Kee-Seng Chia
Impact in
- Epidemiology top 10%
- Ophthalmology and Visual Impairment Studies
- Multiple and Secondary Primary Cancers
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
Papers in
-
- Multiple and Secondary Primary Cancers 1
- Ophthalmology and Visual Impairment Studies 1
- Surgery 1
- Esophageal Cancer Research and Treatment 1
- Co-authors
- Donald Tan (1 shared paper)Seang‐Mei Saw (1 shared paper)Louis Tong (1 shared paper)Wei‐Han Chua (1 shared paper)David Koh (1 shared paper)Joanne Katz (1 shared paper)Ghislaine Scélo (4 shared papers)Elizabeth Tracey (4 shared papers)
- Journals
- European Journal of Cancer (1 paper)Cancer Causes & Control (1 paper)American Journal of Epidemiology (1 paper)Cancer Epidemiology Biomarkers & Prevention (1 paper)Investigative Ophthalmology & Visual Science (1 paper)
- Partner nations
- SingaporeIcelandUnited Kingdom
In The Last Decade
Kee-Seng Chia
5 papers receiving 537 citations
Peers
Comparison fields: 5 of 56
- Epidemiology 325
- Otorhinolaryngology 39
- Ophthalmology 64
- Pathology and Forensic Medicine 70
- Radiology, Nuclear Medicine and Imaging 78
Countries citing papers authored by Kee-Seng Chia
This map shows the geographic impact of Kee-Seng Chia'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 Kee-Seng Chia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kee-Seng Chia more than expected).
Fields of papers citing papers by Kee-Seng Chia
This network shows the impact of papers produced by Kee-Seng Chia. 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 Kee-Seng Chia. The network helps show where Kee-Seng Chia may publish in the future.
Co-authors
The 25 scholars most cited alongside Kee-Seng Chia, 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 | 2004 | 316 | |
| 2 | 2007 | 114 | |
| 3 | 2008 | 73 | |
| 4 | 2007 | 46 | |
| 5 | 2006 | 26 |
About Kee-Seng Chia
Kee-Seng Chia is a scholar working on Epidemiology, Surgery, Otorhinolaryngology, Pediatrics, Perinatology and Child Health and Oncology, having authored 5 papers that have together received 575 indexed citations. Recurring topics across this work include Multiple and Secondary Primary Cancers (1 paper), Ophthalmology and Visual Impairment Studies (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Head and Neck Cancer Studies (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper) and Esophageal Cancer Research and Treatment (1 paper). The work is most often cited by research in Epidemiology (325 citations), Otorhinolaryngology (39 citations), Ophthalmology (64 citations), Pathology and Forensic Medicine (70 citations) and Radiology, Nuclear Medicine and Imaging (78 citations). Kee-Seng Chia has collaborated with scholars based in Singapore, Iceland and United Kingdom. Frequent co-authors include Donald Tan, Seang‐Mei Saw, Louis Tong, Wei‐Han Chua, David Koh, Joanne Katz, Ghislaine Scélo, Elizabeth Tracey, Paul Brennan and Kari Hemminki. Their work appears in journals such as European Journal of Cancer, Cancer Causes & Control, American Journal of Epidemiology, Cancer Epidemiology Biomarkers & Prevention and Investigative Ophthalmology & Visual Science.
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.