Jae Myung

4.1k total citations
222 papers, 2.6k citations indexed

About

Jae Myung is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Jae Myung has authored 222 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Oncology, 97 papers in Pulmonary and Respiratory Medicine and 91 papers in Surgery. Recurrent topics in Jae Myung's work include Colorectal Cancer Screening and Detection (90 papers), Gastric Cancer Management and Outcomes (80 papers) and Genetic factors in colorectal cancer (27 papers). Jae Myung is often cited by papers focused on Colorectal Cancer Screening and Detection (90 papers), Gastric Cancer Management and Outcomes (80 papers) and Genetic factors in colorectal cancer (27 papers). Jae Myung collaborates with scholars based in South Korea, United States and Israel. Jae Myung's co-authors include Min Seob Kwak, Hyun Phil Shin, Joung Il Lee, Kwang Ro Joo, Jin Young Yoon, Dong Il Park, Jung Won Jeon, Jun Ki Min, Jeong Eun Shin and Jun Uk Lim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jae Myung

208 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae Myung South Korea 25 1.3k 1.1k 906 313 293 222 2.6k
Emilio Di Giulio Italy 27 832 0.7× 919 0.8× 1.2k 1.3× 345 1.1× 139 0.5× 80 2.1k
Steven J. Heitman Canada 30 1.8k 1.4× 1.4k 1.3× 1.4k 1.5× 641 2.0× 436 1.5× 120 3.6k
Kenneth R. McQuaid United States 29 1.3k 1.1× 1.3k 1.1× 2.0k 2.2× 366 1.2× 246 0.8× 72 4.2k
Yoon Tae Jeen South Korea 30 912 0.7× 1.1k 1.0× 1.5k 1.7× 738 2.4× 168 0.6× 235 3.2k
Saroj Kant Sinha India 30 789 0.6× 593 0.5× 1.9k 2.1× 358 1.1× 83 0.3× 206 2.7k
Nikolaos Machairas Greece 26 744 0.6× 564 0.5× 1.2k 1.4× 372 1.2× 138 0.5× 177 2.7k
Ian Penman United Kingdom 27 511 0.4× 932 0.8× 1.7k 1.9× 319 1.0× 104 0.4× 95 2.7k
Bora Keum South Korea 27 546 0.4× 806 0.7× 1.1k 1.2× 449 1.4× 93 0.3× 218 2.3k
Andrea Anderloni Italy 31 1.8k 1.4× 2.1k 1.9× 2.3k 2.5× 277 0.9× 49 0.2× 231 3.5k
Hyun‐Soo Kim South Korea 22 975 0.8× 773 0.7× 554 0.6× 173 0.6× 290 1.0× 138 1.7k

Countries citing papers authored by Jae Myung

Since Specialization
Citations

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

Fields of papers citing papers by Jae Myung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae Myung

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Myung. A scholar is included among the top collaborators of Jae Myung 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 Jae Myung. Jae Myung 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
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Yoon, Jin Young, et al.. (2024). Acute Gastropathy Associated with Bowel Preparation According to Age: Oral Sulfate Tablets versus 1-L Polyethylene Glycol with Ascorbic Acid. SHILAP Revista de lepidopterología. 84(4). 177–187. 1 indexed citations
3.
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Myung, Jae, et al.. (2024). Personalized prediction of survival rate with combination of penalized Cox models in patients with colorectal cancer. Medicine. 103(24). e38584–e38584. 1 indexed citations
5.
Yang, Dae Yul, Won‐Woo Seo, Rae Woong Park, et al.. (2024). Comparison of Finasteride and Dutasteride on Risk of Prostate Cancer in Patients with Benign Prostatic Hyperplasia: A Pooled Analysis of 15 Real-world Databases. The World Journal of Men s Health. 43(1). 188–188. 1 indexed citations
6.
Myung, Jae, Won‐Woo Seo, Sang Youl Rhee, et al.. (2024). Real-World Risk of Gastrointestinal Bleeding for Direct Oral Anticoagulants and Warfarin Users: A Distributed Network Analysis Using a Common Data Model. Gut and Liver. 18(5). 814–823. 5 indexed citations
7.
Yoon, Jin Young, et al.. (2023). Neutrophil to lymphocyte ratio can predict overall survival in patients with stage II to III colorectal cancer. Medicine. 102(11). e33279–e33279. 6 indexed citations
8.
Kim, Sangsoo, Tae Oh Kim, Soo‐Kyung Park, et al.. (2023). A Machine Learning-Based Diagnostic Model for Crohn’s Disease and Ulcerative Colitis Utilizing Fecal Microbiome Analysis. Microorganisms. 12(1). 36–36. 9 indexed citations
9.
Myung, Jae, et al.. (2022). Quality indicators in colonoscopy: the chasm between ideal and reality. Clinical Endoscopy. 55(3). 332–338. 10 indexed citations
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Park, Soo Jung, Hyung Wook Kim, Yun Jeong Lim, et al.. (2021). Effectiveness and Safety of Golimumab in Patients with Ulcerative Colitis: A Multicenter, Prospective, Postmarketing Surveillance Study. Gut and Liver. 16(5). 764–774. 8 indexed citations
12.
Kang, Eun Ae, Chang Hwan Choi, Sang‐Bum Kang, et al.. (2021). Development of a Clinical and Genetic Prediction Model for Early Intestinal Resection in Patients with Crohn’s Disease: Results from the IMPACT Study. Journal of Clinical Medicine. 10(4). 633–633. 16 indexed citations
13.
Kim, Hyun Gun, Suyeon Park, Seong Ran Jeon, et al.. (2021). Correlation between Surrogate Quality Indicators for Adenoma Detection Rate and Adenoma Miss Rate in Qualified Colonoscopy, CORE Study: KASID Multicenter Study. Gut and Liver. 16(5). 716–725. 6 indexed citations
14.
Lee, Won, Jae Myung, Jee Hyun Kim, et al.. (2021). Second Victim Experience and Perception Discordance of the Colonoscopic Perforation. Digestive Diseases and Sciences. 67(7). 2857–2865. 5 indexed citations
15.
Min, Jun Ki, Hyo‐Joon Yang, Min Seob Kwak, et al.. (2020). Deep Neural Network-Based Prediction of the Risk of Advanced Colorectal Neoplasia. Gut and Liver. 15(1). 85–91. 7 indexed citations
16.
Yoon, Soon Man & Jae Myung. (2019). Gastrointestinal Fellowship Education in Korea. Korean Journal of Gastroenterology. 73(1). 7–7. 2 indexed citations
17.
Lee, Chang Kyun, Sung Noh Hong, Jong Pil Im, et al.. (2019). Unmet Psychosocial Needs of Patients with Newly Diagnosed Ulcerative Colitis: Results from the Nationwide Prospective Cohort Study in Korea. Gut and Liver. 14(4). 459–467. 17 indexed citations
18.
Yang, Dong‐Hoon, Sneha John, Mitsuhiro Fujishiro, et al.. (2019). Endoscopic Diagnosis of Nonpedunculated Dysplasia during Surveillance of Ulcerative Colitis: A Survey-Based Multinational Study. Gut and Liver. 14(5). 611–618. 5 indexed citations
19.
Myung, Jae, Dong Il Park, Sang Hyoung Park, et al.. (2016). Physicians Should Provide Shared Decision-Making for Anti-TNF Therapy to Inflammatory Bowel Disease Patients. Journal of Korean Medical Science. 32(1). 85–85. 8 indexed citations
20.
Jeon, Jung Won, Jae Myung, Joung Il Lee, et al.. (2011). Cytomegalovirus Colitis Causing Cecal Perforation and Massive Lower Gastrointestinal Bleeding.. Clinical Endoscopy. 42(1). 33–37. 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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