Young‐Jin Moon

2.1k citations
109 papers · 1.5k indexed · h-index 20

Impact in

Papers in

Young‐Jin Moon

96 papers receiving 1.5k citations

Peers

Young‐Jin Moon
Comparison fields: 5 of 138
  • Hepatology 199
  • Pharmacology 165
  • Transplantation 31
  • Anesthesiology and Pain Medicine 55
  • Occupational Therapy 39
Replace Pao‐Hsien Chu with:
Pao‐Hsien Chu Taiwan
Torsten Doenst Germany
Yung‐Chang Chen Taiwan
Rong Chen China
P. A. Grace Ireland
Lois Jovanovič United States
Zsolt Molnár Hungary
Andrea Pietrabissa Italy
Inderjeet Singh India
Zhi Mao China
Young‐Jin Moon relative to Pao‐Hsien Chu Taiwan Pao‐Hsien Chu's profile →
Citations per field
00.5×7.9×
Pao‐Hsien Chu · 1×
Citations per year

Countries citing papers authored by Young‐Jin Moon

Since Specialization
Citations

This map shows the geographic impact of Young‐Jin 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‐Jin 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‐Jin Moon more than expected).

Fields of papers citing papers by Young‐Jin Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Young‐Jin Moon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Young‐Jin Moon Line = papers co-authored together Young‐Jin Moon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20231
4 202318
5 20224
6 20196
7 201940
8 201819
9 201812
10 20185
11 20184
12 20183
13 20172
14 20162
15 201619
16 201418
17 201443
18
Single-Inductor Multiple-Output DC-DC Converter with Negative Feedback Selection Circuit
20110
19 2010402
20 19994

About Young‐Jin Moon

Young‐Jin Moon is a scholar working on Hepatology, Orthopedics and Sports Medicine, Anesthesiology and Pain Medicine, Cardiology and Cardiovascular Medicine and Surgery, having authored 109 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (26 papers), Organ Transplantation Techniques and Outcomes (22 papers), Advanced DC-DC Converters (11 papers), Sports Performance and Training (11 papers), Liver Disease Diagnosis and Treatment (10 papers), Cardiac, Anesthesia and Surgical Outcomes (9 papers), Multilevel Inverters and Converters (7 papers) and Hemodynamic Monitoring and Therapy (7 papers). The work is most often cited by research in Hepatology (199 citations), Pharmacology (165 citations), Transplantation (31 citations), Anesthesiology and Pain Medicine (55 citations) and Occupational Therapy (39 citations). Young‐Jin Moon has collaborated with scholars based in South Korea, United States and Sweden. Frequent co-authors include Changsik Yoo, Yong-Seong Roh, Gyu‐Sam Hwang, Jun‐Gol Song, In‐Gu Jun, Hye‐Mee Kwon, Sung‐Hoon Kim, Satjit Brar, B Booth and L J Lesko. Their work appears in journals such as Korean journal of anesthesiology, Medicine, Journal of Clinical Medicine, IEEE Transactions on Power Electronics and Scientific Reports.

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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