Junjiang Fu
Impact in
- Toxicology top 0.5%
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Ubiquitin and proteasome pathways 12
- Epigenetics and DNA Methylation 12
- Retinal Development and Disorders 12
- Genetics 48
- Genetic diversity and population structure 21
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 11
- Co-authors
- Md. Asaduzzaman Khan (51 shared papers)Mousumi Tania (15 shared papers)Chunli Wei (61 shared papers)Jingliang Cheng (67 shared papers)Saber İmani (21 shared papers)Jianming Xu (7 shared papers)Hanchun Chen (26 shared papers)Shangyi Fu (19 shared papers)
- Journals
- Molecular Biology Reports (11 papers)Oncotarget (7 papers)Journal of Cellular and Molecular Medicine (7 papers)International Journal of Biological Sciences (5 papers)Molecules (5 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Junjiang Fu
178 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 134
- Toxicology 241
- Cancer Research 945
- Complementary and alternative medicine 519
- Molecular Biology 2.7k
- Oncology 968
Countries citing papers authored by Junjiang Fu
This map shows the geographic impact of Junjiang Fu'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 Junjiang Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjiang Fu more than expected).
Fields of papers citing papers by Junjiang Fu
This network shows the impact of papers produced by Junjiang Fu. 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 Junjiang Fu. The network helps show where Junjiang Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjiang Fu, 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 191 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 235 | |
| 2 | 2014 | 224 | |
| 3 | 2011 | 203 | |
| 4 | 2017 | 197 | |
| 5 | 2013 | 186 | |
| 6 | 2013 | 160 | |
| 7 | 2020 | 145 | |
| 8 | 2011 | 135 | |
| 9 | 2013 | 131 | |
| 10 | 2015 | 123 | |
| 11 | 2017 | 102 | |
| 12 | 2014 | 91 | |
| 13 | 2016 | 90 | |
| 14 | 2013 | 87 | |
| 15 | 2019 | 87 | |
| 16 | 2018 | 82 | |
| 17 | 2005 | 76 | |
| 18 | 2016 | 68 | |
| 19 | 2019 | 65 | |
| 20 | 2007 | 65 |
About Junjiang Fu
Junjiang Fu is a scholar working on Molecular Biology, Genetics, Oncology, Complementary and alternative medicine and Cancer Research, having authored 191 papers that have together received 5.0k indexed citations. Recurring topics across this work include Genetic diversity and population structure (21 papers), Nigella sativa pharmacological applications (18 papers), Ubiquitin and proteasome pathways (12 papers), Epigenetics and DNA Methylation (12 papers), Bioactive Compounds and Antitumor Agents (12 papers), Retinal Development and Disorders (12 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers) and MicroRNA in disease regulation (10 papers). The work is most often cited by research in Toxicology (241 citations), Cancer Research (945 citations), Complementary and alternative medicine (519 citations), Molecular Biology (2.7k citations) and Oncology (968 citations). Junjiang Fu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Md. Asaduzzaman Khan, Mousumi Tania, Chunli Wei, Jingliang Cheng, Saber İmani, Jianming Xu, Hanchun Chen, Shangyi Fu, Tao He and Zhiqiang Mei. Their work appears in journals such as Molecular Biology Reports, Oncotarget, Journal of Cellular and Molecular Medicine, International Journal of Biological Sciences and Molecules.
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.