Chul Park

1.1k total citations · 1 hit paper
47 papers, 785 citations indexed

About

Chul Park is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Surgery. According to data from OpenAlex, Chul Park has authored 47 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 8 papers in Infectious Diseases and 7 papers in Surgery. Recurrent topics in Chul Park's work include Veterinary Oncology Research (4 papers), COVID-19 diagnosis using AI (4 papers) and COVID-19 Clinical Research Studies (3 papers). Chul Park is often cited by papers focused on Veterinary Oncology Research (4 papers), COVID-19 diagnosis using AI (4 papers) and COVID-19 Clinical Research Studies (3 papers). Chul Park collaborates with scholars based in South Korea, United States and Denmark. Chul Park's co-authors include Dae‐Hyun Lew, Jong Suk Song, Hyoung Rae Kim, Sunoh Kwon, Seungtaek Kim, Dong Joon Kim, Young Kee Shin, Min Seong Jang, Young-Hee Jin and William C. Lineaweaver and has published in prestigious journals such as SHILAP Revista de lepidopterología, Plastic & Reconstructive Surgery and Biotechnology and Bioengineering.

In The Last Decade

Chul Park

43 papers receiving 758 citations

Hit Papers

Natural Bis-Benzylisoquinoline Alkaloids-Tetrandrine, Fan... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chul Park South Korea 13 251 139 117 98 84 47 785
Taned Chitapanarux Thailand 13 181 0.7× 180 1.3× 63 0.5× 125 1.3× 14 0.2× 43 611
Shaoyan Zhang China 19 161 0.6× 160 1.2× 114 1.0× 423 4.3× 225 2.7× 70 937
Alireza Sadeghipour Iran 16 136 0.5× 95 0.7× 59 0.5× 61 0.6× 12 0.1× 66 695
Serdar Uğraş Türkiye 19 423 1.7× 178 1.3× 20 0.2× 299 3.1× 20 0.2× 104 1.5k
Ping Ji China 16 76 0.3× 157 1.1× 185 1.6× 49 0.5× 11 0.1× 67 709
Jihye Kim South Korea 18 52 0.2× 221 1.6× 77 0.7× 99 1.0× 20 0.2× 48 910
Zhang China 14 189 0.8× 170 1.2× 18 0.2× 83 0.8× 10 0.1× 191 926
Gudrun Pöschl Austria 6 130 0.5× 181 1.3× 46 0.4× 54 0.6× 46 0.5× 12 1.0k
Yu‐Ting Kuo Taiwan 13 442 1.8× 78 0.6× 144 1.2× 162 1.7× 9 0.1× 37 746
Andrew J. Ritchie United Kingdom 18 301 1.2× 124 0.9× 33 0.3× 526 5.4× 13 0.2× 34 1.1k

Countries citing papers authored by Chul Park

Since Specialization
Citations

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

Fields of papers citing papers by Chul Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chul Park

This figure shows the co-authorship network connecting the top 25 collaborators of Chul Park. A scholar is included among the top collaborators of Chul 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 Chul Park. Chul 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.
Jeong, Chang‐Won, et al.. (2025). Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset. BMC Medical Informatics and Decision Making. 25(1). 61–61. 1 indexed citations
2.
Jeong, Chang‐Won, et al.. (2024). The Development of an Artificial Intelligence Video Analysis-Based Web Application to Diagnose Oropharyngeal Dysphagia: A Pilot Study. Brain Sciences. 14(6). 546–546. 5 indexed citations
3.
Kang, Sora, Chul Park, Jinseok Lee, & Dukyong Yoon. (2022). Machine Learning Model for the Prediction of Hemorrhage in Intensive Care Units. Healthcare Informatics Research. 28(4). 364–375. 6 indexed citations
4.
Chung, Heewon, Hoon Ko, Wu Seong Kang, et al.. (2021). Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation. Journal of Medical Internet Research. 23(4). e27060–e27060. 25 indexed citations
5.
Kim, Hak Ryul, et al.. (2021). Mobile computed tomography for the efficient allocation of medical resources in patients with COVID-19 pneumonia. Medicine. 100(46). e27872–e27872. 2 indexed citations
6.
Park, Chul, Ryoung‐Eun Ko, Soo Jin Na, et al.. (2021). Outcomes of extracorporeal membrane oxygenation in adults with active hematologic and nonhematologic malignancy. Artificial Organs. 45(8). E236–E246. 4 indexed citations
8.
Ko, Hoon, Heewon Chung, Wu Seong Kang, et al.. (2020). An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Model. Journal of Medical Internet Research. 22(12). e25442–e25442. 51 indexed citations
9.
Yoo, Hongseok, et al.. (2020). Characteristics of fever and response to antipyretic therapy in military personnel with adenovirus-positive community-acquired pneumonia. Military Medical Research. 7(1). 6–6. 7 indexed citations
10.
Park, Chul. (2019). Risk factors associated with inpatient cardiac arrest during emergency endotracheal intubation at general wards. SHILAP Revista de lepidopterología. 34(3). 212–218. 15 indexed citations
11.
Yoon, Jihee, et al.. (2016). Efficacy of Yeast’ Vacuoles as Antimicrobial Agents to Escherichia coli Bacteremia in Rat. Current Microbiology. 74(1). 22–27. 4 indexed citations
12.
Park, Chul, et al.. (2014). Signal transducer and activators of transcription 3 regulates cryptotanshinone-induced apoptosis in human mucoepidermoid carcinoma cells. Pharmacognosy Magazine. 10(39). 622–622. 12 indexed citations
13.
Hwang, Ki‐Eun, Chul Park, Sujin Kwon, et al.. (2013). Synergistic induction of apoptosis by sulindac and simvastatin in A549 human lung cancer cells via reactive oxygen species-dependent mitochondrial dysfunction. International Journal of Oncology. 43(1). 262–270. 20 indexed citations
14.
Park, Chul, et al.. (2012). Uncommon Case of Bladder Struvite Urolithiasis in a Two Month Old Puppy. 29(3). 268–270. 1 indexed citations
15.
Sur, Jung‐Hyang, et al.. (2009). Therapeutic Effect of Cyclosporine Administration in a Dog with Pemphigus Foliaceus. Journal of Veterinary Clinics. 26(4). 340–343. 2 indexed citations
16.
Park, Chul, Jong‐Hyun Yoo, Dae Young Kim, & Hee‐Myung Park. (2008). Spontaneously Occurring Chemodectoma in a Yorkshire Terrier Dog. Journal of Veterinary Clinics. 25(3). 187–191. 3 indexed citations
17.
Park, Chul, et al.. (2008). Comparative Sensitivity of ARCHITECT Syphilis TP with Other Antibody Tests. 30(1). 217–221. 1 indexed citations
18.
Lee, Ji-Yun, et al.. (2003). Oral Malignant Melanoma in a Labrador Retriever. 한국임상수의학회지. 20(4). 489–492. 1 indexed citations
19.
Park, Chul & Tai Suk Roh. (2001). Total Ear Reconstruction in the Devascularized Temporoparietal Region: I. Use of the Contralateral Temporoparietal Fascial Free Flap. Plastic & Reconstructive Surgery. 108(5). 1145–1153. 20 indexed citations
20.
Park, Chul, et al.. (1992). Arterial Supply of the Anterior Ear. Plastic & Reconstructive Surgery. 90(1). 38–44. 101 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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