Chi-Wan Chow

888 total citations
9 papers, 11 citations indexed

About

Chi-Wan Chow is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Chi-Wan Chow has authored 9 papers receiving a total of 11 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Molecular Biology. Recurrent topics in Chi-Wan Chow's work include Cancer Genomics and Diagnostics (4 papers), RNA modifications and cancer (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Chi-Wan Chow is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), RNA modifications and cancer (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Chi-Wan Chow collaborates with scholars based in United States, China and Canada. Chi-Wan Chow's co-authors include Junya Fujimoto, P. Andrew Futreal, Neda Kalhor, Stephen G. Swisher, Ignacio I. Wistuba, John V. Heymach, Souptik Barua, Edwin J. Ostrin, Sahil Seth and César A. Moran and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Molecular Sciences and Journal of Thoracic Oncology.

In The Last Decade

Chi-Wan Chow

6 papers receiving 11 citations

Peers

Chi-Wan Chow

ONCOL

PRM

EPIDE

IMMUN

MB

Graziella Bosco Spain

John E. Doster United States

Jared Block United States

Atif Asrar Japan

Maya Khalil United States

Mårten Werner Sweden

Helen Kakkassery United Kingdom

Alec Maynard United Kingdom

Sara Ramos Lopes Portugal

Harijs Čerņevskis Latvia

Graziella Bosco Spain

Chi-Wan Chow

6 ×0.7

ONCOL

4 ×1.0

PRM

3 ×1.0

EPIDE

4 ×1.3

IMMUN

3 ×1.5

MB

Citations per year, relative to Chi-Wan Chow Chi-Wan Chow (= 1×) peers Graziella Bosco

Countries citing papers authored by Chi-Wan Chow

Since Specialization

Citations

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

Fields of papers citing papers by Chi-Wan Chow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi-Wan Chow

This figure shows the co-authorship network connecting the top 25 collaborators of Chi-Wan Chow. A scholar is included among the top collaborators of Chi-Wan Chow 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 Chi-Wan Chow. Chi-Wan Chow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Tai, Mei-Chee, Leonidas E. Bantis, Ichidai Tanaka, et al.. (2024). Circulating microRNA Panel for Prediction of Recurrence and Survival in Early-Stage Lung Adenocarcinoma. International Journal of Molecular Sciences. 25(4). 2331–2331.

2.

Li, Chenyang, Jiànróng Lǐ, Xingzhi Song, et al.. (2024). Multiregional transcriptomic profiling provides improved prognostic insight in localized non-small cell lung cancer. npj Precision Oncology. 8(1). 225–225. 1 indexed citations

3.

Lee, Won‐Chul, Daniel R. Gomez, Jianhua Zhang, et al.. (2019). Abstract 2741: Comprehensive molecular profiling of primary tumors and paired distant metastases in non-small cell lung cancer. Tumor Biology. 2741–2741.

4.

Francisco‐Cruz, Alejandro, Edwin R. Parra, Mei Jiang, et al.. (2018). OA03.05 Characterization of the Immunologic Intra-Tumor Heterogeneity in Early Stages of Non-Small Cell Lung Cancer by Multiplex Immunofluorescence. Journal of Thoracic Oncology. 13(10). S325–S326. 2 indexed citations

5.

Reuben, Alexandre, Rachel Gittelman, Jiexin Zhang, et al.. (2018). Association of the T-cell receptor landscape with survival in non-small cell lung cancer.. Journal of Clinical Oncology. 36(5_suppl). 140–140.

6.

Quek, Kelly, Jun Li, Junya Fujimoto, et al.. (2017). Intratumor heterogeneity of stage IA lung adenocarcinoma by multiregion whole exome sequencing and association with survival.. Journal of Clinical Oncology. 35(15_suppl). 8545–8545. 1 indexed citations

7.

Tang, Ming, Neda Kalhor, Maheshwari Ramineni, et al.. (2017). Histology determination of lung cancers: A report on genomic profiling of lung cancer of mixing histology.. Journal of Clinical Oncology. 35(15_suppl). 8570–8570. 3 indexed citations

8.

Zhang, Jianjun, Junya Fujimoto, Jianhua Zhang, et al.. (2014). Intratumor heterogeneity (ITH) of lung adenocarcinomas defined by multiregion whole exome sequencing (WES).. Journal of Clinical Oncology. 32(15_suppl). 11032–11032. 3 indexed citations

9.

Kilari, Deepak, Ximing Tang, Chi-Wan Chow, et al.. (2013). Copper transporter CTR1 expression and tissue platinum concentration in NSCLC.. Journal of Clinical Oncology. 31(15_suppl). 2601–2601. 1 indexed citations

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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