Tong Geon Lee

1.6k total citations · 1 hit paper
33 papers, 991 citations indexed

About

Tong Geon Lee is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Tong Geon Lee has authored 33 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 9 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Tong Geon Lee's work include Nematode management and characterization studies (6 papers), Wheat and Barley Genetics and Pathology (6 papers) and Legume Nitrogen Fixing Symbiosis (6 papers). Tong Geon Lee is often cited by papers focused on Nematode management and characterization studies (6 papers), Wheat and Barley Genetics and Pathology (6 papers) and Legume Nitrogen Fixing Symbiosis (6 papers). Tong Geon Lee collaborates with scholars based in United States, South Korea and Brazil. Tong Geon Lee's co-authors include Matthew E. Hudson, Brian W. Diers, Samuel F. Hutton, Jiming Jiang, David K. Willis, Jianping Wang, David E. Cook, Andrew F. Bent, Xiaoli Guo and Thomas E. Clemente and has published in prestigious journals such as Science, Scientific Reports and The Plant Journal.

In The Last Decade

Tong Geon Lee

32 papers receiving 979 citations

Hit Papers

Copy Number Variation of ... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tong Geon Lee United States 13 918 251 136 65 32 33 991
B. N. Devanna India 15 775 0.8× 294 1.2× 141 1.0× 93 1.4× 13 0.4× 38 851
Quan Xu China 16 674 0.7× 219 0.9× 227 1.7× 71 1.1× 15 0.5× 35 732
Katherine S. Caldwell United States 9 968 1.1× 210 0.8× 350 2.6× 46 0.7× 17 0.5× 9 1.1k
Jinsong Xiong China 15 838 0.9× 476 1.9× 112 0.8× 32 0.5× 24 0.8× 32 960
N. Kumaravadivel India 7 565 0.6× 120 0.5× 147 1.1× 46 0.7× 23 0.7× 39 637
Lee Panella United States 15 585 0.6× 175 0.7× 116 0.9× 75 1.2× 18 0.6× 30 690
Jafar Mammadov United States 9 639 0.7× 239 1.0× 252 1.9× 30 0.5× 16 0.5× 13 738
Simona Urso Italy 10 502 0.5× 205 0.8× 129 0.9× 55 0.8× 22 0.7× 13 576
Sanling Wu China 9 507 0.6× 135 0.5× 75 0.6× 74 1.1× 36 1.1× 15 597
Sue Broughton Australia 19 842 0.9× 299 1.2× 219 1.6× 48 0.7× 36 1.1× 35 936

Countries citing papers authored by Tong Geon Lee

Since Specialization
Citations

This map shows the geographic impact of Tong Geon Lee'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 Tong Geon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tong Geon Lee more than expected).

Fields of papers citing papers by Tong Geon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tong Geon Lee. 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 Tong Geon Lee. The network helps show where Tong Geon Lee may publish in the future.

Co-authorship network of co-authors of Tong Geon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Tong Geon Lee. A scholar is included among the top collaborators of Tong Geon Lee 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 Tong Geon Lee. Tong Geon Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Tong Geon, et al.. (2024). Genome sequence data of the contemporary fresh-market tomatoes. BMC Genomic Data. 25(1). 65–65.
2.
Lee, Tong Geon, et al.. (2024). Impact of Rhg1 copy number variation on a soybean cyst nematode resistance transcriptional network. G3 Genes Genomes Genetics. 2 indexed citations
3.
Kim, Juhee, et al.. (2023). Genetic architecture of fresh-market tomato yield. BMC Plant Biology. 23(1). 18–18. 8 indexed citations
4.
Hutton, Samuel F., et al.. (2022). A mutant allele of the flowering promoting factor 1 gene at the tomato BRACHYTIC locus reduces plant height with high quality fruit. Plant Direct. 6(8). e422–e422. 11 indexed citations
5.
Vallad, Gary E., et al.. (2021). Characterization and elimination of linkage-drag associated with Fusarium wilt race 3 resistance genes. Theoretical and Applied Genetics. 134(7). 2129–2140. 16 indexed citations
6.
Illa-Berenguer, Eudald, et al.. (2021). Identification and characterization of GLOBE, a major gene controlling fruit shape and impacting fruit size and marketability in tomato. Horticulture Research. 8(1). 138–138. 33 indexed citations
7.
Lee, Tong Geon & Samuel F. Hutton. (2021). Field Evaluation of CRISPR-Driven Jointless Pedicel Fresh-Market Tomatoes. Agronomy. 11(10). 1957–1957. 7 indexed citations
8.
Vallad, Gary E., et al.. (2021). Breeding for Resistance to Fusarium Wilt of Tomato: A Review. Genes. 12(11). 1673–1673. 60 indexed citations
9.
Zhang, Dingpeng, et al.. (2020). Aldoxime Metabolism Is Linked to Phenylpropanoid Production in Camelina sativa. Frontiers in Plant Science. 11. 17–17. 20 indexed citations
10.
Lee, Tong Geon, et al.. (2019). Integration of lodging resistance QTL in soybean. Scientific Reports. 9(1). 6540–6540. 12 indexed citations
11.
Lee, Tong Geon, et al.. (2018). Molecular Markers to Select for the j-2–mediated Jointless Pedicel in Tomato. HortScience. 53(2). 153–158. 9 indexed citations
12.
Lee, Tong Geon, et al.. (2018). Fine Mapping of the brachytic Locus on the Tomato Genome. Journal of the American Society for Horticultural Science. 143(4). 239–247. 11 indexed citations
13.
Lee, Tong Geon, et al.. (2016). Impact of Rhg1 copy number, type, and interaction with Rhg4 on resistance to Heterodera glycines in soybean. Theoretical and Applied Genetics. 129(12). 2403–2412. 34 indexed citations
14.
Lee, Tong Geon & Yong Weon Seo. (2015). Identification of genome-specific transcripts in wheat–rye translocation lines. Genomics Data. 5. 151–153. 1 indexed citations
15.
Lee, Tong Geon, Yong Jin Lee, & Yong Weon Seo. (2014). Expression analysis of individual homoeologous wheat genome- and rye genome-specific transcripts in a 2BS.2RL wheat-rye translocation. Genes & Genetic Systems. 89(4). 159–168. 3 indexed citations
16.
Cook, David E., Tong Geon Lee, Xiaoli Guo, et al.. (2012). Copy Number Variation of Multiple Genes at Rhg1 Mediates Nematode Resistance in Soybean. Science. 338(6111). 1206–1209. 455 indexed citations breakdown →
17.
Lee, Tong Geon, Yong Jin Lee, Dae Yeon Kim, & Yong Weon Seo. (2010). Comparative physical mapping between wheat chromosome arm 2BL and rice chromosome 4. Genetica. 138(11-12). 1277–1296. 4 indexed citations
18.
Lee, Yong Jin, et al.. (2010). Employment of hordein subunit polymorphisms in establishing selection criteria for high quality malting barley (Hordeum vulgare L.). Journal of Crop Science and Biotechnology. 13(2). 91–97. 2 indexed citations
19.
Lee, Tong Geon, et al.. (2009). Development and functional assessment of EST-derived 2RL-specific markers for 2BS.2RL translocations. Theoretical and Applied Genetics. 119(4). 663–673. 21 indexed citations
20.
Jang, Cheol Seong, Won Cheol Yim, Je Hyeong Jung, et al.. (2008). Evolution of non-specific lipid transfer protein (nsLTP) genes in the Poaceae family: their duplication and diversity. Molecular Genetics and Genomics. 279(5). 481–497. 26 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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