Liang You
- Co-authors
- Sonia B. JakowlewTerry W. MoodyJennifer MarianoLaurent OzbunJerry AngdisenSharon C. KiangAlfredo Martı́nezGary D. Stoner
- Topics
- TGF-β signaling in diseases (4 papers)Carcinogens and Genotoxicity Assessment (3 papers)Epigenetics and DNA Methylation (3 papers)
- Journals
- CarcinogenesisThe Annals of Thoracic SurgeryAmerican Journal of Respiratory Cell and Molecular Biology
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Liang You
21 papers receiving 411 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 241
- Oncology 98
- Cancer Research 82
- Pulmonary and Respiratory Medicine 58
- Genetics 58
Countries citing papers authored by Liang You
This map shows the geographic impact of Liang You'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 Liang You with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang You more than expected).
Fields of papers citing papers by Liang You
This network shows the impact of papers produced by Liang You. 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 Liang You. The network helps show where Liang You may publish in the future.
Co-authorship network of co-authors of Liang You
This figure shows the co-authorship network connecting the top 25 collaborators of Liang You. A scholar is included among the top collaborators of Liang You 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 Liang You. Liang You is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 24 | |
| 3 | 14 | |
| 4 | Genistein Suppresses Growth of Human Uterine Sarcoma Cell Lines via Multiple Mechanisms. | 8 |
| 5 | WIF-1 silencing due to promoter hypermethylation in nasopharyngeal carcinoma cell lines | 2 |
| 6 | 7 | |
| 7 | FIELD APPLICATION OF KIT OF DIPSTICK DYE IMMUNO-ASSAY FOR DETECTING SCHISTOSOMIASIS | 1 |
| 8 | 60 | |
| 9 | Indomethacin reduces lung adenoma number in A/J mice. | 39 |
| 10 | 54 | |
| 11 | 24 | |
| 12 | 15 | |
| 13 | 4 | |
| 14 | 23 | |
| 15 | 8 | |
| 16 | 24 | |
| 17 | 14 | |
| 18 | 21 | |
| 19 | 40 | |
| 20 | 15 |
About Liang You
Liang You is a scholar working on Cancer Research, Immunology and Allergy and Parasitology, having authored 22 papers that have together received 419 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (82 citations), Oncology (98 citations) and Molecular Biology (241 citations). Liang You has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Sonia B. Jakowlew, Terry W. Moody, Jennifer Mariano, Laurent Ozbun, Jerry Angdisen, Sharon C. Kiang, Alfredo Martı́nez, Gary D. Stoner, David M. Jablons and Ming You. Their work appears in journals such as Carcinogenesis, The Annals of Thoracic Surgery and American Journal of Respiratory Cell and Molecular 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.