Char Loo Tan
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
- Genetics 16
- Glioma Diagnosis and Treatment 15
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- Brain Metastases and Treatment 2
- Lung Cancer Treatments and Mutations 1
- Co-authors
- Tseng Tsai Yeo (6 shared papers)Balamurugan A. Vellayappan (6 shared papers)Wee Yao Koh (2 shared papers)Simon Shek-Man Lo (2 shared papers)Lih Kin Khor (1 shared paper)Arjun Sahgal (1 shared paper)Jay S. Detsky (1 shared paper)Yu Yang Soon (3 shared papers)
- Journals
- Brain Tumor Pathology (4 papers)Frontiers in Oncology (2 papers)Neuropathology (2 papers)World Neurosurgery (2 papers)Journal of Neuropathology & Experimental Neurology (2 papers)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Char Loo Tan
36 papers receiving 436 citations
Peers
Comparison fields: 5 of 50
- Genetics 99
- Health Informatics 24
- Pulmonary and Respiratory Medicine 176
- Radiology, Nuclear Medicine and Imaging 53
- Neurology 17
Countries citing papers authored by Char Loo Tan
This map shows the geographic impact of Char Loo Tan'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 Char Loo Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Char Loo Tan more than expected).
Fields of papers citing papers by Char Loo Tan
This network shows the impact of papers produced by Char Loo Tan. 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 Char Loo Tan. The network helps show where Char Loo Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Char Loo Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 183 | |
| 2 | 2020 | 31 | |
| 3 | 2023 | 26 | |
| 4 | 2024 | 20 | |
| 5 | 2013 | 14 | |
| 6 | 2018 | 14 | |
| 7 | 2019 | 14 | |
| 8 | 2019 | 14 | |
| 9 | 1993 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 2019 | 11 | |
| 12 | 2005 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2015 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2015 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2018 | 5 |
About Char Loo Tan
Char Loo Tan is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Surgery, Oncology and Physiology, having authored 39 papers that have together received 449 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (15 papers), Pituitary Gland Disorders and Treatments (2 papers), Histiocytic Disorders and Treatments (2 papers), Brain Metastases and Treatment (2 papers), AI in cancer detection (2 papers), Lung Cancer Treatments and Mutations (1 paper), Gastrointestinal Tumor Research and Treatment (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Genetics (99 citations), Health Informatics (24 citations), Pulmonary and Respiratory Medicine (176 citations), Radiology, Nuclear Medicine and Imaging (53 citations) and Neurology (17 citations). Char Loo Tan has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Tseng Tsai Yeo, Balamurugan A. Vellayappan, Wee Yao Koh, Simon Shek-Man Lo, Lih Kin Khor, Arjun Sahgal, Jay S. Detsky, Yu Yang Soon, Chik Hong Kuick and Kenneth Tou En Chang. Their work appears in journals such as Brain Tumor Pathology, Frontiers in Oncology, Neuropathology, World Neurosurgery and Journal of Neuropathology & Experimental Neurology.
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.