Jong‐Min Ko

1.1k total citations
68 papers, 784 citations indexed

About

Jong‐Min Ko is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Pathology and Forensic Medicine. According to data from OpenAlex, Jong‐Min Ko has authored 68 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Plant Science, 22 papers in Ecology, Evolution, Behavior and Systematics and 11 papers in Pathology and Forensic Medicine. Recurrent topics in Jong‐Min Ko's work include Agriculture, Soil, Plant Science (21 papers), Soybean genetics and cultivation (17 papers) and Phytoestrogen effects and research (11 papers). Jong‐Min Ko is often cited by papers focused on Agriculture, Soil, Plant Science (21 papers), Soybean genetics and cultivation (17 papers) and Phytoestrogen effects and research (11 papers). Jong‐Min Ko collaborates with scholars based in South Korea, Japan and Philippines. Jong‐Min Ko's co-authors include Tae Joung Ha, Young‐Il Kim, In-Youl Baek, Jong‐Hee Lee, Hang Won Kang, Keum-Yong Park, Jin Hwan Lee, So-Myeong Lee, Dongjin Shin and Youngho Kwon and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Jong‐Min Ko

61 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jong‐Min Ko South Korea 15 526 145 106 85 82 68 784
Apostolos Kalivas Greece 21 635 1.2× 328 2.3× 117 1.1× 11 0.1× 199 2.4× 52 1.0k
Kee‐Jong Kim South Korea 13 360 0.7× 51 0.4× 252 2.4× 57 0.7× 34 0.4× 61 599
Yuhang Zhang China 17 481 0.9× 258 1.8× 258 2.4× 104 1.2× 42 0.5× 62 1.0k
S. T. Chang China 15 431 0.8× 200 1.4× 104 1.0× 17 0.2× 11 0.1× 26 959
Xiuxin Zhang China 18 485 0.9× 433 3.0× 76 0.7× 27 0.3× 46 0.6× 61 782
Keiichi Shimizu Japan 17 264 0.5× 416 2.9× 66 0.6× 93 1.1× 14 0.2× 53 722
Wenjun Qian China 16 735 1.4× 480 3.3× 62 0.6× 119 1.4× 23 0.3× 50 1.0k
Fei Guo China 17 467 0.9× 475 3.3× 149 1.4× 245 2.9× 42 0.5× 54 936
A.S. Mishra India 14 307 0.6× 296 2.0× 129 1.2× 18 0.2× 78 1.0× 39 897

Countries citing papers authored by Jong‐Min Ko

Since Specialization
Citations

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

Fields of papers citing papers by Jong‐Min Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong‐Min Ko. 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 Jong‐Min Ko. The network helps show where Jong‐Min Ko may publish in the future.

Co-authorship network of co-authors of Jong‐Min Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Jong‐Min Ko. A scholar is included among the top collaborators of Jong‐Min Ko 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 Jong‐Min Ko. Jong‐Min Ko 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, Myoung Hui, Jinhee Park, Chon‐Sik Kang, et al.. (2023). Genome-Wide Association Study of Arabinoxylan Content from a 562 Hexaploid Wheat Collection. Plants. 12(1). 184–184. 6 indexed citations
2.
Kim, Mina, et al.. (2022). Low-Temperature Effects on the Growth and Phytochemical Properties of Wheat Sprouts. Agriculture. 12(6). 745–745. 8 indexed citations
3.
Alahmad, Samir, Jong‐Hee Lee, Eric Dinglasan, et al.. (2022). Speed vernalization to accelerate generation advance in winter cereal crops. Molecular Plant. 15(8). 1300–1309. 38 indexed citations
4.
Kwon, Youngho, Nkulu Rolly Kabange, Ji-Yoon Lee, et al.. (2021). RNA-Seq and Electrical Penetration Graph Revealed the Role of Grh1-Mediated Activation of Defense Mechanisms towards Green Rice Leafhopper (Nephotettix cincticeps Uhler) Resistance in Rice (Oryza sativa L.). International Journal of Molecular Sciences. 22(19). 10696–10696. 8 indexed citations
5.
Kim, Namgyu, Sumin Jo, Jiyoun Lee, et al.. (2021). Mapping of a Major QTL, qBK1Z, for Bakanae Disease Resistance in Rice. Plants. 10(3). 434–434. 19 indexed citations
6.
Kwon, Youngho, Nkulu Rolly Kabange, Ji-Yun Lee, et al.. (2021). Novel QTL Associated with Shoot Branching Identified in Doubled Haploid Rice (Oryza sativa L.) under Low Nitrogen Cultivation. Genes. 12(5). 745–745. 9 indexed citations
7.
Kabange, Nkulu Rolly, Ji-Yun Lee, Dongjin Shin, et al.. (2021). New Insights into the Transcriptional Regulation of Genes Involved in the Nitrogen Use Efficiency under Potassium Chlorate in Rice (Oryza sativa L.). International Journal of Molecular Sciences. 22(4). 2192–2192. 13 indexed citations
8.
Kang, Ju-Won, Nkulu Rolly Kabange, So-Myeong Lee, et al.. (2020). Combined Linkage Mapping and Genome-Wide Association Study Identified QTLs Associated with Grain Shape and Weight in Rice (Oryza sativa L.). Agronomy. 10(10). 1532–1532. 12 indexed citations
9.
Kang, Ju-Won, Dongjin Shin, Jun‐Hyeon Cho, et al.. (2019). Accelerated development of rice stripe virus-resistant, near-isogenic rice lines through marker-assisted backcrossing. PLoS ONE. 14(12). e0225974–e0225974. 12 indexed citations
10.
11.
Yang, Kiwoung, et al.. (2011). Development of Molecular Markers Conferring Bacterial Leaf Pustule Resistance Gene, Rxp, using Resistant and Susceptible Cultivars in Soybean. Korean Journal of Breeding Science. 43(4). 98–98. 2 indexed citations
12.
Kim, Young‐Il, et al.. (2011). A study for clustering method to generate Typical Load Profiles for Smart Grid. 1102–1109. 20 indexed citations
13.
Ko, Jong‐Min, et al.. (2010). A Development of Demand Response Operation System and Real-Time Pricing based on Smart Grid. The Transactions of The Korean Institute of Electrical Engineers. 59(11). 1964–1970. 1 indexed citations
14.
Ko, Jong‐Min, et al.. (2009). A Study for CBL(Customer Baseline Load) utilization in Day Ahead Demand Response operation. The Transactions of The Korean Institute of Electrical Engineers. 58(1). 28–34. 1 indexed citations
15.
Park, Keum-Yong, et al.. (2008). Variations in Growth Characteristics and Seed Qualities of Korean Soybean Landraces. The Korean Journal of Crop Science. 53. 96–102. 1 indexed citations
16.
Ko, Jong‐Min, et al.. (2008). A Study on Demand Pattern Analysis for Forecasting of Customer's Electricity Demand. The Transactions of The Korean Institute of Electrical Engineers. 57(8). 1342–1348.
17.
Baek, In-Youl, Jong‐Min Ko, Ki-Won Oh, et al.. (2008). Antioxidant and Tyrosinase Inhibitory Activities from Seed Coat of Brown Soybean. Food Science and Biotechnology. 17(1). 1–7. 14 indexed citations
18.
Lee, Jin Hwan, In-Youl Baek, Myoung‐Gun Choung, et al.. (2008). Phytochemical Constituents from the Leaves of Soybean [Glycine max (L.) Merr.]. Food Science and Biotechnology. 17(3). 578–586. 23 indexed citations
19.
Baek, In-Youl, Jong‐Min Ko, Hyun-Tae Kim, et al.. (2007). Profiles of Compositional Components in Vegetable Soybeans (Glycine max (L.) Merr.). Journal of Applied Biological Chemistry. 50(2). 63–69. 5 indexed citations
20.
Ko, Jong‐Min, et al.. (2006). Antioxidant Activities and Determination of Phenolic Acids from Leaves of Perilla frutescens. Journal of Applied Biological Chemistry. 49(1). 11–15. 3 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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