Paul Ryvkin
Impact in
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- DNA and Nucleic Acid Chemistry
- Advanced biosensing and bioanalysis techniques
- Genomics and Phylogenetic Studies
- RNA Interference and Gene Delivery
Papers in
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- Cancer-related molecular mechanisms research 4
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- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 6
- RNA Research and Splicing 4
- DNA and Nucleic Acid Chemistry 3
- Genomics and Phylogenetic Studies 3
- DNA Repair Mechanisms 2
- CRISPR and Genetic Engineering 2
- Co-authors
- Li‐San WangBrian D. GregoryKajia CaoF. Brad JohnsonIsabelle DragomirOtto ValladaresJay E. JohnsonFan Li
- Journals
- Nucleic Acids Research (3 papers)Methods (2 papers)Journal of Computational Biology (2 papers)PLoS ONE (2 papers)Genes & Development (1 paper)
- Partner nations
- United States
In The Last Decade
Paul Ryvkin
17 papers receiving 714 citations
Peers
Comparison fields: 5 of 55
- Aging 18
- Molecular Biology 624
- Cancer Research 108
- Pediatrics, Perinatology and Child Health 62
- Genetics 29
Countries citing papers authored by Paul Ryvkin
This map shows the geographic impact of Paul Ryvkin'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 Paul Ryvkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Ryvkin more than expected).
Fields of papers citing papers by Paul Ryvkin
This network shows the impact of papers produced by Paul Ryvkin. 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 Paul Ryvkin. The network helps show where Paul Ryvkin may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Ryvkin, 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 | 2016 | 1 | |
| 2 | 2015 | 38 | |
| 3 | 2014 | 65 | |
| 4 | 2013 | 9 | |
| 5 | 2013 | 63 | |
| 6 | 2013 | 113 | |
| 7 | 2013 | 2 | |
| 8 | 2013 | 21 | |
| 9 | 2012 | 13 | |
| 10 | 2012 | 21 | |
| 11 | 2012 | 108 | |
| 12 | 2011 | 1 | |
| 13 | 2010 | 116 | |
| 14 | 2009 | 8 | |
| 15 | 2009 | 123 | |
| 16 | 2009 | 19 | |
| 17 | 2009 | 7 |
About Paul Ryvkin
Paul Ryvkin is a scholar working on Cancer Research, Molecular Biology, Genetics, Plant Science and Genetics, having authored 17 papers that have together received 728 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (4 papers), RNA Research and Splicing (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Genomics and Phylogenetic Studies (3 papers), DNA Repair Mechanisms (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Aging (18 citations), Molecular Biology (624 citations), Cancer Research (108 citations), Pediatrics, Perinatology and Child Health (62 citations) and Genetics (29 citations). Paul Ryvkin has collaborated with scholars based in United States. Frequent co-authors include Li‐San Wang, Brian D. Gregory, Kajia Cao, F. Brad Johnson, Isabelle Dragomir, Otto Valladares, Jay E. Johnson, Fan Li, Qi Zheng and Yuk Yee Leung. Their work appears in journals such as Nucleic Acids Research, Methods, Journal of Computational Biology, PLoS ONE and Genes & Development.
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.