Long Yan
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Genetic and Environmental Crop Studies
- Plant Stress Responses and Tolerance
- Agricultural pest management studies
-
- Plant Reproductive Biology
- Photosynthetic Processes and Mechanisms
- Genomics and Phylogenetic Studies
Papers in
-
- Pesticide Exposure and Toxicity 7
-
- Genomics and Phylogenetic Studies 6
- Identification and Quantification in Food 3
- Co-authors
- Tai Wang (2 shared papers)Sheng Xu (1 shared paper)Xiaobing Wu (3 shared papers)Peter K. Ades (1 shared paper)Xiuju Liu (1 shared paper)Shumin Wang (1 shared paper)Rebecca Ford (1 shared paper)Robert J. Redden (1 shared paper)
In The Last Decade
Long Yan
19 papers receiving 319 citations
Peers
Comparison fields: 5 of 53
- Plant Science 222
- Molecular Biology 145
- Biotechnology 14
- Genetics 40
- Immunology 25
Countries citing papers authored by Long Yan
This map shows the geographic impact of Long Yan'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 Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Yan more than expected).
Fields of papers citing papers by Long Yan
This network shows the impact of papers produced by Long Yan. 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 Yan. The network helps show where Long Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Yan, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 132 | |
| 2 | 2008 | 56 | |
| 3 | 2010 | 37 | |
| 4 | 2014 | 18 | |
| 5 | 2014 | 14 | |
| 6 | 2020 | 11 | |
| 7 | 2014 | 10 | |
| 8 | 2020 | 10 | |
| 9 | 2019 | 9 | |
| 10 | 2023 | 6 | |
| 11 | 2014 | 5 | |
| 12 | 2016 | 4 | |
| 13 | 2019 | 4 | |
| 14 | 2014 | 4 | |
| 15 | 2018 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 1 | |
| 19 | Studies on the Rice Repetitive DNA Sequence pRRD3 | 1998 | 1 |
| 20 | 2025 | 0 |
About Long Yan
Long Yan is a scholar working on Plant Science, Molecular Biology, Immunology, Health, Toxicology and Mutagenesis and Biotechnology, having authored 21 papers that have together received 329 indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (7 papers), Genomics and Phylogenetic Studies (6 papers), Transgenic Plants and Applications (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Identification and Quantification in Food (3 papers), Insect and Pesticide Research (2 papers) and Amphibian and Reptile Biology (2 papers). The work is most often cited by research in Plant Science (222 citations), Molecular Biology (145 citations), Biotechnology (14 citations), Genetics (40 citations) and Immunology (25 citations). Long Yan has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Tai Wang, Sheng Xu, Xiaobing Wu, Peter K. Ades, Xiuju Liu, Shumin Wang, Rebecca Ford, Robert J. Redden, Peng Yan and Qingchang Liu. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Journal of Chromatography A, Journal of Proteome Research, Genome biology and Toxins.
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.