Chaoting Liu
Impact in
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- Cell death mechanisms and regulation
- Viral Infectious Diseases and Gene Expression in Insects
- Melanoma and MAPK Pathways
- TGF-β signaling in diseases
- RNA Interference and Gene Delivery
Papers in
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- Protease and Inhibitor Mechanisms 2
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- Cell Adhesion Molecules Research 2
- Co-authors
- Dan Mercola (6 shared papers)Eileen D. Adamson (5 shared papers)Jin Juan Yao (3 shared papers)Antonella Calogero (2 shared papers)Ian de Belle (2 shared papers)Ruo‐Pan Huang (2 shared papers)Frédéric Bost (1 shared paper)Olga Potapova (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Cell Research (2 papers)Oncogene (1 paper)Nature Communications (1 paper)Critical Reviews™ in Oncogenesis (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Chaoting Liu
10 papers receiving 797 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 569
- Cancer Research 111
- Immunology and Allergy 44
- Oncology 170
- Developmental Neuroscience 15
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 | 206 | |
| 2 | 2000 | 121 | |
| 3 | 1999 | 109 | |
| 4 | 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 |
| 5 | 1996 | 96 | |
| 6 | 1999 | 84 | |
| 7 | 2008 | 80 | |
| 8 | 2025 | 7 | |
| 9 | 2016 | 1 | |
| 10 | 1994 | 1 | |
| 11 | 1990 | 0 |
About Chaoting Liu
Chaoting Liu is a scholar working on Cancer Research, Immunology and Allergy, Molecular Biology, Immunology and Oncology, having authored 11 papers that have together received 813 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (2 papers), Cell Adhesion Molecules Research (2 papers), TGF-β signaling in diseases (2 papers), Protease and Inhibitor Mechanisms (2 papers), Renal and related cancers (2 papers), Acute Myeloid Leukemia Research (1 paper), Cancer Research and Treatments (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (569 citations), Cancer Research (111 citations), Immunology and Allergy (44 citations), Oncology (170 citations) and Developmental Neuroscience (15 citations). Chaoting Liu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Dan Mercola, Eileen D. Adamson, Jin Juan Yao, Antonella Calogero, Ian de Belle, Ruo‐Pan Huang, Frédéric Bost, Olga Potapova, Michael J. Birrer and Ali Pejmun Haghighi. Their work appears in journals such as Journal of Biological Chemistry, Cell Research, Oncogene, Nature Communications and Critical Reviews™ in Oncogenesis.
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.