Wing‐Kai Chan

4.8k citations
57 papers · 3.2k indexed · 2 hit papers · h-index 22

Wing‐Kai Chan

56 papers receiving 3.1k citations

Hit Papers

Pretreatment Epidermal Growth Factor Receptor ( EGFR) T79...4292007202620132019200400600

Peers

Wing‐Kai Chan
Comparison fields: 5 of 118
  • Cancer Research 828
  • Oncology 1.4k
  • Hepatology 302
  • Pulmonary and Respiratory Medicine 1.2k
  • Otorhinolaryngology 138
Replace Jiro Okami with:
Jiro Okami Japan
Daniel S.W. Tan Singapore
S. Kakolyris Greece
Hiroyuki Katoh Japan
Annarita Destro Italy
Y Ariyoshi Japan
Reinhard von Roemeling United States
Marco Danova Italy
Herbert H. Loong Hong Kong
Francisco Robert United States
Wing‐Kai Chan relative to Jiro Okami Japan Jiro Okami's profile →
Citations per field
00.5×1.5×
Jiro Okami · 1×
Citations per year

Countries citing papers authored by Wing‐Kai Chan

Since Specialization
Citations

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

Fields of papers citing papers by Wing‐Kai Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20224
4 202111
5
Pretreatment Epidermal Growth Factor Receptor ( EGFR ) T790M Mutation Predicts Shorter EGFR Tyrosine Kinase Inhibitor Response Duration in Patients With Non–Small-Cell Lung Cancerbreakdown →
2012429
6 201163
7 201126
8 2009404
9 2007163
10 2007122
11 200517
12 2003164
13 200123
14 19979
15 199527
16 199456
17 19871
18 19829
19 198218
20 198168

About Wing‐Kai Chan

Wing‐Kai Chan is a scholar working on Oncology, Hepatology, Pharmacology, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Colorectal Cancer Treatments and Studies (8 papers), Lung Cancer Research Studies (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Cancer therapeutics and mechanisms (6 papers), Lung Cancer Treatments and Mutations (5 papers) and Neuroendocrine Tumor Research Advances (5 papers). The work is most often cited by research in Cancer Research (828 citations), Oncology (1.4k citations), Hepatology (302 citations), Pulmonary and Respiratory Medicine (1.2k citations) and Otorhinolaryngology (138 citations). Wing‐Kai Chan has collaborated with scholars based in Taiwan, United States and New Zealand. Frequent co-authors include Pan‐Chyr Yang, Ang Yuan, Sung‐Liang Yu, Yee Chao, Jeremy J.W. Chen, Jin‐Yuan Shih, Hsuan‐Yu Chen, Gee‐Chen Chang, Wei J. Chen and Chiou-Ling Cheng. Their work appears in journals such as Journal of Clinical Oncology, Cancer, Cancer Chemotherapy and Pharmacology, Drug Information Journal and Oncology.

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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