Lin‐Jiang Ye
Impact in
- Endocrinology top 10%
-
- Plant and animal studies
- Plant Diversity and Evolution
Papers in
-
- Plant and Fungal Species Descriptions 5
- Genomics and Phylogenetic Studies 5
- Genetics 8
- Genetic diversity and population structure 8
- Co-authors
- Lian‐Ming Gao (16 shared papers)Li D (13 shared papers)Jie Liu (15 shared papers)Ya‐Huang Luo (11 shared papers)Jia‐Yun Zou (10 shared papers)Chao‐Nan Fu (3 shared papers)Zhi‐Qiong Mo (4 shared papers)Jun‐Bo Yang (2 shared papers)
- Journals
- Applications in Plant Sciences (3 papers)Plant Diversity (3 papers)Molecular Ecology Resources (2 papers)New Phytologist (2 papers)BMC Plant Biology (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lin‐Jiang Ye
20 papers receiving 408 citations
Peers
Comparison fields: 5 of 44
- Endocrinology 32
- Ecology, Evolution, Behavior and Systematics 125
- Nature and Landscape Conservation 74
- Ecological Modeling 16
- Plant Science 120
Countries citing papers authored by Lin‐Jiang Ye
This map shows the geographic impact of Lin‐Jiang Ye'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 Lin‐Jiang Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin‐Jiang Ye more than expected).
Fields of papers citing papers by Lin‐Jiang Ye
This network shows the impact of papers produced by Lin‐Jiang Ye. 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 Lin‐Jiang Ye. The network helps show where Lin‐Jiang Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin‐Jiang Ye, 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 | 2019 | 72 | |
| 2 | 2021 | 65 | |
| 3 | 2022 | 63 | |
| 4 | 2018 | 53 | |
| 5 | 2021 | 25 | |
| 6 | 2021 | 24 | |
| 7 | 2020 | 23 | |
| 8 | 2023 | 12 | |
| 9 | 2020 | 9 | |
| 10 | 2024 | 9 | |
| 11 | 2024 | 9 | |
| 12 | 2024 | 9 | |
| 13 | 2018 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2013 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2014 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2016 | 3 |
About Lin‐Jiang Ye
Lin‐Jiang Ye is a scholar working on Molecular Biology, Genetics, Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Plant Science, having authored 21 papers that have together received 414 indexed citations. Recurring topics across this work include Genetic diversity and population structure (8 papers), Ecology and Vegetation Dynamics Studies (6 papers), Plant and animal studies (5 papers), Plant and Fungal Species Descriptions (5 papers), Genomics and Phylogenetic Studies (5 papers), Plant and Fungal Interactions Research (4 papers), Nuts composition and effects (4 papers) and Mycorrhizal Fungi and Plant Interactions (3 papers). The work is most often cited by research in Endocrinology (32 citations), Ecology, Evolution, Behavior and Systematics (125 citations), Nature and Landscape Conservation (74 citations), Ecological Modeling (16 citations) and Plant Science (120 citations). Lin‐Jiang Ye has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lian‐Ming Gao, Li D, Jie Liu, Ya‐Huang Luo, Jia‐Yun Zou, Chao‐Nan Fu, Zhi‐Qiong Mo, Jun‐Bo Yang, Michael Möller and Chung‐Shien Wu. Their work appears in journals such as Applications in Plant Sciences, Plant Diversity, Molecular Ecology Resources, New Phytologist and BMC Plant Biology.
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.