Min Fu

1.3k citations
49 papers · 931 · h-index 15

Impact in

Papers in

    • Plant Virus Research Studies 6
    • Plant-Microbe Interactions and Immunity 6
    • Plant Pathogenic Bacteria Studies 4
    • Smart Agriculture and AI 4
    • Plant Pathogens and Fungal Diseases 7

Min Fu

42 papers receiving 920 citations

Peers

Min Fu
Comparison fields: 5 of 104
  • Endocrinology 153
  • Geriatrics and Gerontology 75
  • Cell Biology 269
  • Plant Science 437
  • Biomaterials 84
Replace Jiandong Bao with:
Jiandong Bao China
Qinghe Chen China
Zhen Song China
Zhi Ma China
Hyun‐Hee Lee South Korea
Kvin Lertpiriyapong United States
Hainan Zhao China
Kebin Zhang China
Juan Xue China
Min Fu relative to Jiandong Bao China Jiandong Bao's profile →
Citations per field
00.5×7.3×
Jiandong Bao · 1×
Citations per year

Countries citing papers authored by Min Fu

Since Specialization
Citations

This map shows the geographic impact of Min Fu'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 Min Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Fu more than expected).

Fields of papers citing papers by Min Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Fu. 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 Min Fu. The network helps show where Min Fu may publish in the future.

Co-authors

The 25 scholars most cited alongside Min Fu, 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 Min Fu Line = papers co-authored together Min Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018130
2 200390
3 202089
4 200580
5 199276
6 201656
7 201953
8 201947
9 201831
10 201628
11 201725
12 201924
13 201819
14 201918
15 201614
16 202411
17 202011
18 202310
19 202210
20 202010

About Min Fu

Min Fu is a scholar working on Plant Science, Cell Biology, Endocrinology, Biomaterials and Molecular Biology, having authored 49 papers that have together received 931 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (7 papers), Plant and Fungal Interactions Research (7 papers), Plant Virus Research Studies (6 papers), Plant-Microbe Interactions and Immunity (6 papers), Nanoparticle-Based Drug Delivery (5 papers), Nanoplatforms for cancer theranostics (4 papers), Plant Pathogenic Bacteria Studies (4 papers) and Smart Agriculture and AI (4 papers). The work is most often cited by research in Endocrinology (153 citations), Geriatrics and Gerontology (75 citations), Cell Biology (269 citations), Plant Science (437 citations) and Biomaterials (84 citations). Min Fu has collaborated with scholars based in China, United States and South Africa. Frequent co-authors include Ní Hóng, Tristan D. Booth, John J. Docherty, Jun Xiang, Qing Bai, Mengmeng Yang, P.W. Crous, Lifeng Zhai, J SMITH and Xuetao Li. Their work appears in journals such as Plant Disease, Frontiers in Plant Science, Persoonia - Molecular Phylogeny and Evolution of Fungi, Archives of Virology and Antiviral Research.

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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