Wen‐Lu Bi
Impact in
- Plant Science top 5%
- Plant Virus Research Studies
- Seed Germination and Physiology
- Plant Disease Management Techniques
- Endocrinology top 10%
Papers in
-
- Plant tissue culture and regeneration 22
-
- Plant Virus Research Studies 8
- Seed Germination and Physiology 6
- Flowering Plant Growth and Cultivation 6
- Plant Disease Management Techniques 3
- Co-authors
- Qiao‐Chun Wang (17 shared papers)Gayle M. Volk (8 shared papers)Zhenhua Cui (7 shared papers)Xinyi Hao (6 shared papers)Min‐Rui Wang (4 shared papers)Bing Zhao (2 shared papers)Elif Aylin Özüdoğru (2 shared papers)Mukund R. Shukla (4 shared papers)
- Journals
- Plants (4 papers)Plant Cell Tissue and Organ Culture (PCTOC) (2 papers)Annals of Applied Biology (2 papers)Biodiversity and Conservation (1 paper)BMC Microbiology (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Wen‐Lu Bi
27 papers receiving 585 citations
Peers
Comparison fields: 5 of 54
- Plant Science 501
- Endocrinology 42
- Biotechnology 67
- Molecular Biology 473
- Ecology, Evolution, Behavior and Systematics 97
Countries citing papers authored by Wen‐Lu Bi
This map shows the geographic impact of Wen‐Lu Bi'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 Wen‐Lu Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Lu Bi more than expected).
Fields of papers citing papers by Wen‐Lu Bi
This network shows the impact of papers produced by Wen‐Lu Bi. 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 Wen‐Lu Bi. The network helps show where Wen‐Lu Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen‐Lu Bi, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 73 | |
| 2 | 2021 | 46 | |
| 3 | 2013 | 41 | |
| 4 | 2021 | 36 | |
| 5 | 2017 | 36 | |
| 6 | 2017 | 35 | |
| 7 | 2018 | 34 | |
| 8 | 2016 | 34 | |
| 9 | 2022 | 30 | |
| 10 | 2014 | 30 | |
| 11 | 2018 | 27 | |
| 12 | 2017 | 25 | |
| 13 | 2019 | 22 | |
| 14 | 2015 | 18 | |
| 15 | 2017 | 16 | |
| 16 | 2015 | 14 | |
| 17 | 2016 | 13 | |
| 18 | 2012 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2022 | 10 |
About Wen‐Lu Bi
Wen‐Lu Bi is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Endocrinology and Cell Biology, having authored 28 papers that have together received 604 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (22 papers), Plant Virus Research Studies (8 papers), Seed Germination and Physiology (6 papers), Flowering Plant Growth and Cultivation (6 papers), Plant and Fungal Interactions Research (5 papers), Plant and animal studies (4 papers), Plant Disease Management Techniques (3 papers) and Plant Pathogens and Fungal Diseases (3 papers). The work is most often cited by research in Plant Science (501 citations), Endocrinology (42 citations), Biotechnology (67 citations), Molecular Biology (473 citations) and Ecology, Evolution, Behavior and Systematics (97 citations). Wen‐Lu Bi has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Qiao‐Chun Wang, Gayle M. Volk, Zhenhua Cui, Xinyi Hao, Min‐Rui Wang, Bing Zhao, Elif Aylin Özüdoğru, Mukund R. Shukla, Praveen K. Saxena and Long Chen. Their work appears in journals such as Plants, Plant Cell Tissue and Organ Culture (PCTOC), Annals of Applied Biology, Biodiversity and Conservation and BMC Microbiology.
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.