Ho-Jong Ju

1.4k total citations
64 papers, 1.1k citations indexed

About

Ho-Jong Ju is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Ho-Jong Ju has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Plant Science, 14 papers in Molecular Biology and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Ho-Jong Ju's work include Plant Virus Research Studies (31 papers), Plant Disease Resistance and Genetics (11 papers) and Plant and Fungal Interactions Research (10 papers). Ho-Jong Ju is often cited by papers focused on Plant Virus Research Studies (31 papers), Plant Disease Resistance and Genetics (11 papers) and Plant and Fungal Interactions Research (10 papers). Ho-Jong Ju collaborates with scholars based in South Korea, United States and China. Ho-Jong Ju's co-authors include Jeanmarie Verchot, Changming Ye, Mark E. Payton, Konduru Krishnamurthy, Elison B. Blancaflor, K. T. Ingram, Thomas P. Abbott, Yuh‐Shuh Wang, Jin‐Sung Hong and Richard S. Nelson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and Journal of Virology.

In The Last Decade

Ho-Jong Ju

58 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ho-Jong Ju South Korea 18 811 258 164 126 123 64 1.1k
Nieves Capote Spain 21 962 1.2× 281 1.1× 209 1.3× 169 1.3× 130 1.1× 56 1.2k
Vivek Prasad India 19 1.3k 1.6× 528 2.0× 57 0.3× 131 1.0× 52 0.4× 58 1.6k
Muhammad Arif Pakistan 13 477 0.6× 443 1.7× 122 0.7× 111 0.9× 136 1.1× 61 910
Claudio Ratti Italy 20 948 1.2× 163 0.6× 428 2.6× 219 1.7× 88 0.7× 107 1.2k
C. Korsi Dumenyo United States 17 706 0.9× 441 1.7× 107 0.7× 84 0.7× 110 0.9× 35 1.1k
Subhadeep Chatterjee India 23 1.3k 1.6× 472 1.8× 121 0.7× 201 1.6× 77 0.6× 37 1.6k
Ran Rosen Israel 15 465 0.6× 534 2.1× 57 0.3× 109 0.9× 87 0.7× 22 938
Soohyun Lee South Korea 15 596 0.7× 335 1.3× 35 0.2× 118 0.9× 56 0.5× 27 1.0k
E. Choueiri Lebanon 14 650 0.8× 154 0.6× 133 0.8× 196 1.6× 96 0.8× 72 908
Clemencia M. Rojas United States 19 1.3k 1.7× 652 2.5× 90 0.5× 52 0.4× 57 0.5× 30 1.6k

Countries citing papers authored by Ho-Jong Ju

Since Specialization
Citations

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

Fields of papers citing papers by Ho-Jong Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ho-Jong Ju. 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 Ho-Jong Ju. The network helps show where Ho-Jong Ju may publish in the future.

Co-authorship network of co-authors of Ho-Jong Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Ho-Jong Ju. A scholar is included among the top collaborators of Ho-Jong Ju 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 Ho-Jong Ju. Ho-Jong Ju 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.
Kim, Hae-In, Ju-Yeon Yoon, & Ho-Jong Ju. (2025). Diagnosis Anthracnose of Chili Pepper Using Convolutional Neural Networks Based Deep Learning Models. The Plant Pathology Journal. 41(1). 100–111.
2.
3.
Ju, Ho-Jong, et al.. (2024). Arctium lappa is a new Natural Host of Tomato Spotted Wilt Virus in Korea. Plant Disease. 1 indexed citations
4.
Yoon, Ju-Yeon, et al.. (2024). RT-RPA Assay Combined with a Lateral Flow Strip to Detect Soybean Mosaic Virus. The Plant Pathology Journal. 40(4). 337–345.
5.
Yoon, Ju-Yeon, et al.. (2024). First report of cycas necrotic stunt virus in a hybrid peony in South Korea. Journal of Plant Pathology. 106(2). 761–762. 2 indexed citations
6.
Moon, Ji‐Yong, et al.. (2023). Comparative Analysis of Microbial Community Characteristic of Acidic and Neutral Soils in Korean Orchards. Korean Journal of Soil Science and Fertilizer. 56(4). 449–462. 1 indexed citations
7.
Ju, Ho-Jong, et al.. (2023). First Report of Passiflora Latent Virus Infecting Passion Fruit (Passiflora edulis) in South Korea. Plant Disease. 107(9). 2893–2893. 4 indexed citations
8.
Choi, In‐Young, et al.. (2021). First Report of Powdery Mildew Caused by Golovinomyces ambrosiae on Verbena bonariensis in Korea. Plant Disease. 105(12). 4157–4157. 2 indexed citations
9.
Lee, Hyo‐Jeong, In-Sook Cho, Ho-Jong Ju, & Rae‐Dong Jeong. (2021). Rapid and visual detection of tomato spotted wilt virus using recombinase polymerase amplification combined with lateral flow strips. Molecular and Cellular Probes. 57. 101727–101727. 31 indexed citations
10.
Ju, Ho-Jong, Tag Keun Yoo, Shuang Jin, Hyemi Kim, & Tae Kyung Hyun. (2020). In vitro evaluation of the pharmacological properties of crude methanol extract and its fractions of Aconitum austrokoreense aerial parts. Revista Mexicana de Ingeniería Química. 19(3). 1341–1350. 2 indexed citations
11.
Kim, Kangmin, et al.. (2017). Localization of Barley yellow dwarf virus Movement Protein Modulating Programmed Cell Death in Nicotiana benthamiana. The Plant Pathology Journal. 33(1). 53–65. 14 indexed citations
12.
Tyagi, Swati, et al.. (2016). The Development of Simple Methods for the Maintenance and Quantification of Polymyxa graminis. Indian Journal of Microbiology. 56(4). 482–490. 4 indexed citations
13.
Govarthanan, Muthusamy, Young-Seok Seo, Kui-Jae Lee, et al.. (2016). Low-cost and eco-friendly synthesis of silver nanoparticles using coconut (Cocos nucifera)oil cake extract and its antibacterial activity. Artificial Cells Nanomedicine and Biotechnology. 44(8). 1878–1882. 85 indexed citations
14.
Ju, Ho-Jong, et al.. (2012). A Successful Management of an Esophageal Perforation Caused by Esophageal Foreign Body with a Non-operative Treatment in a Dog. 한국임상수의학회지. 29(6). 506–508. 1 indexed citations
15.
Ju, Ho-Jong. (2011). Simple and Rapid Detection of Potato leafroll virus by Reverse Transcription Loop-mediated Isothermal Amplification. The Plant Pathology Journal. 27(4). 385–389. 22 indexed citations
16.
Ju, Ho-Jong, Changming Ye, & Jeanmarie Verchot. (2008). Mutational analysis of PVX TGBp3 links subcellular accumulation and protein turnover. Virology. 375(1). 103–117. 35 indexed citations
17.
Ju, Ho-Jong, et al.. (2007). Subcellular targeting and interactions among the Potato virus X TGB proteins. Virology. 367(2). 375–389. 69 indexed citations
18.
19.
Chung, Ill‐Min, et al.. (1998). Survey and Control of The Occurrence of Mycotoxins from Postharvest Vegetables in Korea (II) Detection of Major Mycotoxins from Diseased Spice Vegetables (Onions, Garlics and Peppers). Analytical Science and Technology. 11(3). 206–212. 1 indexed citations
20.
Kim, Kwang‐Ho, et al.. (1997). Allelopathic Potential Evaluation of Rice Varieties on Echinochloa crus-galli. Korean Journal of Weed Science. 17(1). 52–58. 14 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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