Wei‐Ning Bai
Impact in
- Endocrinology top 5%
- Plant and Fungal Interactions Research
-
- Plant and animal studies
- Plant Diversity and Evolution
Papers in
-
- Plant and animal studies 11
- Plant Diversity and Evolution 4
- Plant Taxonomy and Phylogenetics 4
- Genetics 18
- Genetic diversity and population structure 17
- Co-authors
- Da‐Yong Zhang (25 shared papers)Wan‐Jin Liao (2 shared papers)Wenting Wang (4 shared papers)Yanfei Zeng (5 shared papers)Kui Lin (5 shared papers)Keith Woeste (2 shared papers)Susanne S. Renner (6 shared papers)Lei Bao (4 shared papers)
- Journals
- New Phytologist (5 papers)Molecular Biology and Evolution (4 papers)Annals of Botany (3 papers)Nature Communications (2 papers)Genome biology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wei‐Ning Bai
38 papers receiving 986 citations
Peers
Comparison fields: 5 of 59
- Endocrinology 162
- Ecology, Evolution, Behavior and Systematics 381
- Ecological Modeling 76
- Genetics 463
- Nutrition and Dietetics 166
Countries citing papers authored by Wei‐Ning Bai
This map shows the geographic impact of Wei‐Ning Bai'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 Wei‐Ning Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Ning Bai more than expected).
Fields of papers citing papers by Wei‐Ning Bai
This network shows the impact of papers produced by Wei‐Ning Bai. 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 Wei‐Ning Bai. The network helps show where Wei‐Ning Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Ning Bai, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 174 | |
| 2 | 2015 | 92 | |
| 3 | 2019 | 82 | |
| 4 | 2017 | 69 | |
| 5 | 2014 | 67 | |
| 6 | 2014 | 51 | |
| 7 | 2007 | 50 | |
| 8 | 2017 | 37 | |
| 9 | 2021 | 34 | |
| 10 | 2006 | 34 | |
| 11 | 2023 | 33 | |
| 12 | 2021 | 29 | |
| 13 | 2016 | 29 | |
| 14 | 2015 | 28 | |
| 15 | 2015 | 26 | |
| 16 | 2022 | 24 | |
| 17 | 2023 | 19 | |
| 18 | 2012 | 17 | |
| 19 | 2024 | 14 | |
| 20 | 2008 | 12 |
About Wei‐Ning Bai
Wei‐Ning Bai is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Molecular Biology, Plant Science and Nutrition and Dietetics, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic diversity and population structure (17 papers), Plant and animal studies (11 papers), Plant and Fungal Interactions Research (9 papers), Nuts composition and effects (9 papers), Genomics and Phylogenetic Studies (7 papers), Plant Diversity and Evolution (4 papers), Plant Taxonomy and Phylogenetics (4 papers) and Plant and Fungal Species Descriptions (3 papers). The work is most often cited by research in Endocrinology (162 citations), Ecology, Evolution, Behavior and Systematics (381 citations), Ecological Modeling (76 citations), Genetics (463 citations) and Nutrition and Dietetics (166 citations). Wei‐Ning Bai has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Da‐Yong Zhang, Wan‐Jin Liao, Wenting Wang, Yanfei Zeng, Kui Lin, Keith Woeste, Susanne S. Renner, Lei Bao, Jianping Ge and Tianming Wang. Their work appears in journals such as New Phytologist, Molecular Biology and Evolution, Annals of Botany, Nature Communications and Genome 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.