Jin‐San Zhang

6.2k citations
98 papers · 3.9k indexed · h-index 35

Jin‐San Zhang

96 papers receiving 3.9k citations

Peers

Jin‐San Zhang
Comparison fields: 5 of 129
  • Molecular Biology 2.3k
  • Cell Biology 537
  • Cancer Research 397
  • Oncology 611
  • Pulmonary and Respiratory Medicine 667
Replace Nicola Brunetti‐Pierri with:
Nicola Brunetti‐Pierri Italy
Cristina C. Clement United States
Tingting Liu China
Fei Chen China
Toshiyuki Fukao Japan
Gerasimos P. Sykiotis Switzerland
Hui Gong China
Hong Yang China
Donatella Tramontano Italy
Hirohisa Kurachi Japan
Jin‐San Zhang relative to Nicola Brunetti‐Pierri Italy Nicola Brunetti‐Pierri's profile →
Citations per field
00.5×1.5×
Nicola Brunetti‐Pierri · 1×
Citations per year

Countries citing papers authored by Jin‐San Zhang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Jin‐San Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin‐San Zhang Line = papers co-authored together Jin‐San Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20238
4 20221
5 20214
6 20218
7 20219
8 202020
9 201637
10 20167
11 2016109
12 201663
13 201681
14 201533
15 201228
16 201173
17 201126
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.
200337
19
Polymorphisms of prostate-specific antigen gene promoter: determination from cord blood collected on filter paper.
20033
20 199830

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), Congenital Diaphragmatic Hernia Studies (15 papers), Medical Imaging and Pathology Studies (11 papers), Cancer-related gene regulation (11 papers), Wnt/β-catenin signaling in development and cancer (8 papers), Autophagy in Disease and Therapy (8 papers) and Pancreatic and Hepatic Oncology Research (7 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.

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