Xiaoli Geng
Impact in
- Plant Science top 5%
- Research in Cotton Cultivation
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Wheat and Barley Genetics and Pathology
- Plant responses to elevated CO2
- Plant Virus Research Studies
- Agronomy and Crop Science top 10%
Papers in
-
- Research in Cotton Cultivation 23
- Plant Virus Research Studies 9
- Plant Stress Responses and Tolerance 6
- Plant Molecular Biology Research 6
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- Plant Gene Expression Analysis 3
- Co-authors
- Shoupu He (25 shared papers)Yingyin Yao (8 shared papers)Zhaoe Pan (20 shared papers)Zhongfu Ni (8 shared papers)Qixin Sun (7 shared papers)Huiru Peng (7 shared papers)Xiongming Du (24 shared papers)Fei Wang (5 shared papers)
In The Last Decade
Xiaoli Geng
41 papers receiving 791 citations
Peers
Comparison fields: 5 of 59
- Plant Science 626
- Agronomy and Crop Science 55
- Endocrinology 26
- Pharmacology 76
- Molecular Biology 260
Countries citing papers authored by Xiaoli Geng
This map shows the geographic impact of Xiaoli Geng'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 Xiaoli Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Geng more than expected).
Fields of papers citing papers by Xiaoli Geng
This network shows the impact of papers produced by Xiaoli Geng. 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 Xiaoli Geng. The network helps show where Xiaoli Geng may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Geng, 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 | 2017 | 106 | |
| 2 | 2014 | 75 | |
| 3 | 2018 | 44 | |
| 4 | 2015 | 44 | |
| 5 | 2017 | 43 | |
| 6 | 2018 | 41 | |
| 7 | 2018 | 40 | |
| 8 | 2022 | 36 | |
| 9 | 2019 | 35 | |
| 10 | 2021 | 35 | |
| 11 | 2011 | 32 | |
| 12 | 2017 | 27 | |
| 13 | 2022 | 26 | |
| 14 | 2021 | 21 | |
| 15 | 2020 | 20 | |
| 16 | 2011 | 18 | |
| 17 | 2022 | 16 | |
| 18 | 2019 | 16 | |
| 19 | 2021 | 14 | |
| 20 | 2022 | 12 |
About Xiaoli Geng
Xiaoli Geng is a scholar working on Plant Science, Molecular Biology, Pharmacology, Endocrinology and Agronomy and Crop Science, having authored 43 papers that have together received 800 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (23 papers), Plant Virus Research Studies (9 papers), Plant Stress Responses and Tolerance (6 papers), Plant Molecular Biology Research (6 papers), Plant and Fungal Interactions Research (3 papers), Plant Gene Expression Analysis (3 papers), Fungal Biology and Applications (3 papers) and Crop Yield and Soil Fertility (2 papers). The work is most often cited by research in Plant Science (626 citations), Agronomy and Crop Science (55 citations), Endocrinology (26 citations), Pharmacology (76 citations) and Molecular Biology (260 citations). Xiaoli Geng has collaborated with scholars based in China, Denmark and Nigeria. Frequent co-authors include Shoupu He, Yingyin Yao, Zhaoe Pan, Zhongfu Ni, Qixin Sun, Huiru Peng, Xiongming Du, Fei Wang, Yinhua Jia and Mingming Xin. Their work appears in journals such as BMC Plant Biology, Frontiers in Plant Science, BMC Genomics, Plant Science and Frontiers in Genetics.
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.