Jun Sun
Impact in
- Parasitology top 2%
- Parasites and Host Interactions
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Parasitology 17
- Parasites and Host Interactions 17
-
- RNA Interference and Gene Delivery 2
- Co-authors
- Yin Tong (1 shared paper)Kai Wang (1 shared paper)Hongmei Zhang (1 shared paper)Tao Hu (1 shared paper)An‐Yuan Guo (1 shared paper)Jing Gong (1 shared paper)Ge Shan (1 shared paper)Shu-Hua Xiao (4 shared papers)
- Journals
- Parasitology Research (7 papers)Parasites & Vectors (5 papers)PLoS ONE (4 papers)Biologia Plantarum (3 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Jun Sun
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Parasitology 305
- Cancer Research 313
- Molecular Biology 470
- Small Animals 49
- Ecology 171
Countries citing papers authored by Jun Sun
This map shows the geographic impact of Jun Sun'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 Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sun more than expected).
Fields of papers citing papers by Jun Sun
This network shows the impact of papers produced by Jun Sun. 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 Sun. The network helps show where Jun Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Sun, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 310 | |
| 2 | 2008 | 102 | |
| 3 | 2013 | 73 | |
| 4 | 2014 | 69 | |
| 5 | 2015 | 69 | |
| 6 | 2010 | 65 | |
| 7 | 2014 | 53 | |
| 8 | 1990 | 51 | |
| 9 | 2018 | 47 | |
| 10 | 2010 | 41 | |
| 11 | 2015 | 36 | |
| 12 | 2009 | 31 | |
| 13 | 2016 | 28 | |
| 14 | 2014 | 25 | |
| 15 | 2019 | 21 | |
| 16 | 2013 | 18 | |
| 17 | 2021 | 18 | |
| 18 | 2010 | 17 | |
| 19 | 2013 | 16 | |
| 20 | 2023 | 15 |
About Jun Sun
Jun Sun is a scholar working on Parasitology, Molecular Biology, Ecology, Epidemiology and Plant Science, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parasites and Host Interactions (17 papers), Parasite Biology and Host Interactions (7 papers), Malaria Research and Control (4 papers), MicroRNA in disease regulation (4 papers), Flame retardant materials and properties (3 papers), Plant Molecular Biology Research (3 papers), Animal Virus Infections Studies (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Parasitology (305 citations), Cancer Research (313 citations), Molecular Biology (470 citations), Small Animals (49 citations) and Ecology (171 citations). Jun Sun has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yin Tong, Kai Wang, Hongmei Zhang, Tao Hu, An‐Yuan Guo, Jing Gong, Ge Shan, Shu-Hua Xiao, Chen Li and Weiqing Pan. Their work appears in journals such as Parasitology Research, Parasites & Vectors, PLoS ONE, Biologia Plantarum and Scientific Reports.
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.