Jeongseon Kim

24.0k total citations
264 papers, 6.2k citations indexed

About

Jeongseon Kim is a scholar working on Public Health, Environmental and Occupational Health, Nutrition and Dietetics and Oncology. According to data from OpenAlex, Jeongseon Kim has authored 264 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Public Health, Environmental and Occupational Health, 70 papers in Nutrition and Dietetics and 50 papers in Oncology. Recurrent topics in Jeongseon Kim's work include Nutritional Studies and Diet (82 papers), Nutrition, Health and Food Behavior (39 papers) and Helicobacter pylori-related gastroenterology studies (35 papers). Jeongseon Kim is often cited by papers focused on Nutritional Studies and Diet (82 papers), Nutrition, Health and Food Behavior (39 papers) and Helicobacter pylori-related gastroenterology studies (35 papers). Jeongseon Kim collaborates with scholars based in South Korea, United States and Puerto Rico. Jeongseon Kim's co-authors include Aesun Shin, Jeonghee Lee, Hae Dong Woo, Young Ae Cho, Jae Hwan Oh, Sohee Park, Il Ju Choi, Wook Choi, Hee Jin Chang and Dae Kyung Sohn and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jeongseon Kim

252 papers receiving 6.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeongseon Kim South Korea 45 1.6k 1.4k 1.3k 989 955 264 6.2k
Taiki Yamaji Japan 46 1.6k 1.0× 1.3k 0.9× 1.4k 1.1× 788 0.8× 918 1.0× 294 7.3k
Paul Terry United States 48 1.8k 1.2× 956 0.7× 2.1k 1.6× 1.1k 1.1× 899 0.9× 150 6.6k
Giovanna Masala Italy 49 2.1k 1.4× 1.1k 0.8× 1.0k 0.8× 771 0.8× 1.2k 1.2× 189 6.3k
Hui Cai United States 53 2.0k 1.3× 1.6k 1.2× 1.5k 1.2× 528 0.5× 1.1k 1.1× 223 7.3k
Taichi Shimazu Japan 48 2.1k 1.3× 1.3k 1.0× 1.7k 1.4× 1.2k 1.2× 1.0k 1.1× 303 8.6k
Marit B. Veierød Norway 48 2.0k 1.3× 746 0.5× 1.4k 1.1× 1.1k 1.1× 1.2k 1.3× 232 7.6k
Stephanie J. Weinstein United States 50 1.1k 0.7× 2.4k 1.7× 1.2k 0.9× 843 0.9× 1.0k 1.1× 218 7.1k
Shinkan Tokudome Japan 49 1.6k 1.0× 1.3k 0.9× 1.7k 1.3× 797 0.8× 980 1.0× 226 7.7k
Salvatore Panico Italy 48 2.0k 1.3× 1.5k 1.1× 980 0.8× 801 0.8× 1.1k 1.2× 211 7.5k
NaNa Keum United States 34 1.7k 1.1× 1.1k 0.8× 1.7k 1.3× 443 0.4× 1.4k 1.4× 54 6.4k

Countries citing papers authored by Jeongseon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jeongseon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeongseon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jeongseon Kim. A scholar is included among the top collaborators of Jeongseon Kim 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 Jeongseon Kim. Jeongseon Kim 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
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Gunathilake, Madhawa, Jeong Hee Lee, Jae Hwan Oh, et al.. (2024). A higher dietary alpha-linolenic acid intake is associated with lower colorectal cancer risk based on MUC4 rs2246901 variant among Korean adults. Nutrition Research. 131. 71–82. 2 indexed citations
3.
Jun, Shinyoung, Jeonghee Lee, & Jeongseon Kim. (2023). Association of Dietary Fiber Intake With Gastrointestinal Tract Cancer Among Korean Adults. JAMA Network Open. 6(3). e234680–e234680. 3 indexed citations
4.
Gunathilake, Madhawa, Jeonghee Lee, Il Ju Choi, et al.. (2023). Functional Annotation and Gene Set Analysis of Gastric Cancer Risk Loci in a Korean Population. Cancer Research and Treatment. 56(1). 191–198. 2 indexed citations
5.
Jun, Shinyoung, et al.. (2023). Dietary intake and cancer incidence in Korean adults: a systematic review and meta-analysis of observational studies. Epidemiology and Health. 45. e2023102–e2023102. 3 indexed citations
6.
Lee, Eunjung, Amie E. Hwang, Dennis Deapen, et al.. (2022). Endoscopy screening in high-risk populations as a strategy to improve early detection of gastric cancer in the United States. 2(1). 2 indexed citations
7.
Butt, Julia, Matthew G. Varga, Tianyi Wang, et al.. (2019). Smoking, Helicobacter Pylori Serology, and Gastric Cancer Risk in Prospective Studies from China, Japan, and Korea. Cancer Prevention Research. 12(10). 667–674. 42 indexed citations
8.
Lee, Eun Sook, Sun‐Young Kong, So‐Youn Jung, et al.. (2019). <p>Night-shift work and risk of breast cancer in Korean women</p>. Clinical Epidemiology. Volume 11. 743–751. 14 indexed citations
9.
10.
Cho, Young Ae, Jeonghee Lee, Jae Hwan Oh, et al.. (2018). Vitamin D receptor FokI polymorphism and the risks of colorectal cancer, inflammatory bowel disease, and colorectal adenoma. Scientific Reports. 8(1). 12899–12899. 25 indexed citations
11.
Cho, Young Ae & Jeongseon Kim. (2017). Association of IL4 , IL13 , and IL4R polymorphisms with gastrointestinal cancer risk: A meta-analysis. Journal of Epidemiology. 27(5). 215–220. 22 indexed citations
12.
Kim, Jeongseon, et al.. (2017). Index-Based Dietary Patterns and the Risk of Prostate Cancer. Clinical Nutrition Research. 6(4). 229–229. 13 indexed citations
13.
Kim, Jeongseon, et al.. (2016). Efficacy of Ginseng Supplements on Fatigue and Physical Performance: a Meta-analysis. Journal of Korean Medical Science. 31(12). 1879–1879. 51 indexed citations
14.
Choi, Wook & Jeongseon Kim. (2016). Nutritional Care of Gastric Cancer Patients with Clinical Outcomes and Complications: A Review. Clinical Nutrition Research. 5(2). 65–65. 40 indexed citations
15.
Kim, Woojin, et al.. (2015). Psychological Characteristics and Attention of Children with Short Stature : Multicenter, Case-control Study. 21(3). 174–180. 1 indexed citations
16.
Choi, Wook & Jeongseon Kim. (2014). Dietary Factors and the Risk of Thyroid Cancer: A Review. Clinical Nutrition Research. 3(2). 75–75. 52 indexed citations
17.
Park, Min Kyung, Hwayoung Noh, Hee Young Paik, et al.. (2012). Validity and Reliability of a Dish-based, Semi-quantitative Food Frequency Questionnaire for Korean Diet and Cancer Research. Asian Pacific Journal of Cancer Prevention. 13(2). 545–552. 19 indexed citations
18.
Kim, Jeongseon, Young Ae Cho, Dong-Hyun Kim, et al.. (2012). Dietary intake of folate and alcohol, MTHFR C677T polymorphism, and colorectal cancer risk in Korea. American Journal of Clinical Nutrition. 95(2). 405–412. 50 indexed citations
19.
Shin, Aesun, Chang Won Hong, Dae Kyung Sohn, et al.. (2011). Associations of Cigarette Smoking and Alcohol Consumption With Advanced or Multiple Colorectal Adenoma Risks: A Colonoscopy-based Case-Control Study in Korea. American Journal of Epidemiology. 174(5). 552–562. 42 indexed citations
20.
Kim, Jeongseon, et al.. (2011). Association of Dietary Factors with Osteoporosis in Postmenopausal Women. 9(1). 80–88. 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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