Ryan W. Kim
Impact in
- Genetics top 10%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Plant Science top 10%
- Soybean genetics and cultivation
- Plant Virus Research Studies
Papers in
-
- Legume Nitrogen Fixing Symbiosis 4
- Chromosomal and Genetic Variations 2
- Wheat and Barley Genetics and Pathology 1
- Soybean genetics and cultivation 1
- Plant-Microbe Interactions and Immunity 1
- Agricultural pest management studies 1
- Co-authors
- Vrunda Sheth (1 shared paper)Heather E. Peckham (1 shared paper)Stephen F. Kingsmore (1 shared paper)Shannon Hateley (1 shared paper)Lu Zhang (1 shared paper)Joann Mudge (1 shared paper)Clarence Lee (1 shared paper)Gary P. Schroth (1 shared paper)
- Journals
- Science Translational Medicine (1 paper)PLANT PHYSIOLOGY (1 paper)Journal of General Virology (1 paper)Weed Science (1 paper)Genome (1 paper)
- Partner nations
- United StatesSouth KoreaIran
In The Last Decade
Ryan W. Kim
7 papers receiving 702 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Genetics 321
- Plant Science 230
- Pediatrics, Perinatology and Child Health 115
- Cancer Research 75
- Molecular Biology 238
Countries citing papers authored by Ryan W. Kim
This map shows the geographic impact of Ryan W. Kim'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 Ryan W. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan W. Kim more than expected).
Fields of papers citing papers by Ryan W. Kim
This network shows the impact of papers produced by Ryan W. Kim. 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 Ryan W. Kim. The network helps show where Ryan W. Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan W. Kim, 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 | Carrier Testing for Severe Childhood Recessive Diseases by Next-Generation Sequencing Hit paper breakdown → | 2011 | 477 |
| 2 | 2014 | 70 | |
| 3 | 2015 | 57 | |
| 4 | 2009 | 44 | |
| 5 | 2006 | 35 | |
| 6 | 2008 | 32 | |
| 7 | 2016 | 13 |
About Ryan W. Kim
Ryan W. Kim is a scholar working on Plant Science, Molecular Biology, Pulmonary and Respiratory Medicine, Ecology and Agronomy and Crop Science, having authored 7 papers that have together received 728 indexed citations. Recurring topics across this work include Legume Nitrogen Fixing Symbiosis (4 papers), Chromosomal and Genetic Variations (2 papers), Wheat and Barley Genetics and Pathology (1 paper), Soybean genetics and cultivation (1 paper), Cystic Fibrosis Research Advances (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Agricultural pest management studies (1 paper) and Agronomic Practices and Intercropping Systems (1 paper). The work is most often cited by research in Genetics (321 citations), Plant Science (230 citations), Pediatrics, Perinatology and Child Health (115 citations), Cancer Research (75 citations) and Molecular Biology (238 citations). Ryan W. Kim has collaborated with scholars based in United States, South Korea and Iran. Frequent co-authors include Vrunda Sheth, Heather E. Peckham, Stephen F. Kingsmore, Shannon Hateley, Lu Zhang, Joann Mudge, Clarence Lee, Gary P. Schroth, Callum J. Bell and Elena E. Ganusova. Their work appears in journals such as Science Translational Medicine, PLANT PHYSIOLOGY, Journal of General Virology, Weed Science and Genome.
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.