Char Loo Tan

637 citations
36 papers · 398 · h-index 10

Impact in

Papers in

    • Glioma Diagnosis and Treatment 11
    • Neuroblastoma Research and Treatments 5
    • Neurofibromatosis and Schwannoma Cases 3

Char Loo Tan

36 papers receiving 391 citations

Peers

Char Loo Tan
Comparison fields: 5 of 54
  • Health Informatics 18
  • Genetics 111
  • Pulmonary and Respiratory Medicine 171
  • Neurology 36
  • Oncology 55
Replace Tam N.M. Ngo with:
Tam N.M. Ngo United States
Jung Youn Kim South Korea
Melissa McGettigan United States
Julian M.M. Rogasch Germany
Roman O. Kowalchuk United States
Gordian Hamerla Germany
Willem Grootjans Netherlands
Raymond Endozo United Kingdom
Ayushi Sahay India
Witold Cholewiński Poland
Char Loo Tan relative to Tam N.M. Ngo United States Tam N.M. Ngo's profile →
Citations per field
00.5×3.1×
Tam N.M. Ngo · 1×
Citations per year

Countries citing papers authored by Char Loo Tan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Char Loo Tan Line = papers co-authored together Char Loo Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018170
2 202030
3 202327
4 201814
5 201314
6 201913
7 199312
8 201912
9 20219
10 20189
11 20199
12 20059
13 20207
14 20157
15 20206
16 20235
17 20205
18 20185
19 20155
20 20214

About Char Loo Tan

Char Loo Tan is a scholar working on Genetics, Neurology, Pulmonary and Respiratory Medicine, Oncology and Physiology, having authored 36 papers that have together received 398 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Neuroblastoma Research and Treatments (5 papers), Histiocytic Disorders and Treatments (4 papers), Brain Metastases and Treatment (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Bone Tumor Diagnosis and Treatments (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Health Informatics (18 citations), Genetics (111 citations), Pulmonary and Respiratory Medicine (171 citations), Neurology (36 citations) and Oncology (55 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, Simon S. Lo, Jay Detsky, Kenneth Tou En Chang, Chik Hong Kuick and Siok‐Bian Ng. Their work appears in journals such as Brain Tumor Pathology, Frontiers in Oncology, Neuropathology, World Neurosurgery 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.

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