Inki Moon

648 total citations
36 papers, 439 citations indexed

About

Inki Moon is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Inki Moon has authored 36 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cardiology and Cardiovascular Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Inki Moon's work include Cardiovascular Function and Risk Factors (12 papers), Atrial Fibrillation Management and Outcomes (11 papers) and Cardiac Imaging and Diagnostics (7 papers). Inki Moon is often cited by papers focused on Cardiovascular Function and Risk Factors (12 papers), Atrial Fibrillation Management and Outcomes (11 papers) and Cardiac Imaging and Diagnostics (7 papers). Inki Moon collaborates with scholars based in South Korea, Denmark and United Kingdom. Inki Moon's co-authors include Kyungdo Han, Eue‐Keun Choi, Seil Oh, Euijae Lee, Myung‐Jin Cha, Jiesuck Park, So‐Ryoung Lee, You‐Jung Choi, Hyun‐Jung Lee and Woo‐Hyun Lim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Inki Moon

34 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inki Moon South Korea 12 285 88 81 41 40 36 439
Georgios Sofidis Greece 12 136 0.5× 109 1.2× 33 0.4× 91 2.2× 29 0.7× 32 337
Mara Morello Italy 15 393 1.4× 117 1.3× 110 1.4× 43 1.0× 68 1.7× 28 595
John P. Sweeney United States 10 172 0.6× 162 1.8× 80 1.0× 30 0.7× 27 0.7× 41 383
Ömer Alyan Türkiye 13 278 1.0× 112 1.3× 138 1.7× 56 1.4× 20 0.5× 48 515
Takashi Fukunaga Japan 13 312 1.1× 141 1.6× 65 0.8× 59 1.4× 35 0.9× 26 496
Cansın Tulunay Kaya Türkiye 11 180 0.6× 63 0.7× 73 0.9× 40 1.0× 10 0.3× 36 335
Saurabh Sanon United States 12 330 1.2× 155 1.8× 148 1.8× 50 1.2× 21 0.5× 31 435
M. Fuad Jan United States 15 553 1.9× 221 2.5× 72 0.9× 129 3.1× 59 1.5× 66 766
Tuna Tezel Türkiye 13 350 1.2× 98 1.1× 80 1.0× 68 1.7× 12 0.3× 54 470
Emine Bilen Türkiye 14 461 1.6× 90 1.0× 118 1.5× 128 3.1× 11 0.3× 68 567

Countries citing papers authored by Inki Moon

Since Specialization
Citations

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

Fields of papers citing papers by Inki Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inki Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Inki Moon. A scholar is included among the top collaborators of Inki Moon 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 Inki Moon. Inki Moon 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.
Moon, Inki, Yeonggul Jang, Hong‐Mi Choi, et al.. (2025). Artificial Intelligence-Enhanced Analysis of Echocardiography-Based Radiomic Features for Myocardial Hypertrophy Detection and Etiology Differentiation. Circulation Cardiovascular Imaging. 18(5). e017436–e017436.
2.
3.
Moon, Inki, Sojeong Park, Hyung Oh Choi, et al.. (2023). Temporal Trend of the Incidence and Characteristics of Renal Infarction: Korean Nationwide Population Study. Journal of Korean Medical Science. 38(31). e239–e239. 3 indexed citations
4.
Moon, Inki, Hye–Sun Seo, Jon Suh, et al.. (2023). Home Bioelectrical Impedance Analysis Management System in Patients With Heart Failure: Rationale and Study Design. PubMed. 6(1). 22–22. 2 indexed citations
5.
Choi, Sungwoo, et al.. (2023). Accuracy of visual estimation of ejection fraction in patients with heart failure using augmented reality glasses. Heart. 110(6). 432–440. 2 indexed citations
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8.
Moon, Inki, Tae‐Hwa Go, Jang‐Young Kim, et al.. (2022). Effectiveness and safety of non-vitamin K direct oral anticoagulants in atrial fibrillation patients with bioprosthetic valve. PLoS ONE. 17(6). e0268113–e0268113. 3 indexed citations
9.
Kim, Sekeun, Hyung‐Bok Park, Reza Arsanjani, et al.. (2022). Fully automated quantification of cardiac chamber and function assessment in 2-D echocardiography: clinical feasibility of deep learning-based algorithms. The International Journal of Cardiovascular Imaging. 38(5). 1047–1059. 8 indexed citations
10.
11.
Moon, Inki, Minkwan Kim, Jae Woong Choi, et al.. (2020). Early Surgery versus Watchful Waiting in Patients with Moderate Aortic Stenosis and Left Ventricular Systolic Dysfunction. Korean Circulation Journal. 50(9). 791–791. 15 indexed citations
12.
Kwak, Soongu, You‐Jung Choi, Soonil Kwon, et al.. (2020). De novo malignancy risk in patients undergoing the first percutaneous coronary intervention: A nationwide population-based cohort study. International Journal of Cardiology. 313. 25–31. 9 indexed citations
13.
Moon, Inki, Seo-Young Lee, Hyung‐Kwan Kim, et al.. (2020). Trends of the prevalence and incidence of hypertrophic cardiomyopathy in Korea: A nationwide population-based cohort study. PLoS ONE. 15(1). e0227012–e0227012. 43 indexed citations
14.
Cho, Jun Hwan, Eue‐Keun Choi, Inki Moon, et al.. (2020). Chromosomal abnormalities and atrial fibrillation and ischemic stroke incidence: a nationwide population-based study. Scientific Reports. 10(1). 15872–15872. 11 indexed citations
15.
Lee, Hyun‐Jung, Eue‐Keun Choi, Kyungdo Han, et al.. (2019). Bodyweight fluctuation is associated with increased risk of incident atrial fibrillation. Heart Rhythm. 17(3). 365–371. 27 indexed citations
16.
Choi, Eue‐Keun, Kyungdo Han, Jiesuck Park, et al.. (2019). Increased risk of atrial fibrillation in patients with inflammatory bowel disease: A nationwide population-based study. World Journal of Gastroenterology. 25(22). 2788–2798. 48 indexed citations
17.
Yang, Seokhun, Eue‐Keun Choi, Kyungdo Han, et al.. (2019). Risk of Atrial Fibrillation in Relation to the Time Course of Type 2 Diabetes Mellitus and Fasting Blood Glucose. The American Journal of Cardiology. 124(12). 1881–1888. 11 indexed citations
18.
Moon, Inki, Eue‐Keun Choi, Jin‐Hyung Jung, et al.. (2018). Ankylosing spondylitis: A novel risk factor for atrial fibrillation — A nationwide population-based study. International Journal of Cardiology. 275. 77–82. 30 indexed citations
19.
Park, Jiesuck, Myung‐Jin Cha, You‐Jung Choi, et al.. (2018). Prognostic efficacy of platelet count in patients with nonvalvular atrial fibrillation. Heart Rhythm. 16(2). 197–203. 20 indexed citations
20.
Lee, W. Robert, So Jung Lee, Inki Moon, et al.. (2016). Relative Frequency, Clinical Features, and Survival Outcomes of 395 Patients with Cutaneous Lymphoma in Korea: A Subgroup Analysis per 10-year Period. Acta Dermato Venereologica. 96(7). 888–893. 7 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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