Mingfa Lv
Impact in
- Plant Science top 10%
- Plant Pathogenic Bacteria Studies
- Plant-Microbe Interactions and Immunity
- Banana Cultivation and Research
- Legume Nitrogen Fixing Symbiosis
- Cassava research and cyanide
Papers in
-
- Plant Pathogenic Bacteria Studies 18
- Plant-Microbe Interactions and Immunity 15
- Legume Nitrogen Fixing Symbiosis 3
- Plant Virus Research Studies 3
- Banana Cultivation and Research 2
- Cassava research and cyanide 2
-
- Plant Pathogens and Fungal Diseases 7
- Co-authors
- Jianuan Zhou (18 shared papers)Lian‐Hui Zhang (17 shared papers)Yufan Chen (12 shared papers)Lisheng Liao (7 shared papers)Zhibin Liang (10 shared papers)Shiyin Liu (6 shared papers)Zide Jiang (3 shared papers)Ming Hu (5 shared papers)
- Journals
- Molecular Plant Pathology (4 papers)Frontiers in Plant Science (2 papers)mBio (2 papers)Fitoterapia (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Mingfa Lv
24 papers receiving 432 citations
Peers
Comparison fields: 5 of 47
- Plant Science 322
- Endocrinology 29
- Cell Biology 64
- Molecular Medicine 13
- Small Animals 17
Countries citing papers authored by Mingfa Lv
This map shows the geographic impact of Mingfa Lv'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 Mingfa Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingfa Lv more than expected).
Fields of papers citing papers by Mingfa Lv
This network shows the impact of papers produced by Mingfa Lv. 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 Mingfa Lv. The network helps show where Mingfa Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingfa Lv, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 52 | |
| 2 | 2019 | 34 | |
| 3 | 2016 | 33 | |
| 4 | 2018 | 33 | |
| 5 | 2017 | 31 | |
| 6 | 2014 | 27 | |
| 7 | 2016 | 26 | |
| 8 | 2020 | 25 | |
| 9 | 2013 | 22 | |
| 10 | 2016 | 21 | |
| 11 | 2018 | 18 | |
| 12 | 2018 | 15 | |
| 13 | 2021 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2016 | 13 | |
| 17 | 2019 | 12 | |
| 18 | 2022 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2022 | 7 |
About Mingfa Lv
Mingfa Lv is a scholar working on Plant Science, Cell Biology, Molecular Biology, Pharmacology and Biotechnology, having authored 27 papers that have together received 441 indexed citations. Recurring topics across this work include Plant Pathogenic Bacteria Studies (18 papers), Plant-Microbe Interactions and Immunity (15 papers), Plant Pathogens and Fungal Diseases (7 papers), Legume Nitrogen Fixing Symbiosis (3 papers), Plant Virus Research Studies (3 papers), Banana Cultivation and Research (2 papers), Cassava research and cyanide (2 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Plant Science (322 citations), Endocrinology (29 citations), Cell Biology (64 citations), Molecular Medicine (13 citations) and Small Animals (17 citations). Mingfa Lv has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jianuan Zhou, Lian‐Hui Zhang, Yufan Chen, Lisheng Liao, Zhibin Liang, Shiyin Liu, Zide Jiang, Ming Hu, Shaohua Chen and Yanfang Gu. Their work appears in journals such as Molecular Plant Pathology, Frontiers in Plant Science, mBio, Fitoterapia and PLoS ONE.
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.