Zai-Wei Ge
Impact in
- Cell Biology top 5%
- Plant Pathogens and Fungal Diseases
- Plant Science top 5%
- Mycorrhizal Fungi and Plant Interactions
Papers in
-
- Mycorrhizal Fungi and Plant Interactions 40
- Botany and Plant Ecology Studies 2
- Cell Biology 30
- Plant Pathogens and Fungal Diseases 30
- Co-authors
- Matthew E. Smith (8 shared papers)Zhu L. Yang (4 shared papers)Else C. Vellinga (4 shared papers)Zhu L. Yang (6 shared papers)Gregory Bonito (2 shared papers)T. B. Brenneman (1 shared paper)Donald H. Pfister (3 shared papers)Takamichi Orihara (2 shared papers)
- Journals
- Phytotaxa (6 papers)MycoKeys (4 papers)Mycologia (4 papers)Mycological Progress (2 papers)Fungal Diversity (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Zai-Wei Ge
40 papers receiving 567 citations
Peers
Comparison fields: 5 of 46
- Cell Biology 324
- Plant Science 523
- Ecology, Evolution, Behavior and Systematics 221
- Pharmacology 156
- Insect Science 85
Countries citing papers authored by Zai-Wei Ge
This map shows the geographic impact of Zai-Wei Ge'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 Zai-Wei Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zai-Wei Ge more than expected).
Fields of papers citing papers by Zai-Wei Ge
This network shows the impact of papers produced by Zai-Wei Ge. 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 Zai-Wei Ge. The network helps show where Zai-Wei Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Zai-Wei Ge, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 60 | |
| 2 | 2012 | 52 | |
| 3 | 2010 | 44 | |
| 4 | 2022 | 37 | |
| 5 | 2016 | 31 | |
| 6 | 2022 | 31 | |
| 7 | 2015 | 30 | |
| 8 | 2010 | 27 | |
| 9 | 2014 | 24 | |
| 10 | 2018 | 22 | |
| 11 | 2012 | 20 | |
| 12 | 2018 | 20 | |
| 13 | 2021 | 15 | |
| 14 | 2005 | 14 | |
| 15 | 2020 | 13 | |
| 16 | 2010 | 13 | |
| 17 | 2011 | 12 | |
| 18 | Flammulina species from China inferred by morphological and molecular data | 2008 | 12 |
| 19 | 2020 | 11 | |
| 20 | 2017 | 11 |
About Zai-Wei Ge
Zai-Wei Ge is a scholar working on Plant Science, Cell Biology, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Pharmacology, having authored 44 papers that have together received 599 indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (40 papers), Plant Pathogens and Fungal Diseases (30 papers), Fungal Biology and Applications (13 papers), Plant and Fungal Species Descriptions (13 papers), Lichen and fungal ecology (11 papers), Plant Diversity and Evolution (6 papers), Forest Ecology and Biodiversity Studies (5 papers) and Botany and Plant Ecology Studies (2 papers). The work is most often cited by research in Cell Biology (324 citations), Plant Science (523 citations), Ecology, Evolution, Behavior and Systematics (221 citations), Pharmacology (156 citations) and Insect Science (85 citations). Zai-Wei Ge has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Matthew E. Smith, Zhu L. Yang, Else C. Vellinga, Zhu L. Yang, Gregory Bonito, T. B. Brenneman, Donald H. Pfister, Takamichi Orihara, Nitaro Maekawa and Jianping Xu. Their work appears in journals such as Phytotaxa, MycoKeys, Mycologia, Mycological Progress and Fungal Diversity.
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.