Kwok‐Kin Wong

72.7k citations
277 papers · 28.9k indexed · 14 hit papers · h-index 87
Topics
Lung Cancer Treatments and Mutations (76 papers)HER2/EGFR in Cancer Research (34 papers)Cancer Genomics and Diagnostics (32 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Kwok‐Kin Wong

269 papers receiving 28.5k citations

Hit Papers

A Chromatin-Mediated Reversible Drug-Tolerant State in Ca...20072026201320192010200820142013200950010001.5k

Peers

Kwok‐Kin Wong
Comparison fields: 5 of 163
  • Molecular Biology 17.7k
  • Oncology 11.0k
  • Pulmonary and Respiratory Medicine 8.0k
  • Cancer Research 5.8k
  • Immunology 2.8k
Replace Hiroyuki Aburatani with:
Hiroyuki Aburatani Japan
Stephen B. Baylin United States
Richard G. Pestell United States
Towia A. Libermann United States
Marc E. Lippman United States
Peter S. Nelson United States
Seppo Ylä‐Herttuala Finland
Johannes L. Bos Netherlands
David J. Kwiatkowski United States
Jason W. Locasale United States
Kwok‐Kin Wong relative to Hiroyuki Aburatani Japan Hiroyuki Aburatani's profile →
Citations per field
00.5×1.5×
Hiroyuki Aburatani · 1×
Citations per year

Countries citing papers authored by Kwok‐Kin Wong

Since Specialization
Citations

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

Fields of papers citing papers by Kwok‐Kin Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwok‐Kin Wong. 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 Kwok‐Kin Wong. The network helps show where Kwok‐Kin Wong may publish in the future.

Co-authorship network of co-authors of Kwok‐Kin Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Kwok‐Kin Wong. A scholar is included among the top collaborators of Kwok‐Kin Wong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kwok‐Kin Wong. Kwok‐Kin Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 250
2 40
3 290
4 77
5 159
6 72
7 14
8 30
9 90
10 51
11 131
12 123
13 31
14 44
15 215
16 154
17 60
18 30
19
The T790M mutation in EGFR kinase causes drug resistance by increasing the affinity for ATPbreakdown →
1564
20 137

About Kwok‐Kin Wong

Kwok‐Kin Wong is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 277 papers that have together received 28.9k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (76 papers), HER2/EGFR in Cancer Research (34 papers) and Cancer Genomics and Diagnostics (32 papers). The work is most often cited by research in Oncology (11.0k citations), Cancer Research (5.8k citations) and Molecular Biology (17.7k citations). Kwok‐Kin Wong has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Peter S. Hammerman, Carla F. Kim, Matthew Meyerson, Christine M. Fillmore, Chen Zhao, Michael J. Eck, Danan Li, Jeffrey A. Engelman, Cai‐Hong Yun and Heidi Greulich. Their work appears in journals such as Nature, Science and Cell.

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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