Hyung‐Bae Moon

927 citations
25 papers · 798 · h-index 14

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
  • Epidemiology top 10%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

Hyung‐Bae Moon

25 papers receiving 786 citations

Peers

Hyung‐Bae Moon
Comparison fields: 5 of 86
  • Hepatology 205
  • Epidemiology 306
  • Cancer Research 129
  • Reproductive Medicine 53
  • Molecular Biology 347
Replace Toshiyuki Nomura with:
Toshiyuki Nomura Japan
Chien‐Yu Lin Taiwan
Siddhartha Dutta Gupta India
Orit Papo Israel
Teruaki Sekine Japan
R. Cardin Italy
Xing Gu China
Amanda Micsenyi United States
Kenichi Saigo Japan
Licheng Dai China
Hyung‐Bae Moon relative to Toshiyuki Nomura Japan Toshiyuki Nomura's profile →
Citations per field
00.5×8.8×
Toshiyuki Nomura · 1×
Citations per year

Countries citing papers authored by Hyung‐Bae Moon

Since Specialization
Citations

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

Fields of papers citing papers by Hyung‐Bae Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hyung‐Bae 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 Hyung‐Bae Moon Line = papers co-authored together Hyung‐Bae Moon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999222
2 199992
3 200557
4 200549
5 201149
6 201449
7 200946
8 200942
9 200927
10 201222
11 200721
12 200118
13 201018
14 201417
15 200413
16 200312
17 20068
18 20118
19 20107
20 19976

About Hyung‐Bae Moon

Hyung‐Bae Moon is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Hepatology and Dermatology, having authored 25 papers that have together received 798 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Dermatology and Skin Diseases (4 papers), Asthma and respiratory diseases (4 papers), Allergic Rhinitis and Sensitization (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Hepatology (205 citations), Epidemiology (306 citations), Cancer Research (129 citations), Reproductive Medicine (53 citations) and Molecular Biology (347 citations). Hyung‐Bae Moon has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Yong‐Mahn Han, Dae‐Yeul Yu, Chul‐Ho Lee, Heesik Yoon, Seishi Murakami, Chul-Sang Lee, Lalantha R. Abeydeera, Ki‐Jung Yun, Randall S. Prather and Ryan A. Cabot. Their work appears in journals such as Journal of Hepatology, BMB Reports, Molecules and Cells, Academic Radiology and Biochemical Journal.

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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