Hee Soon Shin

2.4k total citations
94 papers, 1.9k citations indexed

About

Hee Soon Shin is a scholar working on Immunology and Allergy, Physiology and Immunology. According to data from OpenAlex, Hee Soon Shin has authored 94 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology and Allergy, 28 papers in Physiology and 26 papers in Immunology. Recurrent topics in Hee Soon Shin's work include Allergic Rhinitis and Sensitization (25 papers), Asthma and respiratory diseases (24 papers) and Dermatology and Skin Diseases (16 papers). Hee Soon Shin is often cited by papers focused on Allergic Rhinitis and Sensitization (25 papers), Asthma and respiratory diseases (24 papers) and Dermatology and Skin Diseases (16 papers). Hee Soon Shin collaborates with scholars based in South Korea, Vietnam and Japan. Hee Soon Shin's co-authors include Min‐Jung Bae, Dong‐Hwa Shon, Ok Hee Chai, Sun Young Jung, Chang Ho Song, Chun Hua Piao, Makoto Shimizu, Hideo Satsu, Mamoru Totsuka and Zhaohui Zhao and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Hee Soon Shin

89 papers receiving 1.8k citations

Peers

Hee Soon Shin
Comparison fields: 5 of 121
  • Molecular Biology 563
  • Physiology 375
  • Immunology and Allergy 350
  • Immunology 304
  • Dermatology 249
Replace Mee-Young Lee with:
Mee-Young Lee South Korea
Ok‐Kyoung Kwon South Korea
Chian‐Jiun Liou Taiwan
Seung‐Hyung Kim South Korea
Wen‐Chung Huang Taiwan
Hyo‐Jin An South Korea
Kyung‐Seop Ahn South Korea
Tae‐Yong Shin South Korea
Hyeun‐Kyoo Shin South Korea
Seon Il Jang South Korea
Mee-Young Lee South Korea View profile →
Citations per field, relative to Hee Soon Shin
Hee Soon Shin · 1×
Citations per year, relative to Hee Soon Shin
Hee Soon Shin · 1×

Countries citing papers authored by Hee Soon Shin

Since Specialization
Citations

This map shows the geographic impact of Hee 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 Hee 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 Hee Soon Shin more than expected).

Fields of papers citing papers by Hee Soon Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Hee Soon Shin. A scholar is included among the top collaborators of Hee 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 Hee Soon Shin. Hee Soon Shin 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
# Work Indexed citations
1 1
2 1
3 2
4 14
5 1
6 8
7 2
8 11
9 2
10 28
11 3
12 22
13 24
14 6
15 20
16 11
17 15
18 30
19 231
20 13

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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