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
Papers in
-
- Photosynthetic Processes and Mechanisms 12
- Plant Reproductive Biology 8
- CRISPR and Genetic Engineering 8
- Plant Gene Expression Analysis 6
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- Plant Molecular Biology Research 14
- Plant Stress Responses and Tolerance 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)Lei Shi (2 shared papers)Xun Wei (10 shared papers)Hongbo Chao (5 shared papers)
In The Last Decade
Yan Long
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 78
- Biochemistry 189
- Plant Science 961
- Molecular Biology 742
- Genetics 259
- Biochemistry 31
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 | 121 | |
| 2 | 2021 | 97 | |
| 3 | 2011 | 86 | |
| 4 | 2016 | 71 | |
| 5 | 2010 | 62 | |
| 6 | 2016 | 59 | |
| 7 | 2023 | 56 | |
| 8 | 2020 | 55 | |
| 9 | 2015 | 52 | |
| 10 | 2014 | 52 | |
| 11 | 2015 | 42 | |
| 12 | 2013 | 33 | |
| 13 | 2015 | 31 | |
| 14 | 2022 | 29 | |
| 15 | 2018 | 29 | |
| 16 | 2015 | 28 | |
| 17 | 2009 | 27 | |
| 18 | 2019 | 26 | |
| 19 | 2018 | 24 | |
| 20 | 2019 | 24 |
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 1.4k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (14 papers), Photosynthetic Processes and Mechanisms (12 papers), Lipid metabolism and biosynthesis (9 papers), Plant Reproductive Biology (8 papers), CRISPR and Genetic Engineering (8 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Plant Gene Expression Analysis (6 papers) and Plant Stress Responses and Tolerance (6 papers). The work is most often cited by research in Biochemistry (189 citations), Plant Science (961 citations), Molecular Biology (742 citations), Genetics (259 citations) and Biochemistry (31 citations). Yan Long has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Maoteng Li, Jinling Meng, Xinwu Pei, Jun Zou, Xiangyuan Wan, Jinling Meng, Lei Shi, Xun Wei, Hongbo Chao and Graham J.W. King. Their work appears in journals such as Scientific Reports, PLoS ONE, International Journal of Molecular Sciences, BMC Plant Biology 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.