王德年
Impact in
- Biochemistry top 10%
- Sulfur Compounds in Biology
- Lipid metabolism and biosynthesis
-
- Neuropeptides and Animal Physiology
Papers in
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- Neuropeptides and Animal Physiology 7
- Co-authors
- Zixuan Zhan (4 shared papers)Yonggang Wei (8 shared papers)Weimin Li (7 shared papers)Yong-Cheng Dai (2 shared papers)Yi Lv (2 shared papers)Zhongxue Feng (6 shared papers)Wei Zhang (4 shared papers)Li Chai (2 shared papers)
- Journals
- Analytical Chemistry (2 papers)Biochemical and Biophysical Research Communications (2 papers)Scientific Reports (2 papers)Sensors and Actuators B Chemical (2 papers)Nature Communications (2 papers)
- Partner nations
- ChinaSaudi Arabia
In The Last Decade
王德年
32 papers receiving 425 citations
Peers
Comparison fields: 5 of 72
- Biochemistry 58
- Cellular and Molecular Neuroscience 73
- Cancer Research 43
- Biological Psychiatry 7
- Immunology 51
Countries citing papers authored by 王德年
This map shows the geographic impact of 王德年'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 王德年 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites 王德年 more than expected).
Fields of papers citing papers by 王德年
This network shows the impact of papers produced by 王德年. 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 王德年. The network helps show where 王德年 may publish in the future.
Co-authors
The 25 scholars most cited alongside 王德年, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 52 | |
| 2 | 2020 | 50 | |
| 3 | 2022 | 50 | |
| 4 | 2017 | 32 | |
| 5 | 2023 | 30 | |
| 6 | 2023 | 28 | |
| 7 | 2023 | 19 | |
| 8 | 2018 | 14 | |
| 9 | 2024 | 13 | |
| 10 | 2024 | 12 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2022 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2015 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2017 | 6 |
About 王德年
王德年 is a scholar working on Cellular and Molecular Neuroscience, Cancer Research, Molecular Biology, Developmental Neuroscience and Oncology, having authored 32 papers that have together received 427 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Angiogenesis and VEGF in Cancer (4 papers), Receptor Mechanisms and Signaling (3 papers), Lipid metabolism and biosynthesis (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Biochemistry (58 citations), Cellular and Molecular Neuroscience (73 citations), Cancer Research (43 citations), Biological Psychiatry (7 citations) and Immunology (51 citations) 王德年 has collaborated with scholars based in China and Saudi Arabia. Frequent co-authors include Zixuan Zhan, Yonggang Wei, Weimin Li, Yong-Cheng Dai, Yi Lv, Zhongxue Feng, Wei Zhang, Li Chai, Zeliang Wei and Fei Xiao. Their work appears in journals such as Analytical Chemistry, Biochemical and Biophysical Research Communications, Scientific Reports, Sensors and Actuators B Chemical and Nature Communications.
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.