Chit Chow

2.6k citations
53 papers · 1.4k indexed · 1 hit paper · h-index 21

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
  • Oncology top 5%
    • Lung Cancer Research Studies
    • Viral-associated cancers and disorders

Papers in

Chit Chow

51 papers receiving 1.4k citations

Hit Papers

MET Amplification and Exon 14 Splice Site Mutation Define Unique Molecular Subgroups of Non–Small Cell Lung Carcinoma with Poor Prognosis 2016 · 330 citations
3300+3+6Years since publication100200300

Peers

Chit Chow
Comparison fields: 5 of 80
  • Cancer Research 396
  • Oncology 646
  • Hepatology 147
  • Pulmonary and Respiratory Medicine 568
  • Pathology and Forensic Medicine 184
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Chit Chow relative to Takashi Sakatani Japan Takashi Sakatani's profile →
Citations per field
00.5×1.5×2.2×
Takashi Sakatani · 1×
Citations per year

Countries citing papers authored by Chit Chow

Since Specialization
Citations

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

Fields of papers citing papers by Chit Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MET Amplification and Exon 14 Splice Site Mutation Define Unique Molecular Subgroups of Non–Small Cell Lung Carcinoma with Poor Prognosis
Hit paper breakdown →
2016330
2 2013103
3 201270
4 201865
5 201155
6 201552
7 201352
8 200542
9 201838
10 202038
11 201836
12 200936
13 201934
14 201632
15 201929
16 202029
17 201928
18 201427
19 201925
20 200322

About Chit Chow

Chit Chow is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Pathology and Forensic Medicine, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Cancer-related molecular mechanisms research (7 papers), Sarcoma Diagnosis and Treatment (7 papers), Genetic factors in colorectal cancer (5 papers), Lung Cancer Treatments and Mutations (5 papers), Viral-associated cancers and disorders (4 papers), Cancer Cells and Metastasis (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Cancer Research (396 citations), Oncology (646 citations), Hepatology (147 citations), Pulmonary and Respiratory Medicine (568 citations) and Pathology and Forensic Medicine (184 citations). Chit Chow has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Ka‐Fai To, Anthony W.H. Chan, Raymond Wai Ming Lung, Tony Mok, Kwok Wai Lo, Carol Y. Tong, Joanna H. Tong, Shuk L. Chau, Lau Y. Chung and Calvin S.H. Ng. Their work appears in journals such as The Journal of Pathology, Cancers, Genes Chromosomes and Cancer, Pathology and Journal of Thoracic 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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