Chun‐Houh Chen
- Molecular Biology top 5%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 5%
- Immunology top 10%
- Co-authors
- Pan‐Chyr YangAntony UnwinWolfgang Karl HärdleKer-Chau LiJeremy J.W. ChenAng YuanWei J. ChenYin-Jing Tien
- Topics
- Gene expression and cancer classification (15 papers)Genetic Associations and Epidemiology (11 papers)Bioinformatics and Genomic Networks (11 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNucleic Acids Research
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Chun‐Houh Chen
101 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 208
- Molecular Biology 1.6k
- Cancer Research 592
- Pulmonary and Respiratory Medicine 491
- Oncology 478
- Immunology 347
Countries citing papers authored by Chun‐Houh Chen
This map shows the geographic impact of Chun‐Houh Chen'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 Chun‐Houh Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Houh Chen more than expected).
Fields of papers citing papers by Chun‐Houh Chen
This network shows the impact of papers produced by Chun‐Houh Chen. 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 Chun‐Houh Chen. The network helps show where Chun‐Houh Chen may publish in the future.
Co-authorship network of co-authors of Chun‐Houh Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Houh Chen. A scholar is included among the top collaborators of Chun‐Houh Chen 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 Chun‐Houh Chen. Chun‐Houh Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 50 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 66 | |
| 10 | 64 | |
| 11 | 12 | |
| 12 | The Taiwan Schizophrenia Genetic Interaction Study | 1 |
| 13 | 77 | |
| 14 | 72 | |
| 15 | Handbook of Data Visualization (Springer Handbooks of Computational Statistics) | 32 |
| 16 | 20 | |
| 17 | 11 | |
| 18 | 56 | |
| 19 | 19 | |
| 20 | 36 |
About Chun‐Houh Chen
Chun‐Houh Chen is a scholar working on Statistics and Probability, Molecular Biology and Genetics, having authored 103 papers that have together received 4.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (15 papers), Genetic Associations and Epidemiology (11 papers) and Bioinformatics and Genomic Networks (11 papers). The work is most often cited by research in Cancer Research (592 citations), Statistics and Probability (215 citations) and Biological Psychiatry (59 citations). Chun‐Houh Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Pan‐Chyr Yang, Antony Unwin, Wolfgang Karl Härdle, Ker-Chau Li, Jeremy J.W. Chen, Ang Yuan, Wei J. Chen, Yin-Jing Tien, Sung‐Liang Yu and Hsuan‐Yu Chen. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.