Woo Sung Moon

6.1k citations
157 papers · 4.6k indexed · h-index 37
Topics
Sirtuins and Resveratrol in Medicine (11 papers)Wnt/β-catenin signaling in development and cancer (10 papers)Hepatocellular Carcinoma Treatment and Prognosis (10 papers)

In The Last Decade

Woo Sung Moon

153 papers receiving 4.5k citations

Peers

Woo Sung Moon
Comparison fields: 5 of 118
  • Molecular Biology 1.7k
  • Oncology 1.5k
  • Pulmonary and Respiratory Medicine 840
  • Surgery 794
  • Epidemiology 786
Replace Shan Wang with:
Shan Wang China
Yingjiang Ye China
Adriaan P. de Bruı̈ne Netherlands
Latifa Bakiri Austria
Chunyou Wang China
Yoshinaga Okugawa Japan
Didier Bouscary France
Eiji Sunami Japan
Takeshi Nishikawa Japan
Yoshio Naomoto Japan
Woo Sung Moon relative to Shan Wang China Shan Wang's profile →
Citations per field
00.5×4.1×
Shan Wang · 1×
Citations per year

Countries citing papers authored by Woo Sung Moon

Since Specialization
Citations

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

Fields of papers citing papers by Woo Sung Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Woo Sung Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Woo Sung Moon. A scholar is included among the top collaborators of Woo Sung 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 Woo Sung Moon. Woo Sung 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
#WorkIndexed citations
1 0
2 8
3 4
4 25
5 5
6 37
7 68
8 19
9 21
10 138
11
A Case of Cutaneous Carcinosarcoma
1
12 131
13 8
14 6
15
A case of combined hepatocellular-chloangiocarcinoma associated with polymyositis and chronic hepatitis B virus infection
0
16 83
17
Clinicopathological Study on Metastatic Skin Cancer
3
18 12
19 175
20 110

About Woo Sung Moon

Woo Sung Moon is a scholar working on Geriatrics and Gerontology, Oncology and Hepatology, having authored 157 papers that have together received 4.6k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (11 papers), Wnt/β-catenin signaling in development and cancer (10 papers) and Hepatocellular Carcinoma Treatment and Prognosis (10 papers). The work is most often cited by research in Geriatrics and Gerontology (710 citations), Oncology (1.5k citations) and Gastroenterology (255 citations). Woo Sung Moon has collaborated with scholars based in South Korea, United States and Egypt. Frequent co-authors include Kyu Yun Jang, Ho Sung Park, Myoung Ja Chung, Myoung Jae Kang, Dong Geun Lee, Andrzej S. Tarnawski, Jun Sang Bae, Ho Lee, Byung‐Hyun Park and Kyoung Min Kim. Their work appears in journals such as Blood, PLoS ONE and Cancer.

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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