Ye Shang
Impact in
-
- Traditional Chinese Medicine Analysis
- Traditional Chinese Medicine Studies
Papers in
-
- Traditional Chinese Medicine Analysis 13
- Co-authors
- Yanxu Chang (21 shared papers)Jin Li (17 shared papers)Hongchao Li (6 shared papers)Mingjun Rui (6 shared papers)Kunze Du (15 shared papers)Jun He (9 shared papers)Xiumei Gao (2 shared papers)Yingcheng Wang (5 shared papers)
- Journals
- Journal of Pharmaceutical and Biomedical Analysis (5 papers)Frontiers in Pharmacology (4 papers)Phytomedicine (3 papers)Journal of Chromatography A (3 papers)Frontiers in Medicine (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Ye Shang
43 papers receiving 351 citations
Peers
Comparison fields: 5 of 85
- Complementary and alternative medicine 68
- Pharmacology 25
- Obstetrics and Gynecology 22
- Molecular Biology 147
- Immunology 45
Countries citing papers authored by Ye Shang
This map shows the geographic impact of Ye Shang'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 Ye Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Shang more than expected).
Fields of papers citing papers by Ye Shang
This network shows the impact of papers produced by Ye Shang. 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 Ye Shang. The network helps show where Ye Shang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Shang, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 37 | |
| 2 | 2021 | 32 | |
| 3 | 2021 | 25 | |
| 4 | 2020 | 17 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 15 | |
| 7 | 2025 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2023 | 13 | |
| 11 | 2021 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2022 | 7 | |
| 20 | 2020 | 7 |
About Ye Shang
Ye Shang is a scholar working on Complementary and alternative medicine, Molecular Biology, Pharmacology, Spectroscopy and Analytical Chemistry, having authored 46 papers that have together received 358 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (13 papers), Analytical Chemistry and Chromatography (7 papers), Phytochemistry and Biological Activities (4 papers), Plant-based Medicinal Research (4 papers), Advanced Chemical Sensor Technologies (4 papers), Chromatography in Natural Products (4 papers), Pregnancy and preeclampsia studies (4 papers) and Reproductive System and Pregnancy (4 papers). The work is most often cited by research in Complementary and alternative medicine (68 citations), Pharmacology (25 citations), Obstetrics and Gynecology (22 citations), Molecular Biology (147 citations) and Immunology (45 citations). Ye Shang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yanxu Chang, Jin Li, Hongchao Li, Mingjun Rui, Kunze Du, Jun He, Xiumei Gao, Yingcheng Wang, Xiaohua Yang and Rui Meng. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Frontiers in Pharmacology, Phytomedicine, Journal of Chromatography A and Frontiers in Medicine.
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.