Daniel Ho
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- Gut microbiota and health 2
- Gene expression and cancer classification 1
- Genetics 4
- Genetic Associations and Epidemiology 3
- Diabetes and associated disorders 1
- Co-authors
- Justin M. O’Sullivan (8 shared papers)William Schierding (3 shared papers)Richard Saffery (2 shared papers)Melissa Wake (1 shared paper)Brooke C. Wilson (3 shared papers)Andreas W. Kempa-Liehr (3 shared papers)Tommi Vatanen (2 shared papers)Nicholas Pudjihartono (3 shared papers)
- Journals
- Frontiers in Genetics (3 papers)Current Opinion in Microbiology (1 paper)RMD Open (1 paper)Microbiome (1 paper)Database (1 paper)
- Partner nations
- New ZealandAustraliaUnited Kingdom
In The Last Decade
Daniel Ho
11 papers receiving 191 citations
Peers
Comparison fields: 5 of 69
- Health Informatics 11
- Health Information Management 15
- Genetics 51
- Applied Microbiology and Biotechnology 3
- Molecular Medicine 7
Countries citing papers authored by Daniel Ho
This map shows the geographic impact of Daniel 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 Daniel Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ho more than expected).
Fields of papers citing papers by Daniel Ho
This network shows the impact of papers produced by Daniel 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 Daniel Ho. The network helps show where Daniel Ho may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ho, 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 | 2019 | 131 | |
| 2 | 2023 | 12 | |
| 3 | 2016 | 10 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 7 | |
| 7 | 2025 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 2 | |
| 12 | 2025 | 0 |
About Daniel Ho
Daniel Ho is a scholar working on Molecular Biology, Genetics, Hematology, Surgery and Neurology, having authored 12 papers that have together received 195 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Gut microbiota and health (2 papers), Pancreatic function and diabetes (1 paper), Galectins and Cancer Biology (1 paper), Gene expression and cancer classification (1 paper), Diabetes and associated disorders (1 paper) and Child Nutrition and Water Access (1 paper). The work is most often cited by research in Health Informatics (11 citations), Health Information Management (15 citations), Genetics (51 citations), Applied Microbiology and Biotechnology (3 citations) and Molecular Medicine (7 citations). Daniel Ho has collaborated with scholars based in New Zealand, Australia and United Kingdom. Frequent co-authors include Justin M. O’Sullivan, William Schierding, Richard Saffery, Melissa Wake, Brooke C. Wilson, Andreas W. Kempa-Liehr, Tommi Vatanen, Nicholas Pudjihartono, Marko Virta and John Taylor. Their work appears in journals such as Frontiers in Genetics, Current Opinion in Microbiology, RMD Open, Microbiome and Database.
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.