Hon‐Cheong So
- Genetics top 5%
- Molecular Biology
- Infectious Diseases top 10%
- Psychiatry and Mental health top 10%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Pak C. ShamAlexandria LauShitao RaoStacey S. ChernyKai ZhaoCarlos Kwan‐Long ChauEric ChenPak-Chung Sham
- Topics
- Genetic Associations and Epidemiology (30 papers)Bioinformatics and Genomic Networks (10 papers)Genomics and Rare Diseases (8 papers)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Hon‐Cheong So
55 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Genetics 555
- Molecular Biology 433
- Infectious Diseases 185
- Psychiatry and Mental health 170
- Experimental and Cognitive Psychology 165
Countries citing papers authored by Hon‐Cheong So
This map shows the geographic impact of Hon‐Cheong So'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 Hon‐Cheong So with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hon‐Cheong So more than expected).
Fields of papers citing papers by Hon‐Cheong So
This network shows the impact of papers produced by Hon‐Cheong So. 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 Hon‐Cheong So. The network helps show where Hon‐Cheong So may publish in the future.
Co-authorship network of co-authors of Hon‐Cheong So
This figure shows the co-authorship network connecting the top 25 collaborators of Hon‐Cheong So. A scholar is included among the top collaborators of Hon‐Cheong So 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 Hon‐Cheong So. Hon‐Cheong So is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 3 | |
| 13 | Causal associations of short and long sleep durations with 12 cardiovascular diseases: linear and nonlinear Mendelian randomization analyses in UK Biobankbreakdown → | 166 |
| 14 | 2 | |
| 15 | 184 | |
| 16 | 25 | |
| 17 | 66 | |
| 18 | A machine learning approach to drug repositioning based on drug expression profiles: Applications in psychiatry | 1 |
| 19 | 33 | |
| 20 | 11 |
About Hon‐Cheong So
Hon‐Cheong So is a scholar working on Genetics, Biological Psychiatry and Statistics and Probability, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (30 papers), Bioinformatics and Genomic Networks (10 papers) and Genomics and Rare Diseases (8 papers). The work is most often cited by research in Biological Psychiatry (70 citations), Genetics (555 citations) and Experimental and Cognitive Psychology (165 citations). Hon‐Cheong So has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Pak C. Sham, Alexandria Lau, Shitao Rao, Stacey S. Cherny, Kai Zhao, Carlos Kwan‐Long Chau, Eric Chen, Pak-Chung Sham, Miaoxin Li and Johnny S. H. Kwan. Their work appears in journals such as Nature Communications, Nature Neuroscience and Bioinformatics.
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.