Yi Gan
Impact in
-
- Plant Diversity and Evolution
Papers in
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- Plant Gene Expression Analysis 3
- Plant biochemistry and biosynthesis 3
-
- Plant Molecular Biology Research 3
- Co-authors
- Yu Song (3 shared papers)Yun‐Hong Tan (3 shared papers)Richard T. Corlett (2 shared papers)Xin Yao (2 shared papers)Junhui Wu (4 shared papers)Chao Ke (1 shared paper)Xiaofeng Zhu (1 shared paper)Xiaorong Li (2 shared papers)
- Journals
- BMC Plant Biology (3 papers)Plants (2 papers)Frontiers in Oncology (2 papers)Journal of Integrative Plant Biology (1 paper)Agronomy (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Yi Gan
39 papers receiving 380 citations
Peers
Comparison fields: 5 of 96
- Ecology, Evolution, Behavior and Systematics 65
- Horticulture 3
- Biochemistry 20
- Computer Vision and Pattern Recognition 51
- Industrial and Manufacturing Engineering 20
Countries citing papers authored by Yi Gan
This map shows the geographic impact of Yi Gan'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 Yi Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Gan more than expected).
Fields of papers citing papers by Yi Gan
This network shows the impact of papers produced by Yi Gan. 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 Yi Gan. The network helps show where Yi Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Gan, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 49 | |
| 2 | 2021 | 44 | |
| 3 | 2020 | 36 | |
| 4 | 2017 | 33 | |
| 5 | 2012 | 24 | |
| 6 | 2014 | 21 | |
| 7 | 2014 | 17 | |
| 8 | 2018 | 15 | |
| 9 | 2020 | 14 | |
| 10 | 2024 | 12 | |
| 11 | 2020 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2012 | 6 | |
| 20 | 2018 | 5 |
About Yi Gan
Yi Gan is a scholar working on Molecular Biology, Plant Science, Surgery, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 388 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (3 papers), Infection Control and Ventilation (3 papers), Lipid metabolism and biosynthesis (3 papers), Plant Gene Expression Analysis (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Advanced Neural Network Applications (3 papers), Plant biochemistry and biosynthesis (3 papers) and Plant Diversity and Evolution (3 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (65 citations), Horticulture (3 citations), Biochemistry (20 citations), Computer Vision and Pattern Recognition (51 citations) and Industrial and Manufacturing Engineering (20 citations). Yi Gan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yu Song, Yun‐Hong Tan, Richard T. Corlett, Xin Yao, Junhui Wu, Chao Ke, Xiaofeng Zhu, Xiaorong Li, Junbo Yang and Hongjie Hu. Their work appears in journals such as BMC Plant Biology, Plants, Frontiers in Oncology, Journal of Integrative Plant Biology and Agronomy.
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.