Young Joon Moon

531 total citations
26 papers, 381 citations indexed

About

Young Joon Moon is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Young Joon Moon has authored 26 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 10 papers in Pediatrics, Perinatology and Child Health and 7 papers in Molecular Biology. Recurrent topics in Young Joon Moon's work include Kidney Stones and Urolithiasis Treatments (12 papers), Pediatric Urology and Nephrology Studies (10 papers) and Ureteral procedures and complications (6 papers). Young Joon Moon is often cited by papers focused on Kidney Stones and Urolithiasis Treatments (12 papers), Pediatric Urology and Nephrology Studies (10 papers) and Ureteral procedures and complications (6 papers). Young Joon Moon collaborates with scholars based in South Korea, Kuwait and Saudi Arabia. Young Joon Moon's co-authors include Mal Sook Yang, Hugh C. Kim, Joon Seong Park, Young Jin Kim, Jeongeun Choi, Joo Yong Lee, Hae Do Jung, Dong Hyuk Kang, Kang Su Cho and David Nguyen and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Differentiation.

In The Last Decade

Young Joon Moon

24 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Joon Moon South Korea 10 160 139 139 104 62 26 381
Silvia Zia Belgium 13 174 1.1× 244 1.8× 152 1.1× 89 0.9× 31 0.5× 31 420
Andrea Lindenmair Austria 10 225 1.4× 267 1.9× 113 0.8× 44 0.4× 15 0.2× 14 515
Yieh-Loong Tsai Taiwan 12 142 0.9× 179 1.3× 124 0.9× 35 0.3× 119 1.9× 31 567
Hiromi Mukaide Japan 12 64 0.4× 106 0.8× 119 0.9× 49 0.5× 16 0.3× 21 358
Joan Li Australia 9 152 0.9× 284 2.0× 362 2.6× 61 0.6× 33 0.5× 20 689
Tomomi Mizokami Japan 9 112 0.7× 40 0.3× 73 0.5× 33 0.3× 11 0.2× 22 285
Wenju Wang China 12 79 0.5× 70 0.5× 131 0.9× 28 0.3× 14 0.2× 28 342
Zhongliang Cheng China 8 170 1.1× 135 1.0× 414 3.0× 41 0.4× 7 0.1× 14 562
Bernard Thébaud Canada 4 313 2.0× 410 2.9× 146 1.1× 501 4.8× 27 0.4× 5 679
Kiran Gollapudi United States 12 68 0.4× 141 1.0× 79 0.6× 162 1.6× 19 0.3× 23 433

Countries citing papers authored by Young Joon Moon

Since Specialization
Citations

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

Fields of papers citing papers by Young Joon Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Joon Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Young Joon Moon. A scholar is included among the top collaborators of Young Joon 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 Young Joon Moon. Young Joon 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.
Kim, Do Kyung, Young Joon Moon, Doo Yong Chung, et al.. (2025). Comparison of Robot-Assisted, Laparoscopic, and Open Radical Prostatectomy Outcomes: A Systematic Review and Network Meta-Analysis from KSER Update Series. Medicina. 61(1). 61–61. 2 indexed citations
3.
Cho, Kang Su, et al.. (2023). A New Parameter for Calcium Oxalate Stones: Impact of Linear Calculus Density on Non-Contrast Computed Tomography. Medicina. 59(2). 267–267. 2 indexed citations
4.
Moon, Young Joon, et al.. (2023). Training ultrasound-guided percutaneous nephrostomy technique with porcine model. Investigative and Clinical Urology. 65(1). 62–62. 3 indexed citations
5.
Cho, Kang Su, et al.. (2023). Impact of Preoperative Ureteral Stenting in Retrograde Intrarenal Surgery for Urolithiasis. Medicina. 59(4). 744–744. 3 indexed citations
6.
Moon, Young Joon, Kang Su Cho, Dae Chul Jung, Doo Yong Chung, & Joo Yong Lee. (2023). The Consecutive 200 Cases of Endoscopic-Combined Intrarenal Surgery: Comparison between Standard and Miniature Surgeries. Medicina. 59(11). 1971–1971. 2 indexed citations
7.
Jung, Hae Do, Kang Su Cho, Young Joon Moon, et al.. (2022). Antibiotic prophylaxis for percutaneous nephrolithotomy: An updated systematic review and meta-analysis. PLoS ONE. 17(4). e0267233–e0267233. 14 indexed citations
8.
Jung, Hae Do, Kang Su Cho, Jae Ho Jeong, et al.. (2022). Silodosin versus Tamsulosin for Medical Expulsive Therapy of Ureteral Stones: An Updated Systematic Review and Meta-Analysis of Randomized Controlled Trials. Medicina. 58(12). 1794–1794. 2 indexed citations
9.
Kang, Dong Hyuk, Kang Su Cho, Young Joon Moon, et al.. (2022). Effect of neoadjuvant chemotherapy on overall survival of patients with T2-4aN0M0 bladder cancer: A systematic review and meta-analysis according to EAU COVID-19 recommendation. PLoS ONE. 17(4). e0267410–e0267410. 7 indexed citations
10.
Kim, Joonhwan, Hae Do Jung, Young Joon Moon, et al.. (2022). In Vivo Feasibility Test of a New Flexible Ureteroscopic Robotic System, easyUretero, for Renal Stone Retrieval in a Porcine Model. Yonsei Medical Journal. 63(12). 1106–1106. 9 indexed citations
11.
Kang, Dong Hyuk, Kang Su Cho, Young Joon Moon, et al.. (2022). Surveillance versus Adjuvant Treatment with Chemotherapy or Radiotherapy for Stage I Seminoma: A Systematic Review and Meta-Analysis According to EAU COVID-19 Recommendations. Medicina. 58(11). 1514–1514. 1 indexed citations
12.
Jung, Hae Do, et al.. (2022). The First 100 Cases of Endoscopic Combined Intrarenal Surgery in Korea: Matched Cohort Analyses versus Shock-Wave Lithotripsy. Yonsei Medical Journal. 63(5). 440–440. 11 indexed citations
15.
Han, Hyun Ho, Joonhwan Kim, Young Joon Moon, et al.. (2022). Feasibility of Laser Lithotripsy for Midsize Stones Using Robotic Retrograde Intrarenal Surgery System easyUretero in a Porcine Model. Journal of Endourology. 36(12). 1586–1592. 9 indexed citations
16.
Choi, Jee‐Hye, Jina Park, Jin‐Hong Kim, et al.. (2009). TSA-induced DNMT1 down-regulation represses hTERT expression via recruiting CTCF into demethylated core promoter region of hTERT in HCT116. Biochemical and Biophysical Research Communications. 391(1). 449–454. 53 indexed citations
17.
Moon, Young Joon, Mal Sook Yang, In Keun Jang, et al.. (2008). Hepatic differentiation of cord blood‐derived multipotent progenitor cells (MPCs) in vitro. Cell Biology International. 32(10). 1293–1301. 16 indexed citations
18.
Moon, Young Joon, Mal Sook Yang, Sun Kyung Kim, et al.. (2007). Neural differentiation of novel multipotent progenitor cells from cryopreserved human umbilical cord blood. Biochemical and Biophysical Research Communications. 358(2). 637–643. 35 indexed citations
19.
Moon, Young Joon, Mal Sook Yang, Sun Kyung Kim, et al.. (2005). Expression Profile of Genes Representing Varied Spectra of Cell Lineages in Human Umbilical Cord Blood-Derived Mesenchymal Stem Cells. Acta Haematologica. 114(2). 117–120. 2 indexed citations
20.
Choi, Jeongeun, Mal Sook Yang, Young Joon Moon, et al.. (2004). Mesenchymal stem cells from cryopreserved human umbilical cord blood. Biochemical and Biophysical Research Communications. 320(1). 273–278. 122 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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