Jeong Joon Ahn

1.1k total citations
47 papers, 843 citations indexed

About

Jeong Joon Ahn is a scholar working on Insect Science, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Jeong Joon Ahn has authored 47 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Insect Science, 21 papers in Plant Science and 17 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Jeong Joon Ahn's work include Insect-Plant Interactions and Control (32 papers), Insect and Pesticide Research (14 papers) and Insect Pest Control Strategies (12 papers). Jeong Joon Ahn is often cited by papers focused on Insect-Plant Interactions and Control (32 papers), Insect and Pesticide Research (14 papers) and Insect Pest Control Strategies (12 papers). Jeong Joon Ahn collaborates with scholars based in South Korea, United States and Taiwan. Jeong Joon Ahn's co-authors include Kyung San Choi, Joon‐Ho Lee, Hong-Hyun Park, Jeong Hoon Lee, Les Shipp, Rosemarije Buitenhuis, Jae Ho Joa, Bong Nam Chung, Si Hyeock Lee and Chuleui Jung and has published in prestigious journals such as PLoS ONE, Computers and Electronics in Agriculture and Journal of Economic Entomology.

In The Last Decade

Jeong Joon Ahn

43 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeong Joon Ahn South Korea 18 649 463 247 144 82 47 843
L. Irene Terry United States 16 689 1.1× 713 1.5× 546 2.2× 146 1.0× 47 0.6× 38 1.1k
Ernesto Prado Brazil 14 652 1.0× 586 1.3× 247 1.0× 75 0.5× 53 0.6× 32 916
Mélanie Body United States 13 412 0.6× 349 0.8× 351 1.4× 109 0.8× 86 1.0× 24 679
Rodrigo Krugner United States 18 586 0.9× 673 1.5× 293 1.2× 55 0.4× 55 0.7× 48 877
Jean‐Claude Streito France 12 437 0.7× 277 0.6× 372 1.5× 44 0.3× 113 1.4× 42 637
Scott W. Myers United States 19 799 1.2× 632 1.4× 191 0.8× 140 1.0× 267 3.3× 57 968
Xavier Martini United States 22 1.1k 1.7× 940 2.0× 230 0.9× 102 0.7× 279 3.4× 98 1.4k
Yaobin Lu China 21 973 1.5× 724 1.6× 219 0.9× 441 3.1× 52 0.6× 77 1.2k
József Fail Hungary 12 372 0.6× 312 0.7× 160 0.6× 77 0.5× 66 0.8× 56 507
Adam R. Zeilinger United States 15 404 0.6× 522 1.1× 177 0.7× 118 0.8× 46 0.6× 30 720

Countries citing papers authored by Jeong Joon Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Jeong Joon Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeong Joon Ahn. 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 Jeong Joon Ahn. The network helps show where Jeong Joon Ahn may publish in the future.

Co-authorship network of co-authors of Jeong Joon Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Jeong Joon Ahn. A scholar is included among the top collaborators of Jeong Joon Ahn 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 Jeong Joon Ahn. Jeong Joon Ahn 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.
2.
Ahn, Jeong Joon & Kyung San Choi. (2023). Population parameters and growth of Myzus persicae Sulzer (Hemiptera: Aphididae) under elevated CO2 concentrations in the air. Entomological Research. 53(5). 175–189. 1 indexed citations
3.
Ahn, Jeong Joon & Kyung San Choi. (2022). Population Parameters and Growth of Riptortus pedestris (Fabricius) (Hemiptera: Alydidae) under Fluctuating Temperature. Insects. 13(2). 113–113. 19 indexed citations
4.
Jung, Jin Kyo, et al.. (2020). Meridic Diets for Rearing of Spodoptera frugiperda Larvae. Korean journal of applied entomology. 59(3). 243–250. 2 indexed citations
5.
6.
Choi, Kyung San, et al.. (2020). Thermal effect on the fecundity and longevity of Bactrocera dorsalis adults and their improved oviposition model. PLoS ONE. 15(7). e0235910–e0235910. 30 indexed citations
7.
Chung, Bong Nam, Joung‐Ho Lee, Byoung‐Cheorl Kang, et al.. (2018). HR-Mediated Defense Response is Overcome at High Temperatures in Capsicum Species. The Plant Pathology Journal. 34(1). 71–77. 19 indexed citations
8.
Choi, Kyung San, et al.. (2018). Elevated CO 2 may alter pheromonal communication in Helicoverpa armigera (Lepidoptera: Noctuidae). Physiological Entomology. 43(3). 169–179. 7 indexed citations
9.
10.
Samayoa, Ana Clariza, et al.. (2018). Thermal effects on the development of Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) and model validation in Taiwan. Phytoparasitica. 46(3). 365–376. 20 indexed citations
11.
Ahn, Jeong Joon, et al.. (2018). Effects of temperature on the development, fecundity, and life table parameters of Riptortus pedestris (Hemiptera: Alydidae). Applied Entomology and Zoology. 54(1). 63–74. 18 indexed citations
12.
Kim, Dong‐Soon, Jeong Joon Ahn, & Joon‐Ho Lee. (2017). A Review for Non-linear Models Describing Temperature-dependent Development of Insect Populations: Characteristics and Developmental Process of Models. Korean journal of applied entomology. 1–18. 12 indexed citations
13.
Ahn, Jeong Joon, et al.. (2017). Thermal biology of Osmia cornifrons (Hymenoptera: Megachilidae) eggs and larvae. Journal of Apicultural Research. 56(4). 421–429. 5 indexed citations
14.
Ahn, Jeong Joon, Youngsoo Son, Yaqian He, Eungul Lee, & Yong‐Lak Park. (2016). Effects of Temperature on Development and Voltinism of Chaetodactylus krombeini (Acari: Chaetodactylidae): Implications for Climate Change Impacts. PLoS ONE. 11(8). e0161319–e0161319. 12 indexed citations
15.
Chung, Bong Nam, Tomás Canto, Francisco Tenllado, et al.. (2016). The Effects of High Temperature on Infection by Potato virus Y, Potato virus A, and Potato leafroll virus. The Plant Pathology Journal. 32(4). 321–328. 42 indexed citations
16.
Koh, Sang‐Hyun, et al.. (2015). A Model for Predicting Spring Emergence ofMonochamus saltuarius(Coleoptera: Cerambycidae) from Korean white pine,Pinus koraiensis. Journal of Economic Entomology. 108(4). 1830–1836. 17 indexed citations
17.
Kwon, Deok Ho, et al.. (2013). Determination of acaricide resistance allele frequencies in field populations of Tetranychus urticae using quantitative sequencing. Journal of Asia-Pacific Entomology. 17(1). 99–103. 20 indexed citations
18.
Kim, Taehyun, Jeong Joon Ahn, & Jeong Hoon Lee. (2012). Age‐ and temperature‐dependent oviposition model of Neoseiulus californicus (McGregor) (Acari: Phytoseiidae) with Tetranychus urticae as prey. Journal of Applied Entomology. 137(4). 282–288. 14 indexed citations
19.
Kwon, Deok Ho, Soyoung Kang, Jeong Joon Ahn, et al.. (2010). Residual contact vial bioassay for the on-site detection of acaricide resistance in the two-spotted spider mite. Journal of Asia-Pacific Entomology. 13(4). 333–337. 20 indexed citations
20.
Kim, Ki Woo, Jeong Joon Ahn, & Joon‐Ho Lee. (2008). Micromorphology of epicuticular wax structures of the garden strawberry leaves by electron microscopy: Syntopism and polymorphism. Micron. 40(3). 327–334. 18 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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