Char Loo Tan
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Health Informatics top 10%
Papers in
- Co-authors
- Tseng Tsai Yeo (6 shared papers)Balamurugan Vellayappan (5 shared papers)Wee Yao Koh (2 shared papers)Arjun Sahgal (1 shared paper)Lih Kin Khor (1 shared paper)Jay Detsky (1 shared paper)Simon S. Lo (2 shared papers)Chik Hong Kuick (5 shared papers)
- Journals
- Brain Tumor Pathology (4 papers)World Neurosurgery (2 papers)Frontiers in Oncology (2 papers)Neuropathology (2 papers)Head and Neck Pathology (2 papers)
- Partner nations
- SingaporeUnited StatesSouth Korea
In The Last Decade
Char Loo Tan
34 papers receiving 366 citations
Peers
Comparison fields: 5 of 61
- Genetics 165
- Health Informatics 19
- Pulmonary and Respiratory Medicine 201
- Neurology 51
- Oncology 88
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 158 | |
| 2 | 2020 | 27 | |
| 3 | 2023 | 25 | |
| 4 | 2013 | 14 | |
| 5 | 2018 | 14 | |
| 6 | 2019 | 13 | |
| 7 | 1993 | 12 | |
| 8 | 2018 | 9 | |
| 9 | 2005 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2019 | 7 | |
| 13 | 2015 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2015 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2021 | 4 |
About Char Loo Tan
Char Loo Tan is a scholar working on Genetics, Neurology, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 35 papers that have together received 371 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (13 papers), Brain Metastases and Treatment (5 papers), Neuroblastoma Research and Treatments (5 papers), Histiocytic Disorders and Treatments (4 papers), AI in cancer detection (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Genetics (165 citations), Health Informatics (19 citations), Pulmonary and Respiratory Medicine (201 citations), Neurology (51 citations) and Oncology (88 citations). Char Loo Tan has collaborated with scholars based in Singapore, United States and South Korea. Frequent co-authors include Tseng Tsai Yeo, Balamurugan Vellayappan, Wee Yao Koh, Arjun Sahgal, Lih Kin Khor, Jay Detsky, Simon S. Lo, Chik Hong Kuick, Kenneth Tou En Chang and Siok‐Bian Ng. Their work appears in journals such as Brain Tumor Pathology, World Neurosurgery, Frontiers in Oncology, Neuropathology and Head and Neck Pathology.
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.