K.-A. Do
Impact in
- Geriatrics and Gerontology top 10%
- Frailty in Older Adults
- Statistics and Probability top 10%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
Papers in
-
- Mosquito-borne diseases and control 1
- Co-authors
- Adèle C. Green (1 shared paper)Kevin Hickey (1 shared paper)Peter A. Ryan (1 shared paper)Brian H. Kay (1 shared paper)Andrew T. A. Wood (1 shared paper)Schroder Sattar (1 shared paper)Jye‐Chang Lee (1 shared paper)Ana Patricia Ayala (1 shared paper)
- Journals
- Hepatology (1 paper)Personality and Individual Differences (1 paper)Annals of Oncology (1 paper)Clinical Oncology (1 paper)Journal of Medical Entomology (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
K.-A. Do
10 papers receiving 266 citations
Peers
Comparison fields: 5 of 77
- Geriatrics and Gerontology 24
- Statistics and Probability 31
- Public Health, Environmental and Occupational Health 67
- Infectious Diseases 39
- Pulmonary and Respiratory Medicine 57
Countries citing papers authored by K.-A. Do
This map shows the geographic impact of K.-A. Do'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 K.-A. Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.-A. Do more than expected).
Fields of papers citing papers by K.-A. Do
This network shows the impact of papers produced by K.-A. Do. 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 K.-A. Do. The network helps show where K.-A. Do may publish in the future.
Co-authors
The 25 scholars most cited alongside K.-A. Do, 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 | 2001 | 110 | |
| 2 | 2000 | 57 | |
| 3 | 2018 | 37 | |
| 4 | 1996 | 31 | |
| 5 | 2012 | 22 | |
| 6 | 1998 | 9 | |
| 7 | 2009 | 3 | |
| 8 | 2019 | 2 | |
| 9 | The changing role of liver biopsy in hereditary haemochromatosis after the cloning of the HFE gene | 1998 | 1 |
| 10 | 2025 | 1 |
About K.-A. Do
K.-A. Do is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology, General Health Professions and Ecology, Evolution, Behavior and Systematics, having authored 10 papers that have together received 273 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (1 paper), Behavioral Health and Interventions (1 paper), Epigenetics and DNA Methylation (1 paper), Digestive system and related health (1 paper), Virtual Reality Applications and Impacts (1 paper), Mosquito-borne diseases and control (1 paper), Cancer Risks and Factors (1 paper) and Vector-Borne Animal Diseases (1 paper). The work is most often cited by research in Geriatrics and Gerontology (24 citations), Statistics and Probability (31 citations), Public Health, Environmental and Occupational Health (67 citations), Infectious Diseases (39 citations) and Pulmonary and Respiratory Medicine (57 citations). K.-A. Do has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Adèle C. Green, Kevin Hickey, Peter A. Ryan, Brian H. Kay, Andrew T. A. Wood, Schroder Sattar, Jye‐Chang Lee, Ana Patricia Ayala, Martine Puts and Shabbir M.H. Alibhai. Their work appears in journals such as Hepatology, Personality and Individual Differences, Annals of Oncology, Clinical Oncology and Journal of Medical Entomology.
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.