Chi‐Kung Ho
- Health, Toxicology and Mutagenesis top 0.5%
- Epidemiology top 10%
- Hepatology top 2%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Ming‐Tsang WuHung‐Yi ChuangChun‐Yuh YangTrong-Neng WuChih-Ching ChangMing‐Lung YuChia‐Yen DaiHsin‐Su Yu
- Topics
- Air Quality and Health Impacts (21 papers)Heavy Metal Exposure and Toxicity (11 papers)Hepatitis C virus research (9 papers)
- Partner nations
- TaiwanUnited StatesSlovenia
In The Last Decade
Chi‐Kung Ho
111 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 169
- Health, Toxicology and Mutagenesis 1.1k
- Epidemiology 456
- Hepatology 341
- Molecular Biology 287
- Public Health, Environmental and Occupational Health 269
Countries citing papers authored by Chi‐Kung Ho
This map shows the geographic impact of Chi‐Kung Ho'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 Chi‐Kung Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi‐Kung Ho more than expected).
Fields of papers citing papers by Chi‐Kung Ho
This network shows the impact of papers produced by Chi‐Kung Ho. 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 Chi‐Kung Ho. The network helps show where Chi‐Kung Ho may publish in the future.
Co-authorship network of co-authors of Chi‐Kung Ho
This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Kung Ho. A scholar is included among the top collaborators of Chi‐Kung Ho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chi‐Kung Ho. Chi‐Kung Ho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 16 | |
| 3 | 16 | |
| 4 | 34 | |
| 5 | 2 | |
| 6 | 36 | |
| 7 | Audiometric Notches in Noise-Induced Hearing Loss: 4K versus 6K as Related to Body Mass Index | 1 |
| 8 | 46 | |
| 9 | 4 | |
| 10 | 21 | |
| 11 | 18 | |
| 12 | 3 | |
| 13 | 41 | |
| 14 | 23 | |
| 15 | 82 | |
| 16 | Residential exposure to petrochemicals and risk of leukemia: Using GIS tools to estimate individual residential exposure levels | 2 |
| 17 | Genetic polymorphism of p53 and XRCC1 in cervical intraepithelial neoplasm in Taiwanese women. | 23 |
| 18 | 9 | |
| 19 | Lifetime exposure to environmental tobacco smoke and cervical intraepithelial neoplasms among nonsmoking Taiwanese women. | 21 |
| 20 | 9 |
About Chi‐Kung Ho
Chi‐Kung Ho is a scholar working on Chemical Health and Safety, Health, Toxicology and Mutagenesis and Fuel Technology, having authored 112 papers that have together received 2.8k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (21 papers), Heavy Metal Exposure and Toxicity (11 papers) and Hepatitis C virus research (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.1k citations), Hepatology (341 citations) and Speech and Hearing (139 citations). Chi‐Kung Ho has collaborated with scholars based in Taiwan, United States and Slovenia. Frequent co-authors include Ming‐Tsang Wu, Hung‐Yi Chuang, Chun‐Yuh Yang, Trong-Neng Wu, Chih-Ching Chang, Ming‐Lung Yu, Chia‐Yen Dai, Hsin‐Su Yu, Shang‐Shyue Tsai and Huoy‐Rou Chang. Their work appears in journals such as Environmental Science & Technology, Journal of the American College of Cardiology and PLoS ONE.
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.