Jin‐San Zhang
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 5%
- Cell Biology top 2%
- Epidemiology top 10%
- Co-authors
- Xiaokun LiRaúl UrrutiaDaniel D. BilladeauJeremy C. SmithSavério BellusciAdrienne GrzendaGwen LomberkMeiyu Quan
- Topics
- Neonatal Respiratory Health Research (20 papers)Fibroblast Growth Factor Research (15 papers)Congenital Diaphragmatic Hernia Studies (15 papers)
- Journals
- Journal of Biological ChemistryNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jin‐San Zhang
96 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 2.3k
- Pulmonary and Respiratory Medicine 667
- Oncology 611
- Cell Biology 537
- Epidemiology 428
Countries citing papers authored by Jin‐San Zhang
This map shows the geographic impact of Jin‐San 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 Jin‐San Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐San Zhang more than expected).
Fields of papers citing papers by Jin‐San Zhang
This network shows the impact of papers produced by Jin‐San 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 Jin‐San Zhang. The network helps show where Jin‐San Zhang may publish in the future.
Co-authorship network of co-authors of Jin‐San Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐San Zhang. A scholar is included among the top collaborators of Jin‐San 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 Jin‐San Zhang. Jin‐San 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 | 3 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 20 | |
| 9 | 37 | |
| 10 | 7 | |
| 11 | 109 | |
| 12 | 63 | |
| 13 | 81 | |
| 14 | 33 | |
| 15 | 28 | |
| 16 | 73 | |
| 17 | 26 | |
| 18 | The cyclooxygenase 2-specific nonsteroidal anti-inflammatory drugs celecoxib and nimesulide inhibit androgen receptor activity via induction of c-Jun in prostate cancer cells. | 37 |
| 19 | Polymorphisms of prostate-specific antigen gene promoter: determination from cord blood collected on filter paper. | 3 |
| 20 | 30 |
About Jin‐San Zhang
Jin‐San Zhang is a scholar working on Pulmonary and Respiratory Medicine, Cell Biology and Molecular Biology, having authored 98 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (20 papers), Fibroblast Growth Factor Research (15 papers) and Congenital Diaphragmatic Hernia Studies (15 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Cell Biology (537 citations) and Cancer Research (397 citations). Jin‐San Zhang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaokun Li, Raúl Urrutia, Daniel D. Billadeau, Jeremy C. Smith, Savério Bellusci, Adrienne Grzenda, Gwen Lomberk, Meiyu Quan, Charles Y.F. Young and Majid Mossahebi‐Mohammadi. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.
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.