Chris Liang
Impact in
- Oncology top 5%
- Lung Cancer Research Studies
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- Lung Cancer Treatments and Mutations
- Renal cell carcinoma treatment
Papers in
- Oncology 21
- Pancreatic and Hepatic Oncology Research 8
- Lung Cancer Research Studies 6
- Colorectal Cancer Treatments and Studies 3
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- Lung Cancer Treatments and Mutations 16
- Co-authors
- Christine M. Lovly (10 shared papers)Cho Tang (3 shared papers)William Pao (3 shared papers)Xueyan Wang (1 shared paper)Hui Chen (1 shared paper)James Cheng‐Chung Wei (1 shared paper)Yong Zhou (1 shared paper)Jean Cui (1 shared paper)
- Journals
- Journal of Clinical Oncology (8 papers)Cancer Research (4 papers)Journal of Thoracic Oncology (4 papers)Cancer Chemotherapy and Pharmacology (2 papers)Oncotarget (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Chris Liang
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Oncology 393
- Pulmonary and Respiratory Medicine 436
- Organic Chemistry 237
- Ophthalmology 63
- Molecular Biology 518
Countries citing papers authored by Chris Liang
This map shows the geographic impact of Chris Liang'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 Chris Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Liang more than expected).
Fields of papers citing papers by Chris Liang
This network shows the impact of papers produced by Chris Liang. 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 Chris Liang. The network helps show where Chris Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 426 | |
| 2 | 2011 | 178 | |
| 3 | 2018 | 134 | |
| 4 | 2006 | 79 | |
| 5 | 2003 | 45 | |
| 6 | 2017 | 36 | |
| 7 | 2021 | 28 | |
| 8 | 2014 | 28 | |
| 9 | 2018 | 21 | |
| 10 | 2022 | 20 | |
| 11 | 2012 | 16 | |
| 12 | 2015 | 14 | |
| 13 | 2014 | 12 | |
| 14 | 2014 | 11 | |
| 15 | 2016 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2016 | 7 | |
| 19 | 2012 | 6 | |
| 20 | 2018 | 6 |
About Chris Liang
Chris Liang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Pathology and Forensic Medicine and Organic Chemistry, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (16 papers), Cancer Mechanisms and Therapy (9 papers), Pancreatic and Hepatic Oncology Research (8 papers), Lung Cancer Research Studies (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Angiogenesis and VEGF in Cancer (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Oncology (393 citations), Pulmonary and Respiratory Medicine (436 citations), Organic Chemistry (237 citations), Ophthalmology (63 citations) and Molecular Biology (518 citations). Chris Liang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Christine M. Lovly, Cho Tang, William Pao, Xueyan Wang, Hui Chen, James Cheng‐Chung Wei, Yong Zhou, Jean Cui, Li Sun and Tony C. Luu. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Journal of Thoracic Oncology, Cancer Chemotherapy and Pharmacology and Oncotarget.
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.