Ying Lan
Impact in
- Aquatic Science top 10%
- Seaweed-derived Bioactive Compounds
-
- Plant Molecular Biology Research
- Plant responses to water stress
- Rice Cultivation and Yield Improvement
- Plant Stress Responses and Tolerance
Papers in
-
- Fibroblast Growth Factor Research 3
- Glycosylation and Glycoproteins Research 2
- Ubiquitin and proteasome pathways 1
- Plant Gene Expression Analysis 1
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- Proteoglycans and glycosaminoglycans research 4
- Co-authors
- Yanli He (5 shared papers)Lijuan Zhang (2 shared papers)Shouyun Cao (1 shared paper)Changxi Yin (1 shared paper)Xiu‐Jie Wang (1 shared paper)Xiaoqiang Liu (1 shared paper)Chengcai Chu (1 shared paper)Anding Luo (1 shared paper)
In The Last Decade
Ying Lan
16 papers receiving 358 citations
Peers
Comparison fields: 5 of 73
- Aquatic Science 49
- Plant Science 138
- Molecular Biology 152
- Nutrition and Dietetics 31
- Horticulture 2
Countries citing papers authored by Ying Lan
This map shows the geographic impact of Ying Lan'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 Ying Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Lan more than expected).
Fields of papers citing papers by Ying Lan
This network shows the impact of papers produced by Ying Lan. 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 Ying Lan. The network helps show where Ying Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Lan, 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 | 2005 | 138 | |
| 2 | 2017 | 53 | |
| 3 | Serum glycoprotein-derived N- and O-linked glycans as cancer biomarkers. | 2016 | 44 |
| 4 | 2015 | 33 | |
| 5 | 2016 | 22 | |
| 6 | 2019 | 17 | |
| 7 | 2017 | 14 | |
| 8 | 2015 | 14 | |
| 9 | 2020 | 8 | |
| 10 | 2025 | 5 | |
| 11 | 2017 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2020 | 2 | |
| 14 | Voluntary Service: The Important Carrier of Ideological and Political Education of College Students | 2015 | 1 |
| 15 | 2015 | 1 | |
| 16 | 2017 | 1 |
About Ying Lan
Ying Lan is a scholar working on Molecular Biology, Cell Biology, Aquatic Science, Genetics and Biochemistry, having authored 16 papers that have together received 360 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (4 papers), Fibroblast Growth Factor Research (3 papers), Seaweed-derived Bioactive Compounds (3 papers), Glycosylation and Glycoproteins Research (2 papers), Ubiquitin and proteasome pathways (1 paper), Galectins and Cancer Biology (1 paper), Plant Gene Expression Analysis (1 paper) and Biochemical Acid Research Studies (1 paper). The work is most often cited by research in Aquatic Science (49 citations), Plant Science (138 citations), Molecular Biology (152 citations), Nutrition and Dietetics (31 citations) and Horticulture (2 citations). Ying Lan has collaborated with scholars based in China, Sweden and Japan. Frequent co-authors include Yanli He, Lijuan Zhang, Shouyun Cao, Changxi Yin, Xiu‐Jie Wang, Xiaoqiang Liu, Chengcai Chu, Anding Luo, Kai Xia and Da Luo. Their work appears in journals such as International Journal of Biological Macromolecules, Environmental Pollution, Journal of Agricultural and Food Chemistry, Chinese Journal of Cancer and Cellular Physiology and Biochemistry.
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.