Hea Soon Shin

489 total citations
14 papers, 380 citations indexed

About

Hea Soon Shin is a scholar working on Food Science, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Hea Soon Shin has authored 14 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Food Science, 8 papers in Molecular Biology and 4 papers in Infectious Diseases. Recurrent topics in Hea Soon Shin's work include Probiotics and Fermented Foods (10 papers), Gut microbiota and health (8 papers) and Viral gastroenteritis research and epidemiology (4 papers). Hea Soon Shin is often cited by papers focused on Probiotics and Fermented Foods (10 papers), Gut microbiota and health (8 papers) and Viral gastroenteritis research and epidemiology (4 papers). Hea Soon Shin collaborates with scholars based in South Korea. Hea Soon Shin's co-authors include Nam Joo Ha, Hyun Jung Lim, Do Kyung Lee, Mi Jin Kim, Kang Oh Lee, Do Kyung Lee, Myung Jun Chung, Si Won Lee, Shin-Young Park and Hyang Mi An and has published in prestigious journals such as The FASEB Journal, Lipids in Health and Disease and Archives of Pharmacal Research.

In The Last Decade

Hea Soon Shin

13 papers receiving 374 citations

Peers

Hea Soon Shin
Comparison fields: 5 of 73
  • Molecular Biology 208
  • Food Science 202
  • Nutrition and Dietetics 108
  • Infectious Diseases 74
  • Physiology 46
Replace Eva María del Mar Vélez with:
Eva María del Mar Vélez Argentina
Do Kyung Lee South Korea
Kang Oh Lee South Korea
Lijun Shang China
C. M. C. Chapman United Kingdom
Hiroshi Horiuchi Japan
M.C. Fuentes Spain
Claudine Jacquot France
Edgar Torres-Maravilla France
Л. И. Кафарская Russia
Eva María del Mar Vélez Argentina View profile →
Citations per field, relative to Hea Soon Shin
Hea Soon Shin · 1×
Citations per year, relative to Hea Soon Shin
Hea Soon Shin · 1×

Countries citing papers authored by Hea Soon Shin

Since Specialization
Citations

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

Fields of papers citing papers by Hea Soon Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hea Soon Shin. 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 Hea Soon Shin. The network helps show where Hea Soon Shin may publish in the future.

Co-authorship network of co-authors of Hea Soon Shin

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 11
2 4
3 59
4 4
5 47
6 42
7 2
8 7
9 1
10 5
11 1
12 91
13 1
14 105

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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2026