Long Yu
Impact in
- Pharmacology top 10%
- Alkaloids: synthesis and pharmacology
-
- Air Quality Monitoring and Forecasting
Papers in
-
- Natural product bioactivities and synthesis 2
- Ubiquitin and proteasome pathways 1
- Bioactive Natural Diterpenoids Research 1
- Surgery 5
- Coronary Interventions and Diagnostics 4
- Co-authors
- Lei Zhu (2 shared papers)Jiang‐Miao Hu (3 shared papers)Xia Mao (3 shared papers)Xiaodong Shi (1 shared paper)Junyou Shi (1 shared paper)Jiangang Chen (1 shared paper)Shen Qu (2 shared papers)Chenyang Shuai (2 shared papers)
- Journals
- Computer Methods and Programs in Biomedicine (2 papers)Clinical Cancer Research (1 paper)British Journal of Radiology (1 paper)Journal of Asian Natural Products Research (1 paper)International Journal for Numerical Methods in Biomedical Engineering (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Long Yu
19 papers receiving 428 citations
Peers
Comparison fields: 5 of 95
- Pharmacology 48
- Environmental Engineering 46
- Health, Toxicology and Mutagenesis 35
- Molecular Biology 174
- Orthopedics and Sports Medicine 19
Countries citing papers authored by Long Yu
This map shows the geographic impact of Long Yu'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 Long Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Yu more than expected).
Fields of papers citing papers by Long Yu
This network shows the impact of papers produced by Long Yu. 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 Long Yu. The network helps show where Long Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 97 | |
| 2 | 2021 | 50 | |
| 3 | 2014 | 47 | |
| 4 | 2000 | 44 | |
| 5 | 2012 | 44 | |
| 6 | 2008 | 44 | |
| 7 | 2021 | 23 | |
| 8 | 2012 | 18 | |
| 9 | 2015 | 18 | |
| 10 | 2020 | 14 | |
| 11 | 2011 | 10 | |
| 12 | 2020 | 7 | |
| 13 | 2012 | 5 | |
| 14 | 2022 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2020 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2014 | 1 | |
| 19 | 2012 | 1 |
About Long Yu
Long Yu is a scholar working on Molecular Biology, Surgery, Organic Chemistry, Cardiology and Cardiovascular Medicine and Pharmacology, having authored 19 papers that have together received 433 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (4 papers), Phytochemistry and Biological Activities (2 papers), Natural product bioactivities and synthesis (2 papers), Alkaloids: synthesis and pharmacology (2 papers), Traditional and Medicinal Uses of Annonaceae (1 paper), Ubiquitin and proteasome pathways (1 paper), Bioactive Natural Diterpenoids Research (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Pharmacology (48 citations), Environmental Engineering (46 citations), Health, Toxicology and Mutagenesis (35 citations), Molecular Biology (174 citations) and Orthopedics and Sports Medicine (19 citations). Long Yu has collaborated with scholars based in China and United States. Frequent co-authors include Lei Zhu, Jiang‐Miao Hu, Xia Mao, Xiaodong Shi, Junyou Shi, Jiangang Chen, Shen Qu, Chenyang Shuai, Bu Zhao and Ming Xu. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Clinical Cancer Research, British Journal of Radiology, Journal of Asian Natural Products Research and International Journal for Numerical Methods in Biomedical Engineering.
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.