Ching-Ling Lien
Impact in
- Molecular Biology top 10%
- Congenital heart defects research
- Developmental Biology and Gene Regulation
- Pluripotent Stem Cells Research
- RNA modifications and cancer
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
Papers in
-
- Congenital heart defects research 8
- Developmental Biology and Gene Regulation 3
- Signaling Pathways in Disease 1
- Angiogenesis and VEGF in Cancer 1
- Surgery 3
- Pancreatic function and diabetes 1
- Co-authors
- Eric N. Olson (4 shared papers)James A. Richardson (3 shared papers)Shinji Makino (2 shared papers)Mark T. Keating (2 shared papers)R. Clinton Webb (1 shared paper)Brian M. Mercer (1 shared paper)John McAnally (1 shared paper)Jeffery D. Molkentin (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Developmental Biology (2 papers)Science (1 paper)Development (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- United StatesPolandJapan
In The Last Decade
Ching-Ling Lien
11 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 976
- Cell Biology 158
- Cardiology and Cardiovascular Medicine 150
- Genetics 175
- Cancer Research 91
Countries citing papers authored by Ching-Ling Lien
This map shows the geographic impact of Ching-Ling Lien'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 Ching-Ling Lien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching-Ling Lien more than expected).
Fields of papers citing papers by Ching-Ling Lien
This network shows the impact of papers produced by Ching-Ling Lien. 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 Ching-Ling Lien. The network helps show where Ching-Ling Lien may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching-Ling Lien, 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 | 2005 | 235 | |
| 2 | 1999 | 232 | |
| 3 | 2006 | 151 | |
| 4 | 2013 | 120 | |
| 5 | 2002 | 105 | |
| 6 | 2014 | 76 | |
| 7 | 2005 | 72 | |
| 8 | 2014 | 50 | |
| 9 | 2004 | 44 | |
| 10 | 2015 | 27 | |
| 11 | 2011 | 15 |
About Ching-Ling Lien
Ching-Ling Lien is a scholar working on Molecular Biology, Surgery, Epidemiology, Cell Biology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Congenital heart defects research (8 papers), Congenital Heart Disease Studies (3 papers), Developmental Biology and Gene Regulation (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Coronary Artery Anomalies (2 papers), Pancreatic function and diabetes (1 paper), Signaling Pathways in Disease (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Molecular Biology (976 citations), Cell Biology (158 citations), Cardiology and Cardiovascular Medicine (150 citations), Genetics (175 citations) and Cancer Research (91 citations). Ching-Ling Lien has collaborated with scholars based in United States, Poland and Japan. Frequent co-authors include Eric N. Olson, James A. Richardson, Shinji Makino, Mark T. Keating, R. Clinton Webb, Brian M. Mercer, John McAnally, Jeffery D. Molkentin, Christopher A. Davis and Stephen A. Duncan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Developmental Biology, Science, Development and Arteriosclerosis Thrombosis and Vascular Biology.
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.