King‐Hung Ko
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Psoriasis: Treatment and Pathogenesis
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
Papers in
-
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 2
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- Rheumatoid Arthritis Research and Therapies 5
- Co-authors
- Liwei Lu (16 shared papers)Shengjun Wang (8 shared papers)Xuetao Cao (4 shared papers)Bo‐Jian Zheng (6 shared papers)Lingyun Sun (5 shared papers)Xiaohui Wang (6 shared papers)Min Yang (4 shared papers)Jun Deng (5 shared papers)
In The Last Decade
King‐Hung Ko
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 60
- Immunology 455
- Rheumatology 231
- Physiology 173
- Epidemiology 119
- Pathology and Forensic Medicine 50
Countries citing papers authored by King‐Hung Ko
This map shows the geographic impact of King‐Hung Ko'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 King‐Hung Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites King‐Hung Ko more than expected).
Fields of papers citing papers by King‐Hung Ko
This network shows the impact of papers produced by King‐Hung Ko. 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 King‐Hung Ko. The network helps show where King‐Hung Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside King‐Hung Ko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 210 | |
| 2 | 2014 | 169 | |
| 3 | 2012 | 142 | |
| 4 | 2012 | 88 | |
| 5 | 2011 | 85 | |
| 6 | 2008 | 69 | |
| 7 | 2005 | 56 | |
| 8 | 2005 | 51 | |
| 9 | 2009 | 42 | |
| 10 | 2016 | 42 | |
| 11 | 2011 | 40 | |
| 12 | 2021 | 35 | |
| 13 | 2016 | 28 | |
| 14 | 2003 | 23 | |
| 15 | 2006 | 17 | |
| 16 | 2007 | 16 | |
| 17 | Novel function of TNF cytokines in regulating bone marrow B cell survival. | 2004 | 10 |
| 18 | 2014 | 9 | |
| 19 | 1989 | 8 | |
| 20 | 1990 | 7 |
About King‐Hung Ko
King‐Hung Ko is a scholar working on Immunology, Rheumatology, Physiology, Epidemiology and Hematology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Salivary Gland Disorders and Functions (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Immune Cell Function and Interaction (2 papers), Influenza Virus Research Studies (2 papers), Protease and Inhibitor Mechanisms (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Immunology (455 citations), Rheumatology (231 citations), Physiology (173 citations), Epidemiology (119 citations) and Pathology and Forensic Medicine (50 citations). King‐Hung Ko has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Liwei Lu, Shengjun Wang, Xuetao Cao, Bo‐Jian Zheng, Lingyun Sun, Xiaohui Wang, Min Yang, Jun Deng, Huaxi Xu and Zhijun Jiao. Their work appears in journals such as Annals of the Rheumatic Diseases, American Journal Of Pathology, Cellular and Molecular Immunology, Journal of Immunological Methods and Blood.
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.