Lap‐Ping Chung
Impact in
- Oncology top 5%
- Lung Cancer Research Studies
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- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
Papers in
-
- Cancer-related gene regulation 2
- Kruppel-like factors research 1
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- Lung Cancer Treatments and Mutations 3
- Co-authors
- Maria Pik Wong (6 shared papers)Alan Dart‐Loon Sihoe (2 shared papers)Lik‐Cheung Cheng (2 shared papers)Joseph S. K. Au (2 shared papers)Kwok‐Keung Ho (2 shared papers)Issan Yee San Tam (1 shared paper)Luc Girard (2 shared papers)David Lam (2 shared papers)
- Journals
- Cancer (3 papers)Journal of Thoracic Oncology (2 papers)Journal of Virology (2 papers)Diabetes & Metabolism (1 paper)American Journal of Hematology (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lap‐Ping Chung
12 papers receiving 1.1k citations
Lap‐Ping Chung's Hit Papers
Peers
Comparison fields: 5 of 76
- Oncology 557
- Pulmonary and Respiratory Medicine 649
- Cancer Research 217
- Pathology and Forensic Medicine 133
- Molecular Biology 476
Countries citing papers authored by Lap‐Ping Chung
This map shows the geographic impact of Lap‐Ping Chung'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 Lap‐Ping Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lap‐Ping Chung more than expected).
Fields of papers citing papers by Lap‐Ping Chung
This network shows the impact of papers produced by Lap‐Ping Chung. 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 Lap‐Ping Chung. The network helps show where Lap‐Ping Chung may publish in the future.
Co-authors
The 25 scholars most cited alongside Lap‐Ping Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The EML4‐ALK fusion gene is involved in various histologic types of lung cancers from nonsmokers with wild‐type EGFR and KRAS Hit paper breakdown → | 2009 | 569 |
| 2 | 2007 | 174 | |
| 3 | 2005 | 81 | |
| 4 | 2011 | 74 | |
| 5 | 2003 | 73 | |
| 6 | 2005 | 48 | |
| 7 | 2005 | 38 | |
| 8 | 2005 | 28 | |
| 9 | 2006 | 25 | |
| 10 | 2019 | 20 | |
| 11 | 2014 | 14 | |
| 12 | 1993 | 14 |
About Lap‐Ping Chung
Lap‐Ping Chung is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Surgery, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (3 papers), Cervical Cancer and HPV Research (3 papers), Cancer-related gene regulation (2 papers), Hepatitis B Virus Studies (2 papers), Lung Cancer Research Studies (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (1 paper), Kruppel-like factors research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (557 citations), Pulmonary and Respiratory Medicine (649 citations), Cancer Research (217 citations), Pathology and Forensic Medicine (133 citations) and Molecular Biology (476 citations). Lap‐Ping Chung has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Maria Pik Wong, Alan Dart‐Loon Sihoe, Lik‐Cheung Cheng, Joseph S. K. Au, Kwok‐Keung Ho, Issan Yee San Tam, Luc Girard, David Lam, Vicky P.C. Tin and Ruben D. Ramirez. Their work appears in journals such as Cancer, Journal of Thoracic Oncology, Journal of Virology, Diabetes & Metabolism and American Journal of Hematology.
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.