Yan Long
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
- Plant Science top 2%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Plant nutrient uptake and metabolism
- Plant Disease Resistance and Genetics
Papers in
-
- Photosynthetic Processes and Mechanisms 12
- Plant Reproductive Biology 8
- CRISPR and Genetic Engineering 8
- Plant Gene Expression Analysis 7
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- Plant Molecular Biology Research 17
- Plant nutrient uptake and metabolism 6
- Co-authors
- Maoteng Li (11 shared papers)Jinling Meng (5 shared papers)Xinwu Pei (14 shared papers)Jun Zou (4 shared papers)Xiangyuan Wan (12 shared papers)Hongbo Chao (5 shared papers)Lei Shi (2 shared papers)Longjiang Yu (5 shared papers)
- Journals
- Scientific Reports (6 papers)PLoS ONE (6 papers)International Journal of Molecular Sciences (4 papers)Frontiers in Plant Science (3 papers)Cells (3 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Yan Long
52 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 77
- Biochemistry 192
- Plant Science 932
- Molecular Biology 728
- Genetics 252
- Biochemistry 28
Countries citing papers authored by Yan Long
This map shows the geographic impact of Yan Long'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 Yan Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Long more than expected).
Fields of papers citing papers by Yan Long
This network shows the impact of papers produced by Yan Long. 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 Yan Long. The network helps show where Yan Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Long, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 104 | |
| 2 | 2021 | 92 | |
| 3 | 2011 | 76 | |
| 4 | 2016 | 67 | |
| 5 | 2016 | 55 | |
| 6 | 2010 | 52 | |
| 7 | 2020 | 51 | |
| 8 | 2014 | 48 | |
| 9 | 2015 | 48 | |
| 10 | 2023 | 45 | |
| 11 | 2015 | 41 | |
| 12 | 2013 | 33 | |
| 13 | 2015 | 31 | |
| 14 | 2018 | 26 | |
| 15 | 2022 | 26 | |
| 16 | 2019 | 24 | |
| 17 | 2019 | 23 | |
| 18 | 2015 | 23 | |
| 19 | 2017 | 22 | |
| 20 | 2009 | 22 |
About Yan Long
Yan Long is a scholar working on Molecular Biology, Plant Science, Genetics, Biochemistry and Biotechnology, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (17 papers), Lipid metabolism and biosynthesis (12 papers), Photosynthetic Processes and Mechanisms (12 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Plant Reproductive Biology (8 papers), CRISPR and Genetic Engineering (8 papers), Plant Gene Expression Analysis (7 papers) and Plant nutrient uptake and metabolism (6 papers). The work is most often cited by research in Biochemistry (192 citations), Plant Science (932 citations), Molecular Biology (728 citations), Genetics (252 citations) and Biochemistry (28 citations). Yan Long has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Maoteng Li, Jinling Meng, Xinwu Pei, Jun Zou, Xiangyuan Wan, Jinling Meng, Hongbo Chao, Lei Shi, Longjiang Yu and Jun Xiang. Their work appears in journals such as Scientific Reports, PLoS ONE, International Journal of Molecular Sciences, Frontiers in Plant Science and Cells.
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.