Sung Hyun Moon

586 citations
7 papers · 445 indexed · 1 hit paper · h-index 4
Topics
Gut microbiota and health (2 papers)Artificial Intelligence in Games (2 papers)Bacillus and Francisella bacterial research (1 paper)
Partner nations
South KoreaPuerto Rico

In The Last Decade

Sung Hyun Moon

6 papers receiving 440 citations

Hit Papers

Akkermansia muciniphila secretes a glucagon-like peptide-...20212026202220242021100200300400

Peers

Sung Hyun Moon
Comparison fields: 5 of 92
  • Molecular Biology 321
  • Physiology 138
  • Food Science 78
  • Nutrition and Dietetics 58
  • Surgery 48
Replace Chung Hwan Cho with:
Chung Hwan Cho South Korea
Haibo Chang China
Rhiannon R. Aguilar United States
Matam Vijay Kumar United States
Sabina Lukovac Netherlands
Noëmie Daniel Canada
Béatrice S.-Y. Choi Canada
Claudia Moresi Switzerland
Jefferson Elias‐Oliveira Brazil
Anne Krog Ingerslev Denmark
Sung Hyun Moon relative to Chung Hwan Cho South Korea Chung Hwan Cho's profile →
Citations per field
00.5×1.5×
Chung Hwan Cho · 1×
Citations per year

Countries citing papers authored by Sung Hyun Moon

Since Specialization
Citations

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

Fields of papers citing papers by Sung Hyun Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Hyun Moon. A scholar is included among the top collaborators of Sung Hyun 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 Sung Hyun Moon. Sung Hyun Moon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2
Akkermansia muciniphila secretes a glucagon-like peptide-1-inducing protein that improves glucose homeostasis and ameliorates metabolic disease in micebreakdown →
406
3 1
4 30
5 3
6
Controlling NPC behavior using constraint based story generation system
3
7 2

About Sung Hyun Moon

Sung Hyun Moon is a scholar working on Developmental and Educational Psychology, Ecology and Artificial Intelligence, having authored 7 papers that have together received 445 indexed citations. Recurring topics across this work include Gut microbiota and health (2 papers), Artificial Intelligence in Games (2 papers) and Bacillus and Francisella bacterial research (1 paper). The work is most often cited by research in Biological Psychiatry (26 citations), Drug Discovery (1 citation) and Physiology (138 citations). Sung Hyun Moon has collaborated with scholars based in South Korea and Puerto Rico. Frequent co-authors include Hyo Shin Yoon, Dohyun Han, Sung Jae Jang, GwangPyo Ko, Chung Hwan Cho, Hyun Ju You, Jun‐Hyeong Kim, Sung‐Joon Lee, Yeon‐Ji Kim and Kiuk Lee. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Nature Microbiology and Macromolecular Research.

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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