Gea‐Jae Joo

2.1k total citations
133 papers, 1.4k citations indexed

About

Gea‐Jae Joo is a scholar working on Ecology, Nature and Landscape Conservation and Molecular Biology. According to data from OpenAlex, Gea‐Jae Joo has authored 133 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Ecology, 45 papers in Nature and Landscape Conservation and 18 papers in Molecular Biology. Recurrent topics in Gea‐Jae Joo's work include Fish Ecology and Management Studies (42 papers), Environmental DNA in Biodiversity Studies (22 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (15 papers). Gea‐Jae Joo is often cited by papers focused on Fish Ecology and Management Studies (42 papers), Environmental DNA in Biodiversity Studies (22 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (15 papers). Gea‐Jae Joo collaborates with scholars based in South Korea, Canada and Denmark. Gea‐Jae Joo's co-authors include Kwang‐Seuk Jeong, Dong‐Kyun Kim, Sungwon Hong, Hyo Gyeom Kim, Ji Yoon Kim, Ihn–Sil Kwak, Dongkyun Kim, Hyun‐Woo Kim, Peter A. Whigham and Kiyun Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Gea‐Jae Joo

113 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gea‐Jae Joo South Korea 22 589 394 312 255 216 133 1.4k
Dong‐Kyun Kim Canada 22 444 0.8× 287 0.7× 448 1.4× 504 2.0× 190 0.9× 64 1.2k
Ryan A. Hill United States 21 823 1.4× 625 1.6× 607 1.9× 345 1.4× 183 0.8× 58 1.7k
Gang Yang China 27 945 1.6× 147 0.4× 156 0.5× 271 1.1× 72 0.3× 138 2.1k
Gerhard Wiegleb Germany 24 616 1.0× 416 1.1× 125 0.4× 344 1.3× 75 0.3× 88 1.5k
Raul H. Piedrahita United States 23 372 0.6× 492 1.2× 538 1.7× 150 0.6× 61 0.3× 56 2.2k
Ang Hu China 23 567 1.0× 86 0.2× 68 0.2× 201 0.8× 89 0.4× 57 1.5k
Wiebke J. Boeing United States 21 336 0.6× 203 0.5× 81 0.3× 404 1.6× 35 0.2× 42 1.4k
Li Wen Australia 27 1.2k 2.0× 489 1.2× 639 2.0× 176 0.7× 204 0.9× 144 2.3k
Yufeng Li China 14 372 0.6× 89 0.2× 203 0.7× 278 1.1× 84 0.4× 41 1.0k
Alberto Barausse Italy 21 393 0.7× 218 0.6× 49 0.2× 214 0.8× 71 0.3× 47 1.3k

Countries citing papers authored by Gea‐Jae Joo

Since Specialization
Citations

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

Fields of papers citing papers by Gea‐Jae Joo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gea‐Jae Joo. 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 Gea‐Jae Joo. The network helps show where Gea‐Jae Joo may publish in the future.

Co-authorship network of co-authors of Gea‐Jae Joo

This figure shows the co-authorship network connecting the top 25 collaborators of Gea‐Jae Joo. A scholar is included among the top collaborators of Gea‐Jae Joo 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 Gea‐Jae Joo. Gea‐Jae Joo 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.
Do, Yuno, et al.. (2025). Distribution and Habitat Use of Wintering Waterbirds in Busan and Gyeongsangnam-do. Korean Journal of Ecology and Environment. 58(1). 61–69.
2.
3.
Choi, Jong‐Yun, et al.. (2023). Complete mitochondrial genome of Ischnura asiatica (Brauer, 1865) assembled from next-generation sequencing data. SHILAP Revista de lepidopterología. 8(3). 333–335. 1 indexed citations
4.
Joo, Gea‐Jae, et al.. (2023). Molecular Diet Analysis of Asian Clams for Supplementary Biodiversity Monitoring: A Case Study of Nakdong River Estuary. Biology. 12(9). 1245–1245. 2 indexed citations
5.
Park, Hee Sun, et al.. (2023). Annual Changes in the Distribution of <i>Bolboschoenus planiculmis</i> in the Eulsuk-Island, Nakdong River Estuary. Korean Journal of Ecology and Environment. 56(3). 259–267. 1 indexed citations
6.
Joo, Gea‐Jae, et al.. (2022). Prey Identification of the Little Tern, Sternula albifrons (Pallas, 1764), by Applying DNA Barcoding to Fecal Materials. Sustainability. 14(19). 11945–11945. 1 indexed citations
7.
Krogh, Paul Henning, et al.. (2020). Pretreatment Method for DNA Barcoding to Analyze Gut Contents of Rotifers. Applied Sciences. 10(3). 1064–1064. 10 indexed citations
8.
Hao, Beibei, Haoping Wu, Wei Zhen, et al.. (2020). Warming Effects on Periphyton Community and Abundance in Different Seasons Are Influenced by Nutrient State and Plant Type: A Shallow Lake Mesocosm Study. Frontiers in Plant Science. 11. 404–404. 28 indexed citations
9.
Joo, Gea‐Jae, et al.. (2018). Length-weight relationships of three freshwater fishes from Hoiya River in South Korea. Journal of Applied Ichthyology. 34(4). 1075–1077.
10.
Kim, Un‐Jung, Gea‐Jae Joo, In-Seok Lee, & Jeong‐Eun Oh. (2015). Investigation of bioaccumulation and biotransformation of polybrominated diphenyl ethers, hydroxylated and methoxylated derivatives in varying trophic level freshwater fishes. Chemosphere. 137. 108–114. 46 indexed citations
11.
Jeong, Kwang‐Seuk, et al.. (2012). Machine Learning for Predictive Management: Short and Long term Prediction of Phytoplankton Biomass using Genetic Algorithm Based Recurrent Neural Networks. International Journal of Environmental Research. 6(1). 95–108. 19 indexed citations
12.
Kim, Hyun‐Woo, et al.. (2012). Microcrustacean Community Dynamics in Upo Wetlands: Impact of Rainfall and Physiochemical Factor on Microcrustacean Community. Journal of Ecology and Environment. 45(3). 340–346. 1 indexed citations
13.
Yoon, Ju‐Duk, et al.. (2011). Freshwater Fish Utilization of Fishway Installed in the Jangheung Dam. Journal of Ecology and Environment. 44(3). 264–271. 6 indexed citations
14.
Jeong, Kwang‐Seuk, et al.. (2010). Flow regulation for water quality (chlorophyll a) improvement.. International Journal of Environmental Research. 4(4). 713–724. 13 indexed citations
15.
Joo, Gea‐Jae, et al.. (2010). A Study of the Countermeasures for Juvenile Sexual Deviance in South Korea. 12(2). 125–165. 1 indexed citations
16.
Jeong, Kwang‐Seuk, Gea‐Jae Joo, Sang Hyeon Kim, et al.. (2008). Development of Habitat-riparian Quality Indexing System as a Tool of Stream Health Assessment: Case Study in the Nakdong River Basin. Journal of Ecology and Environment. 41(4). 499–511. 6 indexed citations
17.
Chang, Kwang‐Hyeon, et al.. (2005). Characteristics and Inter- annual Variability of Zooplankton Dynamics in the Middle Part of the River (Nakdong River). Journal of Ecology and Environment. 38(3). 412–419. 1 indexed citations
18.
Jang, Min‐Ho, et al.. (2003). The Application of an Algal Fence for the Reduction of Algal Intake into the Water Intake Facility. Journal of Ecology and Environment. 36(4). 467–472. 6 indexed citations
19.
Joo, Gea‐Jae, et al.. (2003). The impact of monsoon on the distribution of fish in a small stream, Korea. Ecohydrology & Hydrobiology. 3(1). 87–95. 2 indexed citations
20.
Kim, Hyun‐Woo, Soon‐Jin Hwang, & Gea‐Jae Joo. (1999). Grazing Rates of Rotifers and Their Contribution to Community Grazing in the Nakdong River. The Korean Journal of Ecology. 22(6). 337–342. 2 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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