Chaoting Liu
Impact in
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- Cell death mechanisms and regulation
- Melanoma and MAPK Pathways
- Viral Infectious Diseases and Gene Expression in Insects
- RNA Interference and Gene Delivery
- TGF-β signaling in diseases
- Protein Kinase Regulation and GTPase Signaling
Papers in
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- TGF-β signaling in diseases 2
- Renal and related cancers 2
- Oncology 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Dan Mercola (6 shared papers)Eileen D. Adamson (5 shared papers)Jin Yao (3 shared papers)Antonella Calogero (2 shared papers)Ruo‐Pan Huang (2 shared papers)Ian de Belle (2 shared papers)Michael J. Birrer (1 shared paper)Ruth A. Gjerset (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Cell Research (2 papers)Nature Communications (1 paper)Critical Reviews™ in Oncogenesis (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Chaoting Liu
11 papers receiving 793 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 609
- Cancer Research 126
- Immunology and Allergy 45
- Oncology 195
- Genetics 96
Countries citing papers authored by Chaoting Liu
This map shows the geographic impact of Chaoting Liu'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 Chaoting Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoting Liu more than expected).
Fields of papers citing papers by Chaoting Liu
This network shows the impact of papers produced by Chaoting Liu. 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 Chaoting Liu. The network helps show where Chaoting Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaoting Liu, 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 | 1997 | 207 | |
| 2 | 2000 | 123 | |
| 3 | EGR-1, the reluctant suppression factor: EGR-1 is known to function in the regulation of growth, differentiation, and also has significant tumor suppressor activity and a mechanism involving the induction of TGF-beta1 is postulated to account for this suppressor activity. | 1996 | 108 |
| 4 | 1999 | 106 | |
| 5 | 1996 | 95 | |
| 6 | 1999 | 84 | |
| 7 | 2008 | 73 | |
| 8 | 2025 | 3 | |
| 9 | 2014 | 3 | |
| 10 | 2016 | 1 | |
| 11 | 1994 | 1 | |
| 12 | 1990 | 0 |
About Chaoting Liu
Chaoting Liu is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Genetics, having authored 12 papers that have together received 804 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (2 papers), TGF-β signaling in diseases (2 papers), Cancer-related Molecular Pathways (2 papers), Renal and related cancers (2 papers), Cell Adhesion Molecules Research (2 papers), Protease and Inhibitor Mechanisms (2 papers), Advanced Breast Cancer Therapies (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Molecular Biology (609 citations), Cancer Research (126 citations), Immunology and Allergy (45 citations), Oncology (195 citations) and Genetics (96 citations). Chaoting Liu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Dan Mercola, Eileen D. Adamson, Jin Yao, Antonella Calogero, Ruo‐Pan Huang, Ian de Belle, Michael J. Birrer, Ruth A. Gjerset, Olga Potapova and A. Pejmun Haghighi. Their work appears in journals such as Journal of Biological Chemistry, Cell Research, Nature Communications, Critical Reviews™ in Oncogenesis and Oncogene.
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.