Hye Jin Choi

13.8k total citations · 2 hit papers
239 papers, 9.1k citations indexed

About

Hye Jin Choi is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Hye Jin Choi has authored 239 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Oncology, 64 papers in Pulmonary and Respiratory Medicine and 62 papers in Surgery. Recurrent topics in Hye Jin Choi's work include Cholangiocarcinoma and Gallbladder Cancer Studies (37 papers), Pancreatic and Hepatic Oncology Research (37 papers) and Hepatocellular Carcinoma Treatment and Prognosis (25 papers). Hye Jin Choi is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (37 papers), Pancreatic and Hepatic Oncology Research (37 papers) and Hepatocellular Carcinoma Treatment and Prognosis (25 papers). Hye Jin Choi collaborates with scholars based in South Korea, United States and China. Hye Jin Choi's co-authors include Myunghyun Paik Suh, Jeffrey R. Long, Mircea Dincă, Ssang‐Goo Cho, Ahmed Abdal Dayem, Gwang‐Mo Yang, Kyeongseok Kim, Subbroto Kumar Saha, Soo Lee and Mohammed Hossain and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Hye Jin Choi

226 papers receiving 8.9k citations

Hit Papers

The Role of Reactive Oxyg... 2011 2026 2016 2021 2017 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hye Jin Choi South Korea 45 3.0k 2.7k 2.6k 1.8k 1.4k 239 9.1k
Xiao‐Jun Zhao China 44 1.6k 0.5× 1.6k 0.6× 2.7k 1.1× 916 0.5× 3.7k 2.8× 187 9.9k
Masako Kato Japan 50 2.1k 0.7× 4.6k 1.7× 2.4k 0.9× 2.2k 1.2× 1.3k 1.0× 461 11.1k
Yoshiyuki Hattori Japan 60 1.5k 0.5× 2.8k 1.0× 657 0.3× 873 0.5× 4.2k 3.1× 349 11.9k
Le Xu China 38 1.2k 0.4× 2.1k 0.8× 828 0.3× 377 0.2× 879 0.6× 168 4.8k
Kiyoshi Fujisawa Japan 44 3.2k 1.1× 1.6k 0.6× 2.4k 0.9× 1.5k 0.9× 757 0.6× 235 6.8k
Changchun Wang China 75 1.8k 0.6× 9.6k 3.6× 808 0.3× 2.0k 1.1× 2.7k 2.0× 422 21.8k
Eun Young Lee South Korea 37 1.5k 0.5× 1.0k 0.4× 567 0.2× 717 0.4× 806 0.6× 187 5.5k
Yongjun Liu China 51 711 0.2× 2.4k 0.9× 484 0.2× 709 0.4× 2.2k 1.6× 503 9.8k
Yoshio Aso Japan 55 281 0.1× 2.5k 0.9× 1.1k 0.4× 1.5k 0.8× 1.1k 0.8× 481 11.9k
Naoya Yoshida Japan 54 281 0.1× 2.4k 0.9× 3.3k 1.3× 457 0.3× 2.6k 1.9× 375 11.9k

Countries citing papers authored by Hye Jin Choi

Since Specialization
Citations

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

Fields of papers citing papers by Hye Jin Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hye Jin Choi. 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 Hye Jin Choi. The network helps show where Hye Jin Choi may publish in the future.

Co-authorship network of co-authors of Hye Jin Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Hye Jin Choi. A scholar is included among the top collaborators of Hye Jin Choi 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 Hye Jin Choi. Hye Jin Choi 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.
Choi, Hye Jin, et al.. (2025). Metal Oxide-based Electrochemical Non-enzymatic Glucose Biosensors: A Mini-Review. Journal of Sensor Science and Technology. 34(2). 105–115. 5 indexed citations
4.
5.
Kim, Sunkyu, Seung‐seob Kim, Eejung Kim, et al.. (2024). Deep-Transfer-Learning–Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer. JCO Clinical Cancer Informatics. 8(8). e2400021–e2400021. 2 indexed citations
6.
Kwon, Jung Hye, Seung‐Hoon Beom, Sang Joon Shin, et al.. (2023). Outcomes of an Acute Palliative Care Unit at a Comprehensive Cancer Center in Korea. SHILAP Revista de lepidopterología. 4(1). 9–16. 1 indexed citations
7.
Ryoo, Baek‐Yeol, Ann‐Lii Cheng, Zhenggang Ren, et al.. (2021). Randomised Phase 1b/2 trial of tepotinib vs sorafenib in Asian patients with advanced hepatocellular carcinoma with MET overexpression. British Journal of Cancer. 125(2). 200–208. 36 indexed citations
8.
Park, Ji‐Woong, et al.. (2021). CTGAN VS TGAN? Which one is more suitable for generating synthetic EEG data. Journal of Theoretical and Applied Information Technology. 99(10). 2359–2372. 18 indexed citations
9.
Choi, Jinhyun, Se Hoon Kim, Sung Soo Ahn, et al.. (2020). Extent of resection and molecular pathologic subtype are potent prognostic factors of adult WHO grade II glioma. Scientific Reports. 10(1). 2086–2086. 44 indexed citations
10.
Baek, Song‐Ee, et al.. (2020). Human Organic Anion Transporting Polypeptide 1B3 Applied as an MRI-Based Reporter Gene. Korean Journal of Radiology. 21(6). 726–726. 3 indexed citations
11.
Lee, Yun Young, Hye Jin Choi, So Young Lee, et al.. (2019). Bcl-2 Overexpression Induces Neurite Outgrowth via the Bmp4/Tbx3/NeuroD1 Cascade in H19-7 Cells. Cellular and Molecular Neurobiology. 40(1). 153–166. 9 indexed citations
12.
Kim, Won Kyu, Mi Jang, Minhee Park, et al.. (2019). β-catenin activation down-regulates cell-cell junction-related genes and induces epithelial-to-mesenchymal transition in colorectal cancers. Scientific Reports. 9(1). 18440–18440. 90 indexed citations
13.
Choi, Hye Jin, et al.. (2019). A Meta-analysis of the Effect of Music Therapy in Hospice and Palliative Care. 21(2). 75–102. 1 indexed citations
14.
Hossain, Mohammed Kamal, Subbroto Kumar Saha, Ahmed Abdal Dayem, et al.. (2018). Bax Inhibitor-1 Acts as an Anti-Influenza Factor by Inhibiting ROS Mediated Cell Death and Augmenting Heme-Oxygenase 1 Expression in Influenza Virus Infected Cells. International Journal of Molecular Sciences. 19(3). 712–712. 15 indexed citations
15.
16.
Kim, Soon Ho, et al.. (2011). The Development of an Oral Care Protocol for Cancer Patients Receiving Chemotherapy and its Effects. Journal of Korean Clinical Nursing Research. 17(1). 113–122. 3 indexed citations
17.
Hwang, Ho Kyoung, Yong Eun Chung, Hyun Ki Kim, et al.. (2011). Serous Cystic Neoplasm. 15(2). 134–138. 8 indexed citations
18.
Lee, Young Joo, Chang Geol Lee, Byoung Chul Cho, et al.. (2009). Weekly 5‐fluorouracil plus cisplatin for concurrent chemoradiotherapy in patients with locally advanced head and neck cancer. Head & Neck. 32(2). 235–243. 11 indexed citations
19.
Kim, Jinkwon, Ji Young Yoo, A-R Yoon, et al.. (2009). Double E1B 19 kDa- and E1B 55 kDa-deleted oncolytic adenovirus in combination with radiotherapy elicits an enhanced anti-tumor effect. Gene Therapy. 16(9). 1111–1121. 18 indexed citations
20.
Shin, Sang Joon, Joong Bae Ahn, Hye Jin Choi, et al.. (2007). The combination of capecitabine and irinotecan in treating 5-Fluorouracil- and Oxaliplatin-pretreated metastatic colorectal cancer. Cancer Chemotherapy and Pharmacology. 61(1). 75–81. 9 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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