Sang‐Don Park

1.5k total citations
79 papers, 622 citations indexed

About

Sang‐Don Park is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sang‐Don Park has authored 79 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Cardiology and Cardiovascular Medicine, 33 papers in Surgery and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sang‐Don Park's work include Acute Myocardial Infarction Research (28 papers), Cardiac Imaging and Diagnostics (25 papers) and Coronary Interventions and Diagnostics (20 papers). Sang‐Don Park is often cited by papers focused on Acute Myocardial Infarction Research (28 papers), Cardiac Imaging and Diagnostics (25 papers) and Coronary Interventions and Diagnostics (20 papers). Sang‐Don Park collaborates with scholars based in South Korea, United States and Ethiopia. Sang‐Don Park's co-authors include Sung‐Hee Shin, Jun Kwan, Seong‐Ill Woo, Dae‐Hyeok Kim, Man‐Jong Lee, Yong‐Soo Baek, Sung Woo Kwon, Jang‐Whan Bae, Won Kyung Lee and Woong Chol Kang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Sang‐Don Park

75 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang‐Don Park South Korea 13 416 190 144 65 55 79 622
Andrew Czarnecki Canada 15 540 1.3× 198 1.0× 140 1.0× 170 2.6× 76 1.4× 33 654
Abhishek C. Sawant United States 19 889 2.1× 155 0.8× 74 0.5× 114 1.8× 87 1.6× 59 1.1k
Ahmet Lütfullah Orhan Türkiye 13 336 0.8× 112 0.6× 84 0.6× 78 1.2× 54 1.0× 50 524
Yedael Har‐Zahav Israel 15 476 1.1× 305 1.6× 259 1.8× 39 0.6× 56 1.0× 32 666
Eugene B. Wu China 16 667 1.6× 404 2.1× 334 2.3× 53 0.8× 151 2.7× 54 1.1k
Parijat S. Joy United States 12 272 0.7× 226 1.2× 49 0.3× 49 0.8× 41 0.7× 25 527
P Alstrup Denmark 12 333 0.8× 259 1.4× 143 1.0× 71 1.1× 123 2.2× 40 584
Sandeep M. Patel United States 14 370 0.9× 334 1.8× 143 1.0× 94 1.4× 101 1.8× 62 671
Braim M. Rahel Netherlands 14 416 1.0× 443 2.3× 214 1.5× 37 0.6× 113 2.1× 32 726
Andrés Enríquez Canada 25 1.4k 3.5× 166 0.9× 98 0.7× 98 1.5× 88 1.6× 96 1.6k

Countries citing papers authored by Sang‐Don Park

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Don Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang‐Don Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Don Park. A scholar is included among the top collaborators of Sang‐Don 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 Sang‐Don Park. Sang‐Don 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.
Ahn, Chul‐Min, Hyun Joong Kim, Jang‐Whan Bae, et al.. (2025). Predicción de la mortalidad intrahospitalaria mediante aprendizaje automático y validación externa en pacientes con shock cardiogénico: la escala RESCUE. Revista Española de Cardiología. 78(8). 707–716. 1 indexed citations
2.
Lee, Sang Yeub, Jang‐Whan Bae, Jeong Hoon Yang, et al.. (2025). Assessing the clinical impact of cardiac intensivists in cardiac intensivecare units: results from the RESCUE registry. BMC Cardiovascular Disorders. 25(1). 124–124.
3.
Lee, Wang Soo, Ju Hyeon Oh, Jeong Hoon Yang, et al.. (2024). Seasonal variation and prognosis in patients with acute myocardial infarction complicated by cardiogenic shock. Heliyon. 10(9). e30078–e30078.
4.
Hong, David, Ki Hong Choi, Chul‐Min Ahn, et al.. (2024). Clinical significance of residual ischaemia in acute myocardial infarction complicated by cardiogenic shock undergoing venoarterial–extracorporeal membrane oxygenation. European Heart Journal Acute Cardiovascular Care. 13(7). 525–534. 2 indexed citations
6.
Kang, Si‐Hyuck, Eun Ju Chun, Woo‐Young Chung, et al.. (2023). Performance of a Novel CT-Derived Fractional Flow Reserve Measurement to Detect Hemodynamically Significant Coronary Stenosis. Journal of Korean Medical Science. 38(32). e254–e254. 2 indexed citations
7.
Kim, Yeji, Woo Jin Jang, Ju Hyeon Oh, et al.. (2023). Prognostic effect of sex according to shock severity in patients with acute myocardial infarction complicated by cardiogenic shock. Hellenic Journal of Cardiology. 82. 3–14. 2 indexed citations
8.
Jang, Woo Jin, Ju Hyeon Oh, Jeong Hoon Yang, et al.. (2023). Impact of Acute Myocardial Infarction Type on Prognosis in Female Patients With Cardiogenic Shock. The American Journal of Cardiology. 206. 116–124. 1 indexed citations
10.
Park, Sang‐Don, Jang‐Whan Bae, Woojoo Lee, et al.. (2023). Electrocardiogram-based deep learning algorithm for the screening of obstructive coronary artery disease. BMC Cardiovascular Disorders. 23(1). 287–287. 9 indexed citations
11.
Lee, Seung Hun, Jeong Hoon Yang, Ki Hong Choi, et al.. (2022). Impact of the Obesity Paradox Between Sexes on In‐Hospital Mortality in Cardiogenic Shock: A Retrospective Cohort Study. Journal of the American Heart Association. 11(11). 19 indexed citations
12.
Song, Pil Sang, Jin‐Ok Jeong, Jeong Hoon Yang, et al.. (2022). Inodilators May Improve the In-Hospital Mortality of Patients with Cardiogenic Shock Undergoing Veno-Arterial Extracorporeal Membrane Oxygenation. Journal of Clinical Medicine. 11(17). 4958–4958. 5 indexed citations
13.
Jang, Ho‐Jun, Young Ju Suh, Sang‐Don Park, et al.. (2021). Clinical Implication of Hypoxic Liver Injury for Predicting Hypoxic Hepatitis and In-Hospital Mortality in ST Elevation Myocardial Infarction Patients. Yonsei Medical Journal. 62(10). 877–877. 2 indexed citations
14.
Kim, Soo Hyun, Si‐Hyuck Kang, Woo-Young Chung, et al.. (2020). Validation of the diagnostic performance of ‘HeartMedi V.1.0’, a novel CT-derived fractional flow reserve measurement, for patients with coronary artery disease: a study protocol. BMJ Open. 10(7). e037780–e037780. 5 indexed citations
15.
16.
Kwon, Sung Woo, Sang‐Don Park, Pyung Chun Oh, et al.. (2018). Complete Versus Culprit-Only Revascularization for ST-Segment Elevation Myocardial Infarction and Multivessel Disease in the 2nd Generation Drug-Eluting Stent Era: Data from the INTERSTELLAR Registry. Korean Circulation Journal. 48(11). 989–989. 3 indexed citations
17.
Moon, Jeonggeun, Jon Suh, Pyung Chun Oh, et al.. (2016). Relation of Stature to Outcomes in Korean Patients Undergoing Primary Percutaneous Coronary Intervention for Acute ST-Elevation Myocardial Infarction (from the INTERSTELLAR Registry). The American Journal of Cardiology. 118(2). 177–182. 8 indexed citations
18.
Kim, Dae‐Hyeok, Sang‐Don Park, Yong‐Soo Baek, et al.. (2014). The Relationship Between J Wave on the Surface Electrocardiography and Ventricular Fibrillation during Acute Myocardial Infarction. Journal of Korean Medical Science. 29(5). 685–685. 14 indexed citations
20.
Baek, Yong‐Soo, et al.. (2010). A case of asymptomatic cardiac lipoma of the left ventricular posterior papillary muscle. The Korean Journal of Internal Medicine. 79(1). 57–61. 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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