Ryan W. Kim

3.6k total citations · 1 hit paper
7 papers, 728 citations indexed

About

Ryan W. Kim is a scholar working on Plant Science, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ryan W. Kim has authored 7 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 2 papers in Molecular Biology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Ryan W. Kim's work include Legume Nitrogen Fixing Symbiosis (4 papers), Chromosomal and Genetic Variations (2 papers) and Genomics and Rare Diseases (1 paper). Ryan W. Kim is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (4 papers), Chromosomal and Genetic Variations (2 papers) and Genomics and Rare Diseases (1 paper). Ryan W. Kim collaborates with scholars based in United States, Canada and South Korea. Ryan W. Kim's co-authors include Stephen F. Kingsmore, Callum J. Bell, Jimmy E. Woodward, Darrell L. Dinwiddie, Neil Miller, Vrunda Sheth, Gary P. Schroth, Elena E. Ganusova, Shannon Hateley and Faye Schilkey and has published in prestigious journals such as PLANT PHYSIOLOGY, Science Translational Medicine and Journal of General Virology.

In The Last Decade

Ryan W. Kim

7 papers receiving 702 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Carrier Testing for Severe Childhood Recessive Diseases by Next-Generation Sequencing

2011 477 citations Callum J. Bell, Darrell L. Dinwiddie et al. Science Translational Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ryan W. Kim United States	7	321	238	230	115	102	7	728
Haoxian Li China	15	219 0.7×	304 1.3×	242 1.1×	273 2.4×	36 0.4×	47	827
Albertina De Sario France	18	324 1.0×	771 3.2×	265 1.2×	37 0.3×	118 1.2×	37	1.1k
Olga G. Kozyreva United States	8	492 1.5×	585 2.5×	152 0.7×	46 0.4×	30 0.3×	13	890
Mayu Nakagawa Japan	14	122 0.4×	544 2.3×	614 2.7×	28 0.2×	33 0.3×	50	885
Yontao Lu United States	8	351 1.1×	496 2.1×	196 0.9×	23 0.2×	13 0.1×	8	843
Arvind Babu United States	9	359 1.1×	349 1.5×	268 1.2×	107 0.9×	11 0.1×	26	665
Alastair S. H. Goldman United Kingdom	21	436 1.4×	1.1k 4.8×	408 1.8×	171 1.5×	24 0.2×	41	1.5k
Cong Yu China	8	113 0.4×	681 2.9×	448 1.9×	88 0.8×	21 0.2×	21	1.1k

Countries citing papers authored by Ryan W. Kim

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ryan W. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan W. Kim. A scholar is included among the top collaborators of Ryan W. Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ryan W. Kim. Ryan W. Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Lee, Chaeyoung, et al.. (2016). Reconstruction of a composite comparative map composed of ten legume genomes. Genes & Genomics. 39(1). 111–119. 13 indexed citations

2.

Lee, Chaeyoung, et al.. (2015). Soybean [Glycine max (L.) Merrill]: Importance as A Crop and Pedigree Reconstruction of Korean Varieties. Plant Breeding and Biotechnology. 3(3). 179–196. 57 indexed citations

3.

Peng, Yanhui, Zhao Lai, Thomas Lane, et al.. (2014). De Novo Genome Assembly of the Economically Important Weed Horseweed Using Integrated Data from Multiple Sequencing Platforms . PLANT PHYSIOLOGY. 166(3). 1241–1254. 70 indexed citations

4.

Bell, Callum J., Darrell L. Dinwiddie, Neil Miller, et al.. (2011). Carrier Testing for Severe Childhood Recessive Diseases by Next-Generation Sequencing. Science Translational Medicine. 3(65). 65ra4–65ra4. 477 indexed citations breakdown →

5.

Thimmapuram, Jyothi, George Gong, Alvaro G. Hernandez, et al.. (2009). Sampling the Waterhemp (Amaranthus tuberculatus) Genome Using Pyrosequencing Technology. Weed Science. 57(5). 463–469. 44 indexed citations

6.

Bushman, B. Shaun, Steve Larson, Ivan W. Mott, et al.. (2008). Development and annotation of perennial Triticeae ESTs and SSR markers. Genome. 51(10). 779–788. 32 indexed citations

7.

Fujiki, Masaaki, Shigeki Kawakami, Ryan W. Kim, & Roger N. Beachy. (2006). Domains of tobacco mosaic virus movement protein essential for its membrane association. Journal of General Virology. 87(9). 2699–2707. 35 indexed citations

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.

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