Yajun Shi
- Molecular Biology
- Oceanography top 2%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 10%
- Ecology top 5%
- Co-authors
- Dongyan LiuJohn K. KeesingYujue WangJunbo ZouPeimin HeZongling WangDongyan GuoZhijun Dong
- Topics
- Traditional Chinese Medicine Analysis (14 papers)Pharmacological Effects of Natural Compounds (13 papers)Hydrocarbon exploration and reservoir analysis (11 papers)
- Journals
- Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yajun Shi
144 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Molecular Biology 651
- Oceanography 618
- Pulmonary and Respiratory Medicine 479
- Oncology 394
- Ecology 288
Countries citing papers authored by Yajun Shi
This map shows the geographic impact of Yajun Shi'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 Yajun Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yajun Shi more than expected).
Fields of papers citing papers by Yajun Shi
This network shows the impact of papers produced by Yajun Shi. 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 Yajun Shi. The network helps show where Yajun Shi may publish in the future.
Co-authorship network of co-authors of Yajun Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Yajun Shi. A scholar is included among the top collaborators of Yajun Shi 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 Yajun Shi. Yajun Shi 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 5 | |
| 10 | 17 | |
| 11 | 11 | |
| 12 | 27 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 50 | |
| 17 | Ultrasound-Assisted Extraction of Total Saponins from Aralia taibaiensis: Process Optimization, Phytochemical Characterization, and Mechanism of α-Glucosidase Inhibition | 17 |
| 18 | 7 | |
| 19 | 14 | |
| 20 | 18 |
About Yajun Shi
Yajun Shi is a scholar working on Complementary and alternative medicine, Pharmacology and Geology, having authored 157 papers that have together received 2.9k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (14 papers), Pharmacological Effects of Natural Compounds (13 papers) and Hydrocarbon exploration and reservoir analysis (11 papers). The work is most often cited by research in Oceanography (618 citations), Complementary and alternative medicine (201 citations) and Pulmonary and Respiratory Medicine (479 citations). Yajun Shi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dongyan Liu, John K. Keesing, Yujue Wang, Junbo Zou, Peimin He, Zongling Wang, Dongyan Guo, Zhijun Dong, Jiangxue Cheng and Bingtao Zhai. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.