Hyoung Doo Shin
- Immunology top 2%
- Immune Cell Function and Interaction 17
- Physiology top 1%
- Asthma and respiratory diseases 75
- Genetics top 1%
- Hepatology top 2%
- Rheumatology top 1%
- Systemic Lupus Erythematosus Research 20
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- Respiratory and Cough-Related Research 35
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- Hepatitis B Virus Studies 22
- Liver Disease Diagnosis and Treatment 20
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- Cytokine Signaling Pathways and Interactions 19
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- Drug-Induced Adverse Reactions 18
- Co-authors
- Hyun Sub CheongLyoung Hyo KimByung Lae ParkKyong Soo ParkJoon Seol BaeChoon‐Sik ParkSang‐Cheol BaeYoung Min Cho
- Cited by
- ImmunologyPhysiologyGenetics
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (2 papers)The Journal of Immunology (1 paper)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Hyoung Doo Shin
303 papers receiving 7.2k citations
Peers
Comparison fields: 5 of 138
- Immunology 1.3k
- Physiology 1.6k
- Genetics 1.6k
- Hepatology 345
- Rheumatology 614
Countries citing papers authored by Hyoung Doo Shin
This map shows the geographic impact of Hyoung Doo 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 Hyoung Doo Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyoung Doo Shin more than expected).
Fields of papers citing papers by Hyoung Doo Shin
This network shows the impact of papers produced by Hyoung Doo 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 Hyoung Doo Shin. The network helps show where Hyoung Doo Shin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hyoung Doo Shin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 12 | |
| 2 | 2019 | 23 | |
| 3 | 2018 | 13 | |
| 4 | 2017 | 12 | |
| 5 | 2017 | 28 | |
| 6 | 2016 | 14 | |
| 7 | 2014 | 7 | |
| 8 | 2014 | 10 | |
| 9 | 2013 | 9 | |
| 10 | 2013 | 62 | |
| 11 | 2012 | 3 | |
| 12 | 2012 | 7 | |
| 13 | 2010 | 18 | |
| 14 | 2010 | 13 | |
| 15 | 2005 | 37 | |
| 16 | Glutathion S-Transferase M1 Gene Polymorphism is Associated with Type 2 Diabetic Nephropathy | 2005 | 5 |
| 17 | 2005 | 25 | |
| 18 | 2004 | 61 | |
| 19 | 2004 | 51 | |
| 20 | Genetic Association of Adiponectin Polymorphisms with Risk of Type 2 Diabetes Mellitus. | 2003 | 3 |
About Hyoung Doo Shin
Hyoung Doo Shin is a scholar working on Physiology, Immunology and Rheumatology, having authored 307 papers that have together received 7.3k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (75 papers), Respiratory and Cough-Related Research (35 papers), Hepatitis B Virus Studies (22 papers), Systemic Lupus Erythematosus Research (20 papers), Liver Disease Diagnosis and Treatment (20 papers), Cytokine Signaling Pathways and Interactions (19 papers), Drug-Induced Adverse Reactions (18 papers) and Immune Cell Function and Interaction (17 papers). The work is most often cited by research in Immunology (1.3k citations), Physiology (1.6k citations) and Genetics (1.6k citations). Hyoung Doo Shin has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Hyun Sub Cheong, Lyoung Hyo Kim, Byung Lae Park, Kyong Soo Park, Joon Seol Bae, Byung Lae Park, Choon‐Sik Park, Sang‐Cheol Bae, Young Min Cho and Yoon Jun Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.
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.