Lin Zhang
- Molecular Biology top 1%
- Immunology top 2%
- Oncology top 2%
- Cancer Research top 1%
- Epidemiology top 2%
- Co-authors
- William Ka Kei WuMatthew T.V. ChanJing ShenSiew C. NgFrancis K.L. ChanSunny H. WongJun YuWei Hu
- Topics
- Autophagy in Disease and Therapy (20 papers)RNA modifications and cancer (19 papers)MicroRNA in disease regulation (17 papers)
- Journals
- Journal of the American Chemical SocietyNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lin Zhang
242 papers receiving 7.9k citations
Peers
Comparison fields: 5 of 162
- Molecular Biology 4.2k
- Immunology 1.4k
- Oncology 1.4k
- Cancer Research 1.2k
- Epidemiology 1.2k
Countries citing papers authored by Lin Zhang
This map shows the geographic impact of Lin Zhang'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 Lin Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Zhang more than expected).
Fields of papers citing papers by Lin Zhang
This network shows the impact of papers produced by Lin Zhang. 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 Lin Zhang. The network helps show where Lin Zhang may publish in the future.
Co-authorship network of co-authors of Lin Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Lin Zhang. A scholar is included among the top collaborators of Lin Zhang 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 Lin Zhang. Lin Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 29 | |
| 6 | 10 | |
| 7 | 10 | |
| 8 | 111 | |
| 9 | 75 | |
| 10 | 6 | |
| 11 | Effect of overexpression of Oct4 and Sox2 genes on the biological and oncological characteristics of gastric cancer cells | 1 |
| 12 | 33 | |
| 13 | 8 | |
| 14 | 212 | |
| 15 | 1 | |
| 16 | Antigenic relatedness and serotype of infectious bronchitis virus isolated in Shandong province. | 1 |
| 17 | 3 | |
| 18 | 90 | |
| 19 | 115 | |
| 20 | Influence of electroacupuncture in Zusanli(ST36) on number and network of interstitial cells Cajal of small intestine in rats with partial intestinal obstruction | 1 |
About Lin Zhang
Lin Zhang is a scholar working on Cancer Research, Immunology and Microbiology, having authored 256 papers that have together received 8.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (20 papers), RNA modifications and cancer (19 papers) and MicroRNA in disease regulation (17 papers). The work is most often cited by research in Cancer Research (1.2k citations), Immunology (1.4k citations) and Molecular Biology (4.2k citations). Lin Zhang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include William Ka Kei Wu, Matthew T.V. Chan, Jing Shen, Siew C. Ng, Francis K.L. Chan, Sunny H. Wong, Jun Yu, Wei Hu, Joseph J.�Y. Sung and Mingxing Li. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.
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.