Lap‐Ping Chung

1.5k total citations · 1 hit paper
12 papers, 1.2k citations indexed

About

Lap‐Ping Chung is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Lap‐Ping Chung has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Lap‐Ping Chung's work include Cervical Cancer and HPV Research (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Hepatitis B Virus Studies (2 papers). Lap‐Ping Chung is often cited by papers focused on Cervical Cancer and HPV Research (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Hepatitis B Virus Studies (2 papers). Lap‐Ping Chung collaborates with scholars based in China, Hong Kong and United States. Lap‐Ping Chung's co-authors include Maria Pik Wong, Lik‐Cheung Cheng, Joseph S. K. Au, Alan Dart‐Loon Sihoe, Kwok‐Keung Ho, Issan Yee San Tam, Vicky P.C. Tin, David Lam, Luc Girard and Shelley Sheridan and has published in prestigious journals such as Cancer, Cancer Research and Journal of Virology.

In The Last Decade

Lap‐Ping Chung

12 papers receiving 1.1k citations

Hit Papers

The EML4‐ALK fusion gene is involved in various histologi... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers

Lap‐Ping Chung
Comparison fields: 5 of 76
  • Pulmonary and Respiratory Medicine 649
  • Oncology 557
  • Molecular Biology 476
  • Epidemiology 217
  • Cancer Research 217
B.J. Moss United States
Andrew M. Kaz United States
Yanlin Huang China
Peter T.M. Moerkerk Netherlands
Wenge Lu United States
Tapati Maity United States
S Grandjouan France
Kumar S. Bishnupuri United States
F. Alameda Spain
Tammy Sadler United States
B.J. Moss United States View profile →
Citations per field, relative to Lap‐Ping Chung
Lap‐Ping Chung · 1×
Citations per year, relative to Lap‐Ping Chung
Lap‐Ping Chung · 1×

Countries citing papers authored by Lap‐Ping Chung

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lap‐Ping Chung

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 20
2 14
3 74
4
The EML4‐ALK fusion gene is involved in various histologic types of lung cancers from nonsmokers with wild‐type EGFR and KRAS breakdown →
569
5 174
6 25
7 48
8 28
9 38
10 81
11 73
12 14

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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2026