Ting Chan

1.1k citations
30 papers · 874 · h-index 19

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • Drug Transport and Resistance Mechanisms
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Drug Transport and Resistance Mechanisms 12
    • Single-cell and spatial transcriptomics 2
    • Natural product bioactivities and synthesis 2

Ting Chan

29 papers receiving 865 citations

Peers

Ting Chan
Comparison fields: 5 of 82
  • Cancer Research 296
  • Oncology 399
  • Biochemistry 58
  • Molecular Medicine 37
  • Pharmacology 63
Replace Mumin Shao with:
Mumin Shao China
Manuel de la Mata Spain
Martin Leníček Czechia
Hai Hu China
Naoto Fujiwara Japan
Shandra Wilson United States
Shufei Zang China
Wing-Yiu Lui Taiwan
Kumie Kage Japan
Dagmar Silbert Austria
Ting Chan relative to Mumin Shao China Mumin Shao's profile →
Citations per field
00.5×7.4×
Mumin Shao · 1×
Citations per year

Countries citing papers authored by Ting Chan

Since Specialization
Citations

This map shows the geographic impact of Ting Chan'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 Ting Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Chan more than expected).

Fields of papers citing papers by Ting Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting Chan. 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 Ting Chan. The network helps show where Ting Chan may publish in the future.

Co-authors

The 25 scholars most cited alongside Ting Chan, 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 Ting Chan Line = papers co-authored together Ting Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020121
2 202067
3 202060
4 201560
5 201559
6 201458
7 201746
8 202340
9 201340
10 201529
11 201429
12 201426
13 202024
14 202223
15 202221
16 202221
17 201921
18 202220
19 201420
20 201318

About Ting Chan

Ting Chan is a scholar working on Oncology, Molecular Biology, Cancer Research, Pediatrics, Perinatology and Child Health and Biochemistry, having authored 30 papers that have together received 874 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (12 papers), Cancer Genomics and Diagnostics (10 papers), Amino Acid Enzymes and Metabolism (4 papers), Pharmacological Effects and Toxicity Studies (4 papers), Single-cell and spatial transcriptomics (2 papers), Trace Elements in Health (2 papers), Flavonoids in Medical Research (2 papers) and Natural product bioactivities and synthesis (2 papers). The work is most often cited by research in Cancer Research (296 citations), Oncology (399 citations), Biochemistry (58 citations), Molecular Medicine (37 citations) and Pharmacology (63 citations). Ting Chan has collaborated with scholars based in Australia, Japan and China. Frequent co-authors include Yoon Ming Chin, Siew‐Kee Low, Fanfan Zhou, Yusuke Nakamura, Ling Zhu, Kazuma Kiyotani, Satoshi Nagayama, Jian Zheng, Michael T. Murray and Xiaoxi Lu. Their work appears in journals such as Molecular Pharmaceutics, Cancer Science, Clinical Chemistry, PLoS ONE and Cancers.

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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