Ravi Sirdeshmukh
- Molecular Biology top 10%
- RNA modifications and cancer 16
- RNA and protein synthesis mechanisms 13
- RNA Research and Splicing 8
- S100 Proteins and Annexins 6
- Machine Learning in Bioinformatics 5
- Periodontics top 5%
- Cancer Research top 10%
- Genetics top 10%
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications 13
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- Peptidase Inhibition and Analysis 8
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- Ferroptosis and cancer prognosis 6
- Co-authors
- Manoj Kumar GuptaPoonam GautamDavid SchlessingerRavindra Varma PolisettyB. S. N. MurthyHarsha GowdaTaruna MadanP. Usha Sarma
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (3 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Ravi Sirdeshmukh
72 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 985
- Periodontics 54
- Cancer Research 167
- Genetics 110
- Spectroscopy 170
Countries citing papers authored by Ravi Sirdeshmukh
This map shows the geographic impact of Ravi Sirdeshmukh'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 Ravi Sirdeshmukh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Sirdeshmukh more than expected).
Fields of papers citing papers by Ravi Sirdeshmukh
This network shows the impact of papers produced by Ravi Sirdeshmukh. 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 Ravi Sirdeshmukh. The network helps show where Ravi Sirdeshmukh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ravi Sirdeshmukh, 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 | 2024 | 1 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 11 | |
| 8 | 2019 | 55 | |
| 9 | 2019 | 25 | |
| 10 | 2018 | 17 | |
| 11 | 2016 | 13 | |
| 12 | 2015 | 68 | |
| 13 | 2015 | 8 | |
| 14 | 2015 | 19 | |
| 15 | 2013 | 10 | |
| 16 | Assessment of various risk factors of breast cancer | 2013 | 7 |
| 17 | 2013 | 34 | |
| 18 | 2011 | 29 | |
| 19 | 2007 | 14 | |
| 20 | 1995 | 10 |
About Ravi Sirdeshmukh
Ravi Sirdeshmukh is a scholar working on Spectroscopy, Molecular Biology and Periodontics, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (16 papers), RNA and protein synthesis mechanisms (13 papers), Advanced Proteomics Techniques and Applications (13 papers), Peptidase Inhibition and Analysis (8 papers), RNA Research and Splicing (8 papers), Ferroptosis and cancer prognosis (6 papers), S100 Proteins and Annexins (6 papers) and Machine Learning in Bioinformatics (5 papers). The work is most often cited by research in Molecular Biology (985 citations), Periodontics (54 citations) and Cancer Research (167 citations). Ravi Sirdeshmukh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Manoj Kumar Gupta, Poonam Gautam, David Schlessinger, Ravindra Varma Polisetty, B. S. N. Murthy, Harsha Gowda, Taruna Madan, P. Usha Sarma, Curam S. Sundaram and Avvaru N. Suhasini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.