Hueng‐Sik Choi
- Pharmacology top 0.5%
- Genetics top 2%
- Estrogen and related hormone effects 22
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- Nuclear Receptors and Signaling 20
- Reproductive Medicine top 5%
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- Macrophage Migration Inhibitory Factor 7
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- Drug Transport and Resistance Mechanisms 6
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- Iron Metabolism and Disorders 5
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- Glycosylation and Glycoproteins Research 4
- Insect Resistance and Genetics 4
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- Bioactive Compounds and Antitumor Agents 4
- Co-authors
- David D. MooreDon‐Kyu KimKeesook LeeDevendranath SimhaWongi SeolIphigenia TzameliYoon‐Kwang LeeBarry M. Forman
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Hueng‐Sik Choi
81 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 117
- Pharmacology 448
- Genetics 854
- Endocrinology, Diabetes and Metabolism 499
- Cellular and Molecular Neuroscience 544
- Reproductive Medicine 200
Countries citing papers authored by Hueng‐Sik Choi
This map shows the geographic impact of Hueng‐Sik Choi'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 Hueng‐Sik Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hueng‐Sik Choi more than expected).
Fields of papers citing papers by Hueng‐Sik Choi
This network shows the impact of papers produced by Hueng‐Sik Choi. 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 Hueng‐Sik Choi. The network helps show where Hueng‐Sik Choi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hueng‐Sik Choi, 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 | 2025 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 21 | |
| 7 | 2015 | 106 | |
| 8 | 2013 | 6 | |
| 9 | 2013 | 37 | |
| 10 | 2009 | 49 | |
| 11 | 2009 | 62 | |
| 12 | 2007 | 60 | |
| 13 | 2006 | 29 | |
| 14 | 2004 | 258 | |
| 15 | 2003 | 10 | |
| 16 | 2003 | 3 | |
| 17 | 1999 | 88 | |
| 18 | 1999 | 11 | |
| 19 | 1999 | 9 | |
| 20 | 1991 | 41 |
About Hueng‐Sik Choi
Hueng‐Sik Choi is a scholar working on Cellular and Molecular Neuroscience, Toxicology and Genetics, having authored 82 papers that have together received 3.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (22 papers), Nuclear Receptors and Signaling (20 papers), Macrophage Migration Inhibitory Factor (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Iron Metabolism and Disorders (5 papers), Glycosylation and Glycoproteins Research (4 papers), Bioactive Compounds and Antitumor Agents (4 papers) and Insect Resistance and Genetics (4 papers). The work is most often cited by research in Pharmacology (448 citations), Genetics (854 citations) and Endocrinology, Diabetes and Metabolism (499 citations). Hueng‐Sik Choi has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include David D. Moore, Don‐Kyu Kim, Keesook Lee, Devendranath Simha, Wongi Seol, Iphigenia Tzameli, Yoon‐Kwang Lee, Barry M. Forman, Ronald M. Evans and Jasmine Chen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids 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.