Mingfa Lv

526 citations
26 papers · 425 indexed · h-index 14

Impact in

    • 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 4
    • Cassava research and cyanide 3
    • Plant Virus Research Studies 3
    • Plant Pathogens and Fungal Diseases 7

Mingfa Lv

23 papers receiving 417 citations

Peers

Mingfa Lv
Comparison fields: 5 of 48
  • Plant Science 320
  • Endocrinology 29
  • Cell Biology 63
  • Molecular Medicine 15
  • Small Animals 18
Replace Peter E. Eckstein with:
Peter E. Eckstein Canada
Laurival A. Vilas-Bôas Brazil
Mohammed Ibrahim Switzerland
Eugen Domann Germany
Slimane Khayi Morocco
Jixin Zhao China
K. Balakrishna India
Ludovic Mallet France
Dina Raats Israel
Mingfa Lv relative to Peter E. Eckstein Canada Peter E. Eckstein's profile →
Citations per field
00.5×6.1×
Peter E. Eckstein · 1×
Citations per year

Countries citing papers authored by Mingfa Lv

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mingfa Lv Line = papers co-authored together Mingfa Lv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201550
2 201933
3 201633
4 201833
5 201728
6 201427
7 202025
8 201625
9 201322
10 201621
11 201817
12 201815
13 202114
14 202214
15 202212
16 201912
17 201611
18 20229
19 20237
20 20227

About Mingfa Lv

Mingfa Lv is a scholar working on Plant Science, Cell Biology, Biotechnology, Molecular Medicine and Endocrinology, having authored 26 papers that have together received 425 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 (4 papers), Cassava research and cyanide (3 papers), Plant Virus Research Studies (3 papers), Bacterial biofilms and quorum sensing (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Plant Science (320 citations), Endocrinology (29 citations), Cell Biology (63 citations), Molecular Medicine (15 citations) and Small Animals (18 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, Yanfang Gu, Ming Hu and Yingying Cheng. Their work appears in journals such as Molecular Plant Pathology, Microbial Biotechnology, Frontiers in Plant Science, Fitoterapia and mBio.

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.

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