Hong Soon Kang
- Immunology top 0.2%
- Psoriasis: Treatment and Pathogenesis 7
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
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- Circadian rhythm and melatonin 6
- Oncology top 2%
- Genetics top 2%
- Aging top 5%
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- Retinoids in leukemia and cellular processes 9
- Renal and related cancers 7
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- Adipose Tissue and Metabolism 8
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- Pancreatic function and diabetes 8
- Co-authors
- Anton M. JettenXuexian O. YangRoza NurievaChen DongStephanie S. WatowichYeonseok ChungQiang TianLi Ma
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Hong Soon Kang
60 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Immunology 4.4k
- Endocrine and Autonomic Systems 404
- Oncology 1.0k
- Genetics 898
- Aging 53
Countries citing papers authored by Hong Soon Kang
This map shows the geographic impact of Hong Soon Kang'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 Hong Soon Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Soon Kang more than expected).
Fields of papers citing papers by Hong Soon Kang
This network shows the impact of papers produced by Hong Soon Kang. 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 Hong Soon Kang. The network helps show where Hong Soon Kang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hong Soon Kang, 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 | 2023 | 5 | |
| 2 | 2021 | 7 | |
| 3 | 2018 | 3 | |
| 4 | 2017 | 51 | |
| 5 | 2016 | 28 | |
| 6 | 2014 | 43 | |
| 7 | 2012 | 319 | |
| 8 | 2012 | 102 | |
| 9 | 2010 | 28 | |
| 10 | Transcription Factor Glis3, a Novel Critical Player in the Regulation of Pancreatic beta-Cell Development and Insulin Gene Expression (vol 29, pg 6366, 2009) | 2010 | 7 |
| 11 | 2009 | 125 | |
| 12 | 2009 | 3 | |
| 13 | 2008 | 59 | |
| 14 | T Helper 17 Lineage Differentiation Is Programmed by Orphan Nuclear Receptors RORα and RORγbreakdown → | 2008 | 1310 |
| 15 | Generation of T Follicular Helper Cells Is Mediated by Interleukin-21 but Independent of T Helper 1, 2, or 17 Cell Lineagesbreakdown → | 2008 | 957 |
| 16 | 2008 | 425 | |
| 17 | 2007 | 82 | |
| 18 | 2007 | 45 | |
| 19 | 2006 | 64 | |
| 20 | 2006 | 25 |
About Hong Soon Kang
Hong Soon Kang is a scholar working on Endocrine and Autonomic Systems, Immunology and Genetics, having authored 60 papers that have together received 7.1k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (9 papers), Adipose Tissue and Metabolism (8 papers), Pancreatic function and diabetes (8 papers), Psoriasis: Treatment and Pathogenesis (7 papers), Renal and related cancers (7 papers), T-cell and B-cell Immunology (7 papers), Circadian rhythm and melatonin (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Immunology (4.4k citations), Endocrine and Autonomic Systems (404 citations) and Oncology (1.0k citations). Hong Soon Kang has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Anton M. Jetten, Xuexian O. Yang, Roza Nurieva, Chen Dong, Stephanie S. Watowich, Yeonseok Chung, Qiang Tian, Li Ma, Bhanu P. Pappu and Kimberly S. Schluns. Their work appears in journals such as Immunity, Molecular and Cellular Biology, Molecules and Cells, Nucleic Acids Research 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.