Gahee Park

548 total citations
27 papers, 285 citations indexed

About

Gahee Park is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gahee Park has authored 27 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 13 papers in Cancer Research and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gahee Park's work include Cancer Genomics and Diagnostics (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Cancer Immunotherapy and Biomarkers (8 papers). Gahee Park is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Cancer Immunotherapy and Biomarkers (8 papers). Gahee Park collaborates with scholars based in South Korea, United States and United Kingdom. Gahee Park's co-authors include Woong‐Yang Park, Donghyun Park, Dae‐Soon Son, Hyo Jeong Jeon, Yeon Jeong Kim, Seung‐Ho Shin, Kwang Hyuck Lee, Joo Kyung Park, Chan‐Young Ock and Jongsuk Chung and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Gahee Park

22 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gahee Park South Korea	10	134	107	104	59	48	27	285
Marie Klintman Sweden	11	211 1.6×	116 1.1×	203 2.0×	57 1.0×	84 1.8×	20	355
Marit Valla Norway	10	103 0.8×	106 1.0×	103 1.0×	56 0.9×	36 0.8×	23	307
Weizhu Wu China	12	141 1.1×	152 1.4×	65 0.6×	33 0.6×	41 0.9×	21	275
Zhimin Shao China	12	187 1.4×	100 0.9×	112 1.1×	36 0.6×	94 2.0×	23	362
Biyuan Wang China	9	144 1.1×	93 0.9×	116 1.1×	54 0.9×	95 2.0×	13	303
Amna Sheri United Kingdom	9	147 1.1×	61 0.6×	200 1.9×	72 1.2×	66 1.4×	20	306
Marcin Nicoś Poland	11	157 1.2×	191 1.8×	170 1.6×	164 2.8×	43 0.9×	43	417
Marcelo Sobral‐Leite Brazil	8	94 0.7×	64 0.6×	169 1.6×	52 0.9×	36 0.8×	15	258
Tor Audun Klingen Norway	11	81 0.6×	64 0.6×	197 1.9×	134 2.3×	95 2.0×	21	353
Borgny Ytterhus Norway	11	125 0.9×	192 1.8×	178 1.7×	53 0.9×	57 1.2×	23	370

Countries citing papers authored by Gahee Park

Since Specialization

Citations

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

Fields of papers citing papers by Gahee Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gahee Park

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

All Works

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20 of 20 papers shown

Rossi, Sabrina H., Gahee Park, Christopher G. Smith, et al.. (2025). Evidence of DNA methylation heterogeneity and epipolymorphism in kidney cancer tissue samples. Oncogene. 44(15). 1024–1036.

Hanauer, S. B., Silvio Danese, Jean–Frédéric Colombel, et al.. (2025). TWO-YEAR RESULTS OF SUBCUTANEOUS INFLIXIMAB (CT-P13 SC) DOSE ESCALATION THERAPY - FROM LIBERTY-CD AND LIBERTY-UC. Gastroenterology. 168(3). S18–S19.

Lee, Kyu Sang, Soo Ick Cho, Seonwook Park, et al.. (2024). An artificial intelligence‐powered PD‐L1 combined positive score (CPS) analyser in urothelial carcinoma alleviating interobserver and intersite variability. Histopathology. 85(1). 81–91. 5 indexed citations

Park, Gahee, Yoojoo Lim, Chan‐Young Ock, et al.. (2024). Changes in the tumor microenvironment in recurrent head and neck squamous cell carcinoma and its implication on efficacy of immune checkpoint inhibitors. Discover Oncology. 15(1). 686–686.

Ahn, Jong Seok, Gahee Park, Yoojoo Lim, et al.. (2024). Comparison of Tumor Microenvironments between Primary Tumors and Lymph Node Metastases in Head and Neck Squamous Cell Carcinoma and Their Predictive Role in Immune Checkpoint Inhibitor Treatment. Cells. 13(18). 1557–1557. 2 indexed citations

Jung, Minsun, Soo Ick Cho, Sangwon Shin, et al.. (2024). Augmented interpretation of HER2, ER, and PR in breast cancer by artificial intelligence analyzer: enhancing interobserver agreement through a reader study of 201 cases. Breast Cancer Research. 26(1). 31–31. 14 indexed citations

Lim, Yoojoo, Chan‐Young Ock, Gahee Park, et al.. (2023). Artificial intelligence‐powered spatial analysis of tumor‐infiltrating lymphocytes as a predictive biomarker for axitinib in adenoid cystic carcinoma. Head & Neck. 45(12). 3086–3095. 5 indexed citations

Kim, Sukjun, Sanghoon Song, Gahee Park, et al.. (2023). Correlation of fragmented pattern of tumor mass captured by artificial intelligence (AI)-powered whole-slide image (WSI) analysis with biased fibroblast expansion over tumor growth and distinct mutational signatures.. Journal of Clinical Oncology. 41(16_suppl). e14657–e14657. 1 indexed citations

Park, Gahee, Jongchan Park, Jeanne Shen, et al.. (2023). Relationship between tumor microenvironment (TME)-based histomic TGFβ signature (TGFBs), stromal fibroblast recruitment, and exclusion of immune cells as immunotherapy resistance mechanisms.. Journal of Clinical Oncology. 41(16_suppl). 2585–2585. 1 indexed citations

10.

Choi, Sangjoon, Soo Ick Cho, Taebum Lee, et al.. (2023). Deep learning model improves tumor-infiltrating lymphocyte evaluation and therapeutic response prediction in breast cancer. npj Breast Cancer. 9(1). 71–71. 23 indexed citations

11.

Kim, Hye Sung, Gahee Park, Sukjun Kim, et al.. (2023). Papillary thyroid cancer immune phenotypes via tumor-infiltrating lymphocyte spatial analysis. Endocrine Related Cancer. 30(9). 4 indexed citations

12.

Rossi, Sabrina H., Kevin Brennan, Gahee Park, et al.. (2022). Accurate detection of benign and malignant renal tumor subtypes with MethylBoostER: An epigenetic marker–driven learning framework. Science Advances. 8(39). eabn9828–eabn9828. 7 indexed citations

13.

Park, Jonghanne, Grace M. Lee, Hye Sung Kim, et al.. (2022). Artificial Intelligence–Powered Hematoxylin and Eosin Analyzer Reveals Distinct Immunologic and Mutational Profiles among Immune Phenotypes in Non–Small-Cell Lung Cancer. American Journal Of Pathology. 192(4). 701–711. 13 indexed citations

14.

Kim, Na Hyun, Sanghoon Song, Gahee Park, et al.. (2022). Abstract 644: Deep learning-based H&E analyzer reveals distinct immune profiles and clinical outcomes among immune phenotypes in uterine corpus endometrial carcinoma. Cancer Research. 82(12_Supplement). 644–644. 1 indexed citations

15.

Combe, Bernard, Yannick Allanore, Rieke Alten, et al.. (2021). Comparative efficacy of subcutaneous (CT-P13) and intravenous infliximab in adult patients with rheumatoid arthritis: a network meta-regression of individual patient data from two randomised trials. Arthritis Research & Therapy. 23(1). 119–119. 14 indexed citations

16.

Park, Gahee, Joo Kyung Park, Dae‐Soon Son, et al.. (2018). Utility of targeted deep sequencing for detecting circulating tumor DNA in pancreatic cancer patients. Scientific Reports. 8(1). 43 indexed citations

17.

Park, Gahee, Joo Kyung Park, Seung‐Ho Shin, et al.. (2017). Characterization of background noise in capture-based targeted sequencing data. Genome biology. 18(1). 136–136. 40 indexed citations

18.

Lim, Yong Bin, et al.. (2017). Conjoint analysis by merging attributes. Journal of the Korean society for quality management. 45(1). 55–64. 1 indexed citations

19.

Yang, Lixing, Mi-Sook Lee, Hengyu Lu, et al.. (2016). Analyzing Somatic Genome Rearrangements in Human Cancers by Using Whole-Exome Sequencing. The American Journal of Human Genetics. 98(5). 843–856. 29 indexed citations

20.

Park, Gahee, Tae Hyuk Kim, Hae‐Ock Lee, et al.. (2014). Standard immunohistochemistry efficiently screens for anaplastic lymphoma kinase rearrangements in differentiated thyroid cancer. Endocrine Related Cancer. 22(1). 55–63. 26 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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