Yeon-Hee Kim

475 total citations
12 papers, 370 citations indexed

About

Yeon-Hee Kim is a scholar working on Nutrition and Dietetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Yeon-Hee Kim has authored 12 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nutrition and Dietetics, 3 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Yeon-Hee Kim's work include Metabolomics and Mass Spectrometry Studies (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Advanced Chemical Sensor Technologies (2 papers). Yeon-Hee Kim is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Advanced Chemical Sensor Technologies (2 papers). Yeon-Hee Kim collaborates with scholars based in South Korea and United States. Yeon-Hee Kim's co-authors include Jun-Bae Hong, Chul‐Ho Jun, Choong Woon Moon, Song‐Hae Bok, Myung-Sook Choi, Yong Bok Park, Moon Kyoo Jang, Seung-Min Lee, Tae‐Sook Jeong and Seon‐Min Jeon and has published in prestigious journals such as Scientific Reports, Chemistry - A European Journal and Molecules.

In The Last Decade

Yeon-Hee Kim

11 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeon-Hee Kim South Korea 7 137 76 53 47 42 12 370
Luana K. Dragani Italy 11 61 0.4× 121 1.6× 29 0.5× 44 0.9× 28 0.7× 14 378
Xinghua Li China 12 101 0.7× 125 1.6× 30 0.6× 33 0.7× 59 1.4× 30 476
Subasini Uthirapathy Iraq 9 45 0.3× 103 1.4× 10 0.2× 17 0.4× 68 1.6× 58 363
正 石橋 China 11 59 0.4× 158 2.1× 37 0.7× 17 0.4× 44 1.0× 28 577
Wolfgang Zwickenpflug Germany 11 81 0.6× 152 2.0× 7 0.1× 64 1.4× 15 0.4× 21 404
N. Gopalan Kutty India 13 180 1.3× 144 1.9× 16 0.3× 25 0.5× 15 0.4× 23 522
Kun Xing China 11 228 1.7× 156 2.1× 14 0.3× 30 0.6× 14 0.3× 21 496
Manoj Kar India 11 38 0.3× 124 1.6× 29 0.5× 91 1.9× 21 0.5× 17 425
Frédéric Mazué France 9 50 0.4× 210 2.8× 16 0.3× 79 1.7× 83 2.0× 9 505
Hengyi Yu China 16 142 1.0× 232 3.1× 11 0.2× 33 0.7× 42 1.0× 36 531

Countries citing papers authored by Yeon-Hee Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yeon-Hee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeon-Hee Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yeon-Hee Kim. A scholar is included among the top collaborators of Yeon-Hee 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 Yeon-Hee Kim. Yeon-Hee Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Kim, Yeon-Hee, Chong Woo Yoo, Joo Yong Park, et al.. (2025). Oral microbial signatures underlying recurrence via PI3K/AKT/mTOR pathway modulation in oral squamous cell carcinoma. Journal of Oral Microbiology. 17(1). 2560020–2560020. 1 indexed citations
3.
Kim, Yeon-Hee, Jinsoo Chung, Hyung Ho Lee, Jin‐Hee Park, & Mi Kyung Kim. (2024). Influence of Dietary Polyunsaturated Fatty Acid Intake on Potential Lipid Metabolite Diagnostic Markers in Renal Cell Carcinoma: A Case-Control Study. Nutrients. 16(9). 1265–1265. 1 indexed citations
4.
Kim, Minju, et al.. (2022). High Iron Exposure from the Fetal Stage to Adulthood in Mice Alters Lipid Metabolism. Nutrients. 14(12). 2451–2451. 4 indexed citations
5.
Kim, Minju, et al.. (2022). Supplementation with High or Low Iron Reduces Colitis Severity in an AOM/DSS Mouse Model. Nutrients. 14(10). 2033–2033. 6 indexed citations
7.
Jeon, Soyeon, et al.. (2021). Taste Sensitivity of Elderly People Is Associated with Quality of Life and Inadequate Dietary Intake. Nutrients. 13(5). 1693–1693. 29 indexed citations
8.
Kang, Chang Moo, Minju Kim, Yeon-Hee Kim, et al.. (2019). Postoperative serum metabolites of patients on a low carbohydrate ketogenic diet after pancreatectomy for pancreatobiliary cancer: a nontargeted metabolomics pilot study. Scientific Reports. 9(1). 16820–16820. 29 indexed citations
9.
Kim, Yeon-Hee, et al.. (2019). Changes in taste and food preferences in breast cancer patients receiving chemotherapy: a pilot study. Supportive Care in Cancer. 28(3). 1265–1275. 16 indexed citations
10.
Kim, Yeon-Hee, et al.. (2019). Potential Photoprotective Effect of Dietary Corn Silk Extract on Ultraviolet B-Induced Skin Damage. Molecules. 24(14). 2587–2587. 22 indexed citations
11.
Jeon, Seon‐Min, Song‐Hae Bok, Moon Kyoo Jang, et al.. (2002). Comparison of antioxidant effects of naringin and probucol in cholesterol-fed rabbits. Clinica Chimica Acta. 317(1-2). 181–190. 125 indexed citations
12.
Jun, Chul‐Ho, et al.. (2002). Chelation-Assisted RhI-Catalyzed ortho-Alkylation of Aromatic Ketimines or Ketones with Olefins. Chemistry - A European Journal. 8(2). 485–492. 131 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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