Jun Zhu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals
- Forensic and Genetic Research
Papers in
-
- RNA modifications and cancer 14
- Genetics 34
- Genetic Mapping and Diversity in Plants and Animals 11
- Forensic and Genetic Research 7
- Co-authors
- Guangmei Zhang (1 shared paper)Shu‐Sheng Liu (1 shared paper)Bin Zhang (1 shared paper)Eric E. Schadt (1 shared paper)Joshua Millstein (1 shared paper)Mebrouk Benmoussa (3 shared papers)Ping Wu (1 shared paper)Jipeng Li (11 shared papers)
- Journals
- Frontiers in Oncology (6 papers)Andrologia (4 papers)Frontiers in Genetics (4 papers)Scientific Reports (3 papers)Forensic Science International (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Jun Zhu
171 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 147
- Cancer Research 340
- Genetics 460
- Molecular Biology 783
- Insect Science 130
- Plant Science 274
Countries citing papers authored by Jun Zhu
This map shows the geographic impact of Jun Zhu'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 Jun Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Zhu more than expected).
Fields of papers citing papers by Jun Zhu
This network shows the impact of papers produced by Jun Zhu. 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 Jun Zhu. The network helps show where Jun Zhu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Zhu, 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 183 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 148 | |
| 2 | 1995 | 139 | |
| 3 | 2020 | 117 | |
| 4 | 2021 | 84 | |
| 5 | 1999 | 82 | |
| 6 | [Dynamic monitoring of neural tube defects in China during 1996 to 2000]. | 2002 | 33 |
| 7 | 2021 | 33 | |
| 8 | 2019 | 31 | |
| 9 | 2019 | 31 | |
| 10 | 2018 | 31 | |
| 11 | 2005 | 29 | |
| 12 | 2016 | 28 | |
| 13 | 2018 | 28 | |
| 14 | 2011 | 27 | |
| 15 | 2005 | 25 | |
| 16 | 2005 | 25 | |
| 17 | 2005 | 25 | |
| 18 | 2014 | 24 | |
| 19 | 2014 | 24 | |
| 20 | 2018 | 22 |
About Jun Zhu
Jun Zhu is a scholar working on Molecular Biology, Genetics, Cancer Research, Pulmonary and Respiratory Medicine and Plant Science, having authored 183 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (17 papers), RNA modifications and cancer (14 papers), Ferroptosis and cancer prognosis (13 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), MicroRNA in disease regulation (9 papers), Acute Myocardial Infarction Research (9 papers), Rice Cultivation and Yield Improvement (8 papers) and Forensic and Genetic Research (7 papers). The work is most often cited by research in Cancer Research (340 citations), Genetics (460 citations), Molecular Biology (783 citations), Insect Science (130 citations) and Plant Science (274 citations). Jun Zhu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Guangmei Zhang, Shu‐Sheng Liu, Bin Zhang, Eric E. Schadt, Joshua Millstein, Mebrouk Benmoussa, Ping Wu, Jipeng Li, Lei Miao and Yuxuan Song. Their work appears in journals such as Frontiers in Oncology, Andrologia, Frontiers in Genetics, Scientific Reports and Forensic Science International.
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.