King‐Hung Ko
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Psoriasis: Treatment and Pathogenesis
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
Papers in
-
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 5
- Immune Response and Inflammation 2
- Oncology 3
- Peptidase Inhibition and Analysis 1
- Co-authors
- Liwei Lu (14 shared papers)Shengjun Wang (7 shared papers)Xuetao Cao (4 shared papers)Lingyun Sun (5 shared papers)Bo‐Jian Zheng (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
15 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 71
- Immunology 588
- Rheumatology 146
- Endocrine and Autonomic Systems 55
- Physiology 185
- Hematology 56
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
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 208 | |
| 2 | 2014 | 160 | |
| 3 | 2012 | 137 | |
| 4 | 2012 | 85 | |
| 5 | 2011 | 78 | |
| 6 | 2008 | 69 | |
| 7 | 2005 | 54 | |
| 8 | 2005 | 50 | |
| 9 | 2009 | 42 | |
| 10 | 2011 | 39 | |
| 11 | 2016 | 35 | |
| 12 | 2016 | 25 | |
| 13 | 2006 | 16 | |
| 14 | 2007 | 16 | |
| 15 | 1989 | 8 | |
| 16 | The antidiabetic effects of a dry powder of dietary vegetable and fruit mixtures in diabetic db/db mice | 2008 | 0 |
About King‐Hung Ko
King‐Hung Ko is a scholar working on Immunology, Oncology, Immunology and Allergy, Rheumatology and Cancer Research, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Cell Adhesion Molecules Research (3 papers), Immune Response and Inflammation (2 papers), NF-κB Signaling Pathways (1 paper), Salivary Gland Disorders and Functions (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Immunology (588 citations), Rheumatology (146 citations), Endocrine and Autonomic Systems (55 citations), Physiology (185 citations) and Hematology (56 citations). King‐Hung Ko has collaborated with scholars based in Hong Kong, China and France. Frequent co-authors include Liwei Lu, Shengjun Wang, Xuetao Cao, Lingyun Sun, Bo‐Jian Zheng, Xiaohui Wang, Min Yang, Jun Deng, Huaxi Xu and Zhijun Jiao. Their work appears in journals such as American Journal Of Pathology, Cellular and Molecular Immunology, International Immunology, The Journal of Immunology and Immunology and Cell Biology.
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.