Zhenyong Tang
- Molecular Biology top 10%
- Cell Biology top 1%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine
- Cancer Research
- Co-authors
- Massimo SargiacomoMichael P. LisantiMarius SudolEric KüblerKenneth SongPhilipp E. SchererYuntian TangWeiyuan Wei
- Topics
- Caveolin-1 and cellular processes (3 papers)Liver Disease Diagnosis and Treatment (2 papers)Circular RNAs in diseases (2 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Cell BiologyArchives of Biochemistry and Biophysics
- Partner nations
- ChinaUnited States
In The Last Decade
Zhenyong Tang
10 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Molecular Biology 1.2k
- Cell Biology 1.2k
- Physiology 388
- Cardiology and Cardiovascular Medicine 130
- Cancer Research 118
Countries citing papers authored by Zhenyong Tang
This map shows the geographic impact of Zhenyong Tang'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 Zhenyong Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenyong Tang more than expected).
Fields of papers citing papers by Zhenyong Tang
This network shows the impact of papers produced by Zhenyong Tang. 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 Zhenyong Tang. The network helps show where Zhenyong Tang may publish in the future.
Co-authorship network of co-authors of Zhenyong Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyong Tang. A scholar is included among the top collaborators of Zhenyong Tang 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 Zhenyong Tang. Zhenyong Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 26 | |
| 6 | 16 | |
| 7 | 19 | |
| 8 | 59 | |
| 9 | Analysis of hemorrhagic fever with renal syndrome and its pathogenic gene sequence based on geographic information system. | 0 |
| 10 | 465 | |
| 11 | Signal transducing molecules and glycosyl-phosphatidylinositol-linked proteins form a caveolin-rich insoluble complex in MDCK cellsbreakdown → | 864 |
| 12 | 171 |
About Zhenyong Tang
Zhenyong Tang is a scholar working on Biochemistry, Cancer Research and Geriatrics and Gerontology, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cell Biology (1.2k citations), Molecular Biology (1.2k citations) and Physiology (388 citations). Zhenyong Tang has collaborated with scholars based in China and United States. Frequent co-authors include Massimo Sargiacomo, Michael P. Lisanti, Marius Sudol, Eric Kübler, Kenneth Song, Philipp E. Scherer, Yuntian Tang, Weiyuan Wei, Qiang Xiao and Lei Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Archives of Biochemistry and Biophysics.
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.