Ravi R. Iyer
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- Genetic factors in colorectal cancer 13
- Molecular Biology top 5%
- DNA Repair Mechanisms 17
- Mitochondrial Function and Pathology 6
- RNA Research and Splicing 5
- RNA modifications and cancer 2
- Cancer Research top 5%
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- Genetic Neurodegenerative Diseases 6
- Genetics top 10%
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- Peer-to-Peer Network Technologies 2
- Caching and Content Delivery 2
- Co-authors
- Paul ModrichAnna PluciennikVickers BurdettRobert D. WellsLeonid DzantievNicoleta ConstantinL.S. BeeseAnita Changela
- Journals
- Journal of Biological Chemistry (7 papers)Proceedings of the National Academy of Sciences (3 papers)Molecular Cell (2 papers)
- Partner nations
- United StatesPolandCanada
In The Last Decade
Ravi R. Iyer
23 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Pathology and Forensic Medicine 921
- Molecular Biology 1.8k
- Cancer Research 343
- Cellular and Molecular Neuroscience 336
- Genetics 269
Countries citing papers authored by Ravi R. Iyer
This map shows the geographic impact of Ravi R. Iyer'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 R. Iyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi R. Iyer more than expected).
Fields of papers citing papers by Ravi R. Iyer
This network shows the impact of papers produced by Ravi R. Iyer. 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 R. Iyer. The network helps show where Ravi R. Iyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ravi R. Iyer, 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 | 2022 | 1 | |
| 2 | 2021 | 71 | |
| 3 | 2017 | 42 | |
| 4 | 2015 | 92 | |
| 5 | 2015 | 1 | |
| 6 | 2014 | 43 | |
| 7 | 2011 | 3 | |
| 8 | 2010 | 46 | |
| 9 | 2010 | 209 | |
| 10 | 2009 | 70 | |
| 11 | 2008 | 35 | |
| 12 | Structure of the Human MutSα DNA Lesion Recognition Complexbreakdown → | 2007 | 279 |
| 13 | 2006 | 16 | |
| 14 | 2004 | 187 | |
| 15 | 2003 | 36 | |
| 16 | 2002 | 38 | |
| 17 | 2002 | 57 | |
| 18 | 2001 | 65 | |
| 19 | A Performance Model for Peer to Peer File Sharing Services | 2001 | 13 |
| 20 | 1999 | 51 |
About Ravi R. Iyer
Ravi R. Iyer is a scholar working on Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 23 papers that have together received 2.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (17 papers), Genetic factors in colorectal cancer (13 papers), Mitochondrial Function and Pathology (6 papers), Genetic Neurodegenerative Diseases (6 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (2 papers), Peer-to-Peer Network Technologies (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (921 citations), Molecular Biology (1.8k citations) and Cancer Research (343 citations). Ravi R. Iyer has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include Paul Modrich, Anna Pluciennik, Vickers Burdett, Robert D. Wells, Leonid Dzantiev, Nicoleta Constantin, L.S. Beese, Anita Changela, J.J. Warren and Jochen Genschel. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular Cell, Chemical Reviews and Journal of Huntington s Disease.
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.