Kyong‐Ah Yoon

2.2k total citations
76 papers, 1.6k citations indexed

About

Kyong‐Ah Yoon is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Kyong‐Ah Yoon has authored 76 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 25 papers in Oncology and 25 papers in Cancer Research. Recurrent topics in Kyong‐Ah Yoon's work include Cancer Genomics and Diagnostics (18 papers), Pancreatic and Hepatic Oncology Research (13 papers) and Lung Cancer Treatments and Mutations (9 papers). Kyong‐Ah Yoon is often cited by papers focused on Cancer Genomics and Diagnostics (18 papers), Pancreatic and Hepatic Oncology Research (13 papers) and Lung Cancer Treatments and Mutations (9 papers). Kyong‐Ah Yoon collaborates with scholars based in South Korea, United States and Japan. Kyong‐Ah Yoon's co-authors include Yusuke Nakamura, Hirofumi Arakawa, Jin Soo Lee, Sun‐Young Kong, Sohee Park, Jin Hee Kim, Ji‐Youn Han, Jungnam Joo, So Yeong Lee and Eun Sook Lee and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and PLoS ONE.

In The Last Decade

Kyong‐Ah Yoon

73 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyong‐Ah Yoon South Korea 23 910 593 526 368 185 76 1.6k
Hongling Peng China 24 885 1.0× 470 0.8× 404 0.8× 205 0.6× 142 0.8× 117 1.7k
Òscar M. Tirado Spain 28 952 1.0× 297 0.5× 435 0.8× 533 1.4× 160 0.9× 57 1.8k
Gregory J. Riggins United States 21 1.0k 1.1× 326 0.5× 432 0.8× 158 0.4× 193 1.0× 35 1.9k
S. John Weroha United States 21 741 0.8× 368 0.6× 610 1.2× 174 0.5× 126 0.7× 71 1.5k
Xiaohu Tang United States 28 1.8k 1.9× 1.1k 1.8× 516 1.0× 281 0.8× 119 0.6× 40 2.4k
Francesca Andriani Italy 20 1.1k 1.2× 693 1.2× 1.0k 1.9× 401 1.1× 110 0.6× 40 1.9k
Murugan Kalimutho Australia 23 1.2k 1.3× 589 1.0× 727 1.4× 237 0.6× 185 1.0× 39 2.0k
Yixing Jiang United States 23 975 1.1× 312 0.5× 680 1.3× 366 1.0× 152 0.8× 81 1.9k
Laure Marignol Ireland 25 750 0.8× 598 1.0× 320 0.6× 472 1.3× 67 0.4× 83 1.6k
Zhong Wu China 23 922 1.0× 439 0.7× 328 0.6× 370 1.0× 88 0.5× 86 1.7k

Countries citing papers authored by Kyong‐Ah Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Kyong‐Ah Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyong‐Ah Yoon. 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 Kyong‐Ah Yoon. The network helps show where Kyong‐Ah Yoon may publish in the future.

Co-authorship network of co-authors of Kyong‐Ah Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Kyong‐Ah Yoon. A scholar is included among the top collaborators of Kyong‐Ah Yoon 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 Kyong‐Ah Yoon. Kyong‐Ah Yoon 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.
Lee, Ji Hun, Han Saem Jeong, Wan Joo Shim, et al.. (2024). Development of a novel complex inflammatory bowel disease mouse model: Reproducing human inflammatory bowel disease etiologies in mice. PLoS ONE. 19(11). e0311310–e0311310. 1 indexed citations
3.
Yoon, Hun‐Young, et al.. (2024). Establishment and characterization of six canine hepatocellular carcinoma cell lines. Frontiers in Veterinary Science. 11. 1392728–1392728. 2 indexed citations
4.
Kim, Sang-Won, et al.. (2023). Case report: Toceranib as adjuvant chemotherapy in a dog with incompletely resected combined hepatocellular-cholangiocarcinoma. Frontiers in Veterinary Science. 9. 963390–963390. 1 indexed citations
5.
Lee, Ja Young, et al.. (2021). Establishment of Canine Transitional Cell Carcinoma Cell Lines Harboring BRAF V595E Mutation as a Therapeutic Target. International Journal of Molecular Sciences. 22(17). 9151–9151. 15 indexed citations
6.
7.
Yoon, Kyong‐Ah, Sang Myung Woo, Yun‐Hee Kim, et al.. (2019). Comprehensive Cancer Panel Sequencing Defines Genetic Diversity and Changes in the Mutational Characteristics of Pancreatic Cancer Patients Receiving Neoadjuvant Treatment. Gut and Liver. 13(6). 683–689. 16 indexed citations
8.
Yoon, Kyong‐Ah, et al.. (2019). EI24, as a Component of Autophagy, Is Involved in Pancreatic Cell Proliferation. Frontiers in Oncology. 9. 652–652. 15 indexed citations
9.
Kong, Sun‐Young, Hyeon-Su Im, Hwa Jung Kim, et al.. (2019). Genome-wide copy number alteration and VEGFA amplification of circulating cell-free DNA as a biomarker in advanced hepatocellular carcinoma patients treated with Sorafenib. BMC Cancer. 19(1). 292–292. 56 indexed citations
10.
Lee, Ki Hong, Kyong‐Ah Yoon, Eunyoung Lee, et al.. (2017). Chromothripsis in Treatment Resistance in Multiple Myeloma. Genomics & Informatics. 15(3). 87–97. 15 indexed citations
11.
Yoon, Kyong‐Ah, et al.. (2017). A Novel Germline Mutation inBRCA1Causes Exon 20 Skipping in a Korean Family with a History of Breast Cancer. Journal of Breast Cancer. 20(3). 310–310. 4 indexed citations
12.
Kim, Sunshin, Ji Won Lee, Yun Hee Kim, et al.. (2017). C-terminally mutated tubby protein accumulates in aggresomes. BMB Reports. 50(1). 37–42. 9 indexed citations
13.
Yoon, Kyong‐Ah, Sang Myung Woo, Eun Kyung Hong, et al.. (2015). Cytidine Deaminase as a Molecular Predictor of Gemcitabine Response in Patients with Biliary Tract Cancer. Oncology. 89(6). 345–350. 12 indexed citations
14.
Yoon, Kyong‐Ah, et al.. (2014). Genetic Variations Associated with Postoperative Recurrence in Stage I Non–Small Cell Lung Cancer. Clinical Cancer Research. 20(12). 3272–3279. 11 indexed citations
15.
Lee, Young Joo, Kyong‐Ah Yoon, Ji‐Youn Han, et al.. (2011). Circulating Cell-Free DNA in Plasma of Never Smokers with Advanced Lung Adenocarcinoma Receiving Gefitinib or Standard Chemotherapy as First-Line Therapy. Clinical Cancer Research. 17(15). 5179–5187. 64 indexed citations
16.
Yoon, Kyong‐Ah, Ji‐Hye Han, Sohee Park, et al.. (2010). A genome-wide association study reveals susceptibility variants for non-small cell lung cancer in the Korean population. Human Molecular Genetics. 19(24). 4948–4954. 66 indexed citations
17.
Jang, Soo Hwa, Changsun Choi, Seong-Geun Hong, et al.. (2009). Silencing of Kv4.1 potassium channels inhibits cell proliferation of tumorigenic human mammary epithelial cells. Biochemical and Biophysical Research Communications. 384(2). 180–186. 20 indexed citations
18.
Yoon, Kyong‐Ah, et al.. (2008). Hypermethylation and aberrant expression of galanin in human gastric cancer. Cancer Research. 68. 4295–4295. 1 indexed citations
19.
Yoon, Kyong‐Ah, et al.. (2007). CYP1B1, CYP1A1, MPO, and GSTP1 polymorphisms and lung cancer risk in never-smoking Korean women. Lung Cancer. 60(1). 40–46. 52 indexed citations
20.
Choi, Ik‐Young, Lee Y, Kyong‐Ah Yoon, et al.. (2000). The Role of Genetic Polymorphism of Cytochrome P450 2E1 in Bladder Cancer in Korea.. 22(1). 59–67. 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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