Danny Liaw
Impact in
- Cancer Research top 2%
- Molecular Biology top 1%
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Polyamine Metabolism and Applications
- Ubiquitin and proteasome pathways
- Protein Tyrosine Phosphatases
Papers in
-
- Atrial Fibrillation Management and Outcomes 7
- Antiplatelet Therapy and Cardiovascular Diseases 6
- Acute Myocardial Infarction Research 3
- Co-authors
- Ramon ParsonsSteven I. WangShikha BoseLinda RodgersSandra H. BignerMichael WiglerJing LiKatrina Podsypanina
- Journals
- American Heart Journal (3 papers)Journal of the American College of Cardiology (2 papers)Nature Genetics (1 paper)Orphanet Journal of Rare Diseases (1 paper)Heart (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Danny Liaw
14 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Cancer Research 989
- Molecular Biology 4.5k
- Genetics 653
- Pathology and Forensic Medicine 884
- Oncology 1.2k
Countries citing papers authored by Danny Liaw
This map shows the geographic impact of Danny Liaw'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 Danny Liaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Liaw more than expected).
Fields of papers citing papers by Danny Liaw
This network shows the impact of papers produced by Danny Liaw. 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 Danny Liaw. The network helps show where Danny Liaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Danny Liaw, 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 | 2025 | 0 | |
| 2 | 2019 | 69 | |
| 3 | 2019 | 7 | |
| 4 | 2018 | 55 | |
| 5 | 2017 | 7 | |
| 6 | 2015 | 34 | |
| 7 | 2015 | 1 | |
| 8 | 2015 | 9 | |
| 9 | 2015 | 13 | |
| 10 | Abstract 14643: Apixaban Plus Mono versus Dual Antiplatelet Therapy After Acute Coronary Syndromes: Insights from the APPRAISE-2 Trial | 2014 | 0 |
| 11 | 2009 | 7 | |
| 12 | 2001 | 55 | |
| 13 | Germline mutations of the PTEN gene in Cowden disease, an inherited breast and thyroid cancer syndrome Hit paper breakdown → | 1997 | 1533 |
| 14 | 1997 | 7 | |
| 15 | PTEN , a Putative Protein Tyrosine Phosphatase Gene Mutated in Human Brain, Breast, and Prostate Cancer Hit paper breakdown → | 1997 | 3896 |
| 16 | 1997 | 101 |
About Danny Liaw
Danny Liaw is a scholar working on Biological Psychiatry, Cardiology and Cardiovascular Medicine, Internal Medicine, Hematology and Immunology and Allergy, having authored 16 papers that have together received 5.8k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Acute Myocardial Infarction Research (3 papers), Acute Ischemic Stroke Management (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Cancer Research (989 citations), Molecular Biology (4.5k citations), Genetics (653 citations), Pathology and Forensic Medicine (884 citations) and Oncology (1.2k citations). Danny Liaw has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Ramon Parsons, Steven I. Wang, Shikha Bose, Linda Rodgers, Sandra H. Bigner, Michael Wigler, Jing Li, Katrina Podsypanina, Ben Tycko and Michael Ittmann. Their work appears in journals such as American Heart Journal, Journal of the American College of Cardiology, Nature Genetics, Orphanet Journal of Rare Diseases and Heart.
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.