Ju Zhang
Impact in
- Molecular Medicine top 1%
- Hydrogels: synthesis, properties, applications
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 12
- Epigenetics and DNA Methylation 9
- Epidemiology 32
- Hepatitis B Virus Studies 9
- Co-authors
- Robert Pelton (6 shared papers)Deling Kong (15 shared papers)Helmut Klocker (20 shared papers)Weiwei Wang (10 shared papers)Jiandang Shi (27 shared papers)Yanhai Guo (12 shared papers)Georg Bartsch (5 shared papers)Xiaoling Du (20 shared papers)
- Journals
- The Prostate (11 papers)Langmuir (5 papers)Frontiers in Plant Science (4 papers)Virology Journal (4 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Ju Zhang
360 papers receiving 7.7k citations
Ju Zhang's Hit Papers
Peers
Comparison fields: 5 of 183
- Molecular Medicine 380
- Cancer Research 870
- Biomaterials 747
- Molecular Biology 2.6k
- Urology 202
Countries citing papers authored by Ju Zhang
This map shows the geographic impact of Ju 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 Ju Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Zhang more than expected).
Fields of papers citing papers by Ju Zhang
This network shows the impact of papers produced by Ju 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 Ju Zhang. The network helps show where Ju Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 374 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Endoplasmic Reticulum Stress Causes Liver Cancer Cells to Release Exosomal miR‐23a‐3p and Up‐regulate Programmed Death Ligand 1 Expression in Macrophages Hit paper breakdown → | 2019 | 375 |
| 2 | 1996 | 272 | |
| 3 | 2014 | 188 | |
| 4 | 2009 | 174 | |
| 5 | 2016 | 145 | |
| 6 | 2017 | 140 | |
| 7 | 2011 | 125 | |
| 8 | 2020 | 117 | |
| 9 | 2014 | 116 | |
| 10 | 2013 | 114 | |
| 11 | 1999 | 107 | |
| 12 | 2017 | 90 | |
| 13 | 2020 | 88 | |
| 14 | 2015 | 84 | |
| 15 | 2016 | 83 | |
| 16 | 1997 | 81 | |
| 17 | 2009 | 77 | |
| 18 | 2016 | 75 | |
| 19 | 1997 | 75 | |
| 20 | 2017 | 73 |
About Ju Zhang
Ju Zhang is a scholar working on Molecular Biology, Epidemiology, Plant Science, Cancer Research and Oncology, having authored 374 papers that have together received 7.9k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (13 papers), Prostate Cancer Treatment and Research (12 papers), Estrogen and related hormone effects (12 papers), RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (11 papers), Epigenetics and DNA Methylation (9 papers), Hepatitis B Virus Studies (9 papers) and Plant Molecular Biology Research (8 papers). The work is most often cited by research in Molecular Medicine (380 citations), Cancer Research (870 citations), Biomaterials (747 citations), Molecular Biology (2.6k citations) and Urology (202 citations). Ju Zhang has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Robert Pelton, Deling Kong, Helmut Klocker, Weiwei Wang, Jiandang Shi, Yanhai Guo, Georg Bartsch, Xiaoling Du, Yong-Nian Li and Zoran Čulig. Their work appears in journals such as The Prostate, Langmuir, Frontiers in Plant Science, Virology Journal and PLoS ONE.
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.