Jia Fan
- Insect Science top 1%
- Plant Science top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Hepatology top 5%
- Co-authors
- Julian ChenChristopher D. RockFrédéric FrancisAmandeep MittalYong ZhangJingrui SunShuang–Jian QiuZhao–You Tang
- Topics
- Insect-Plant Interactions and Control (29 papers)Hepatocellular Carcinoma Treatment and Prognosis (12 papers)Neurobiology and Insect Physiology Research (11 papers)
- Partner nations
- ChinaBelgiumUnited States
In The Last Decade
Jia Fan
70 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Insect Science 515
- Plant Science 481
- Molecular Biology 461
- Cellular and Molecular Neuroscience 165
- Hepatology 142
Countries citing papers authored by Jia Fan
This map shows the geographic impact of Jia Fan'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 Jia Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Fan more than expected).
Fields of papers citing papers by Jia Fan
This network shows the impact of papers produced by Jia Fan. 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 Jia Fan. The network helps show where Jia Fan may publish in the future.
Co-authorship network of co-authors of Jia Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Jia Fan. A scholar is included among the top collaborators of Jia Fan 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 Jia Fan. Jia Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 29 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 37 | |
| 13 | 54 | |
| 14 | 21 | |
| 15 | 39 | |
| 16 | 28 | |
| 17 | Effects of Plant Defense Signal Molecules Jasmonic Acid and Salicylic Acid on the Expression of Detoxification Enzyme Glutathione S-transferases and Salivary Protein C002 in Myzus persicae | 1 |
| 18 | Behavioral responses of Sitobion avenae (Hemiptera: Aphididae) to E-β-farnesene. | 1 |
| 19 | 8 | |
| 20 | Cloning and Functional Confirmation of XFsacA Gene from Bacillus subtilis XF1 | 1 |
About Jia Fan
Jia Fan is a scholar working on Insect Science, Hepatology and Cellular and Molecular Neuroscience, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (29 papers), Hepatocellular Carcinoma Treatment and Prognosis (12 papers) and Neurobiology and Insect Physiology Research (11 papers). The work is most often cited by research in Insect Science (515 citations), Hepatology (142 citations) and Plant Science (481 citations). Jia Fan has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Julian Chen, Christopher D. Rock, Frédéric Francis, Amandeep Mittal, Yong Zhang, Jingrui Sun, Shuang–Jian Qiu, Zhao–You Tang, Yong Zhang and Yu Yao. Their work appears in journals such as Journal of Biological Chemistry, Blood 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.