic EDA-Based Optimization Using ILP-Enhanced DBNs. | 2016 | 1 |
About Richa Rawat
Richa Rawat is a scholar working on Molecular Biology, Infectious Diseases, Cellular and Molecular Neuroscience, Neurology and Molecular Medicine, having authored 12 papers that have together received 587 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Hereditary Neurological Disorders (3 papers), Antibiotic Resistance in Bacteria (3 papers), Lipid metabolism and biosynthesis (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Fuzzy Logic and Control Systems (1 paper) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Molecular Medicine (73 citations), Infectious Diseases (189 citations), Neurology (105 citations), Biochemistry (47 citations) and Molecular Biology (332 citations). Richa Rawat has collaborated with scholars based in United States, India and Malaysia. Frequent co-authors include Peter J. Tonge, Adrian Whitty, S. Ashraf Ahmed, Subramanyam Swaminathan, John Shanklin, Xiaohong Yu, D. Kumaran, Xujie Zhang, Christopher F. Stratton and Carlos Simmerling. Their work appears in journals such as Journal of Biological Chemistry, BMC Plant Biology, Protein Expression and Purification, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.