Joon Sakong

1.9k total citations
98 papers, 1.4k citations indexed

About

Joon Sakong is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Psychiatry and Mental health. According to data from OpenAlex, Joon Sakong has authored 98 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Health, Toxicology and Mutagenesis, 8 papers in Pollution and 8 papers in Psychiatry and Mental health. Recurrent topics in Joon Sakong's work include Heavy Metal Exposure and Toxicity (20 papers), Mercury impact and mitigation studies (15 papers) and Heavy metals in environment (8 papers). Joon Sakong is often cited by papers focused on Heavy Metal Exposure and Toxicity (20 papers), Mercury impact and mitigation studies (15 papers) and Heavy metals in environment (8 papers). Joon Sakong collaborates with scholars based in South Korea, Vietnam and United States. Joon Sakong's co-authors include Domyung Paek, Man Joong Jeon, Dongmug Kang, Ho‐Jang Kwon, Yun‐Chul Hong, Mina Ha, Sung Ho Jang, Su Min Son, Kyunghee Ji and Sunmi Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Joon Sakong

89 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
Joon Sakong South Korea 21 532 186 168 144 129 98 1.4k
Heidi Sucharew United States 29 476 0.9× 77 0.4× 54 0.3× 102 0.7× 117 0.9× 101 2.2k
Huijing Shi China 29 840 1.6× 201 1.1× 91 0.5× 163 1.1× 76 0.6× 113 2.6k
Yue Chen China 27 566 1.1× 175 0.9× 62 0.4× 342 2.4× 52 0.4× 88 2.6k
Cairong Zhu China 25 281 0.5× 157 0.8× 21 0.1× 181 1.3× 57 0.4× 119 2.6k
Choong Ho Shin South Korea 29 503 0.9× 35 0.2× 88 0.5× 219 1.5× 150 1.2× 216 2.5k
Young Ah Lee South Korea 26 544 1.0× 27 0.1× 121 0.7× 141 1.0× 111 0.9× 166 1.9k
Paul Curtin United States 22 628 1.2× 35 0.2× 43 0.3× 62 0.4× 230 1.8× 77 1.6k
Eva María Navarrete‐Muñoz Spain 26 325 0.6× 28 0.2× 102 0.6× 227 1.6× 251 1.9× 116 2.1k
Zhanghua Chen United States 26 1.4k 2.6× 59 0.3× 362 2.2× 272 1.9× 61 0.5× 80 2.3k
Christine Till Canada 26 317 0.6× 125 0.7× 76 0.5× 23 0.2× 103 0.8× 84 2.0k

Countries citing papers authored by Joon Sakong

Since Specialization
Citations

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

Fields of papers citing papers by Joon Sakong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joon Sakong

This figure shows the co-authorship network connecting the top 25 collaborators of Joon Sakong. A scholar is included among the top collaborators of Joon Sakong 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 Joon Sakong. Joon Sakong 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.
Park, Chulyong, et al.. (2023). Increase of blood mercury level with shark meat consumption: A repeated-measures study before and after Chuseok, Korean holiday. Chemosphere. 344. 140317–140317. 1 indexed citations
2.
Park, Chulyong, et al.. (2023). Association of heavy metal complex exposure and neurobehavioral function of children. Annals of Occupational and Environmental Medicine. 35(1). e23–e23. 3 indexed citations
3.
Acharya, Dilaram, et al.. (2023). Association of Blood Mercury Level with Liver Enzymes in Korean Adults: An Analysis of 2015–2017 Korean National Environmental Health Survey. International Journal of Environmental Research and Public Health. 20(4). 3290–3290. 7 indexed citations
4.
Park, Chulyong, et al.. (2023). The Impact of Aircraft Noise on the Cognitive Function of Elementary School Students in Korea. Noise and Health. 25(117). 83–91. 3 indexed citations
5.
6.
Park, Chulyong, et al.. (2020). The association between mercury concentrations and lipid profiles in the Korean National Environmental Health Survey (KoNEHS) cycle 3. Annals of Occupational and Environmental Medicine. 32(1). e19–e19. 8 indexed citations
7.
Byun, Young Seok, et al.. (2020). Validity assessment of self-reported smoking status in firefighters using the urine cotinine test. Annals of Occupational and Environmental Medicine. 32(1). e2–e2. 5 indexed citations
8.
Byun, Young Seok, et al.. (2017). The associations between blood mercury levels and shark meat intake among workers in Gyeongsangbuk-do. Annals of Occupational and Environmental Medicine. 29(1). 29–29. 7 indexed citations
9.
Ha, Mina, Ho‐Jang Kwon, Yun‐Chul Hong, et al.. (2013). Mobile Phone Use, Blood Lead Levels, and Attention Deficit Hyperactivity Symptoms in Children: A Longitudinal Study. PLoS ONE. 8(3). e59742–e59742. 65 indexed citations
10.
Jeong, Jae Ho, et al.. (2013). A Case of Lead Poisoning due to a Mixture of Talisman Ash. Annals of Occupational and Environmental Medicine. 25(1). 37–37. 4 indexed citations
11.
Ji, Kyunghee, Sunmi Kim, Younglim Kho, et al.. (2012). Serum concentrations of major perfluorinated compounds among the general population in Korea: Dietary sources and potential impact on thyroid hormones. Environment International. 45. 78–85. 124 indexed citations
12.
Kwon, Ho‐Jang, Youn‐Hee Choi, Wilfried Karmaus, et al.. (2012). Dental composite fillings and bisphenol A among children: a survey in South Korea. International Dental Journal. 62(2). 65–69. 23 indexed citations
13.
Sakong, Joon, et al.. (2011). Relationship between dental amalgam fillings and urinary mercury concentration among children. Journal of Korean Academy of Oral Health. 35(3). 258–265. 3 indexed citations
14.
Jang, Sung Ho, Dai-Seg Bai, Su Min Son, et al.. (2008). Motor outcome prediction using diffusion tensor tractography in pontine infarct. Annals of Neurology. 64(4). 460–465. 62 indexed citations
15.
Min, Kyoung‐Bok, Jin‐Young Min, Domyung Paek, Joon Sakong, & Sung‐Il Cho. (2006). Parental effects on children's neurobehavioral function. NeuroToxicology. 28(2). 426–431. 2 indexed citations
16.
Kim, Eun A., Hae‐Kwan Cheong, Dae Seob Choi, et al.. (2006). Effect of occupational manganese exposure on the central nervous system of welders: 1H magnetic resonance spectroscopy and MRI findings. NeuroToxicology. 28(2). 276–283. 37 indexed citations
17.
Sakong, Joon, et al.. (2005). Investigation of Defecographic Findings in Patients with Pelvic Outlet Obstructive Disease. 21(6). 376–383. 1 indexed citations
18.
Sakong, Joon, et al.. (2003). Impacct of Subjects' Characteristics and Test Conditions on Reliability of Neurobehavioral Tests. Annals of Occupational and Environmental Medicine. 15(2). 188–195. 1 indexed citations
19.
Sakong, Joon, et al.. (2003). Cross-Cultural Comparison of Neurobehavioral Performance in Asian Workers. NeuroToxicology. 24(4-5). 533–540. 18 indexed citations
20.
Sakong, Joon, et al.. (2003). Impact of Subject and Time Related Factors on Reliability of Neurobehavioral Tests. Annals of Occupational and Environmental Medicine. 15(2). 188–195. 1 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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