Gyeong Sin Park

1.0k total citations
40 papers, 727 citations indexed

About

Gyeong Sin Park is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gyeong Sin Park has authored 40 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Pathology and Forensic Medicine and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gyeong Sin Park's work include Lymphoma Diagnosis and Treatment (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers) and Cancer Genomics and Diagnostics (4 papers). Gyeong Sin Park is often cited by papers focused on Lymphoma Diagnosis and Treatment (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers) and Cancer Genomics and Diagnostics (4 papers). Gyeong Sin Park collaborates with scholars based in South Korea, United States and South Africa. Gyeong Sin Park's co-authors include Chan Kwon Jung, Sug Hyung Lee, Won Sang Park, Ja Seong Bae, Ji Youn Han, Min Sun Shin, Jung Young Lee, Chang Suk Kang, Seung Eun Jung and Su Young Kim and has published in prestigious journals such as Nature Communications, Cancer Research and Oncogene.

In The Last Decade

Gyeong Sin Park

38 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gyeong Sin Park South Korea 15 284 206 126 122 115 40 727
Luis E. De Las Casas United States 16 197 0.7× 327 1.6× 136 1.1× 91 0.7× 35 0.3× 65 828
Giada Maria Vecchio Italy 18 184 0.6× 135 0.7× 106 0.8× 140 1.1× 25 0.2× 51 729
Betsy O. Spaulding United States 16 348 1.2× 312 1.5× 147 1.2× 84 0.7× 26 0.2× 19 725
Jong‐Hee Nam South Korea 14 282 1.0× 205 1.0× 227 1.8× 116 1.0× 80 0.7× 41 805
Xu Cai China 19 160 0.6× 394 1.9× 214 1.7× 67 0.5× 45 0.4× 53 888
Tomoko Haba Japan 13 146 0.5× 169 0.8× 253 2.0× 57 0.5× 162 1.4× 30 928
Guo‐Xia Tong United States 13 323 1.1× 152 0.7× 208 1.7× 56 0.5× 52 0.5× 23 663
H. Choritz Germany 17 248 0.9× 100 0.5× 82 0.7× 69 0.6× 147 1.3× 32 1.1k
Zeina Ghorab Canada 18 145 0.5× 252 1.2× 196 1.6× 129 1.1× 32 0.3× 62 892
Inny Busmanis Singapore 15 130 0.5× 185 0.9× 210 1.7× 278 2.3× 33 0.3× 46 836

Countries citing papers authored by Gyeong Sin Park

Since Specialization
Citations

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

Fields of papers citing papers by Gyeong Sin Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gyeong Sin Park. 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 Gyeong Sin Park. The network helps show where Gyeong Sin Park may publish in the future.

Co-authorship network of co-authors of Gyeong Sin Park

This figure shows the co-authorship network connecting the top 25 collaborators of Gyeong Sin Park. A scholar is included among the top collaborators of Gyeong Sin Park 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 Gyeong Sin Park. Gyeong Sin Park 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.
Kim, Yoon‐Seob, Gyeong Sin Park, Yeun‐Jun Chung, & Ji Hyun Lee. (2023). Whole‐exome sequencing of secondary tumors arising from nevus sebaceous revealed additional genomic alterations besides RAS mutations. The Journal of Dermatology. 50(8). 1072–1075. 2 indexed citations
3.
Kim, Yoon‐Seob, Gyeong Sin Park, Chul Hwan Bang, & Yeun‐Jun Chung. (2022). Genomic landscape of multiple Bowenʼs disease using whole‐exome sequencing. The Journal of Dermatology. 50(3). 397–400. 1 indexed citations
4.
O, Joo Hyun, Soo Jin Kwon, Sung Hoon Kim, et al.. (2019). Predictive Value of Interim and End-of-Therapy 18F-FDG PET/CT in Patients with Follicular Lymphoma. Nuclear Medicine and Molecular Imaging. 53(4). 263–269. 14 indexed citations
5.
Jung, Su Kyung, et al.. (2017). CD34 + tumours of the orbit including solitary fibrous tumours: a six-case series. BMC Ophthalmology. 17(1). 59–59. 9 indexed citations
6.
Yeo, Chang Dong, Gyeong Sin Park, Nahyeon Kang, et al.. (2015). Bis Expression in Patients with Surgically Resected Lung Cancer and its Clinical Significance. Annals of Surgical Oncology. 22(S3). 1365–1370. 5 indexed citations
7.
Yeo, Min‐Kyung, et al.. (2014). Macrofollicular Variant of Papillary Thyroid Carcinoma with Extensive Lymph Node Metastases. Endocrine Pathology. 25(3). 265–272. 10 indexed citations
8.
Cho, Uiju, Ja Seong Bae, Sohee Lee, et al.. (2014). Clinicopathological Features of Rare BRAF Mutations in Korean Thyroid Cancer Patients. Journal of Korean Medical Science. 29(8). 1054–1054. 32 indexed citations
9.
Kang, Hye Seon, Heayon Lee, Seung Joon Kim, et al.. (2014). An Unusual Presentation of Pulmonary Mucosa-Associated Lymphoid Tissue Lymphoma as Diffuse Pulmonary Infiltrates with Spontaneous Regression. Cancer Research and Treatment. 47(4). 943–948. 5 indexed citations
10.
Kim, Min‐Hee, et al.. (2014). Quantification of BRAF V600E alleles predicts papillary thyroid cancer progression. Endocrine Related Cancer. 21(6). 891–902. 29 indexed citations
11.
Im, Soo Ah, et al.. (2013). Langerhans Cell Sarcoma in Two Young Children: Imaging Findings on Initial Presentation and Recurrence. Korean Journal of Radiology. 14(3). 520–520. 11 indexed citations
12.
Im, Soo Ah, et al.. (2011). Necrotic intramuscular chloroma with infection: magnetic resonance imaging features. Japanese Journal of Radiology. 29(10). 735–738. 2 indexed citations
13.
Kim, Sung Hun, et al.. (2010). The potential role of dynamic MRI in assessing the effectiveness of high-intensity focused ultrasound ablation of breast cancer. International Journal of Hyperthermia. 26(6). 594–603. 31 indexed citations
14.
Lee, Kyu Sang, Gyeong Sin Park, Sook Hee Hong, et al.. (2010). Prognostic relevance of collagen XVIII expression in metastatic gastric carcinoma. Tumor Biology. 31(3). 165–170. 5 indexed citations
15.
Sung, Hye Young, Dae Young Cheung, Se-Hyun Cho, et al.. (2009). Polyps in the gastrointestinal tract: discrepancy between endoscopic forceps biopsies and resected specimens. European Journal of Gastroenterology & Hepatology. 21(2). 190–195. 47 indexed citations
16.
17.
Oh, Soon Nam, Seung Eun Jung, Jae Mun Lee, Jae Hee Chung, & Gyeong Sin Park. (2007). Sonographic diagnosis of a round ligament cyst in the inguinal area. Journal of Clinical Ultrasound. 35(4). 226–228. 11 indexed citations
18.
Lee, Youn Soo, Gyeong Sin Park, Min‐Sik Kim, et al.. (2004). Loss of Heterozygosity on Chromosomes 3p, 8p, 9p and 17p in the Progression of Squamous Cell Carcinoma of the Larynx. Journal of Korean Medical Science. 19(3). 345–345. 19 indexed citations
19.
Byun, Jae Young, Sung Eun Rha, Seung Eun Jung, et al.. (2004). CT and MRI findings of cystadenofibromas of the ovary. European Radiology. 14(5). 798–804. 51 indexed citations
20.
Lee, Sug Hyung, Min Sun Shin, Won Sang Park, et al.. (1999). Alterations of Fas (Apo-1/CD95) gene in non-small cell lung cancer. Oncogene. 18(25). 3754–3760. 184 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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