Fang Wei

7.8k citations
261 papers · 5.4k indexed · h-index 39

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Virology top 5%

Papers in

Fang Wei

245 papers receiving 5.3k citations

Peers

Fang Wei
Comparison fields: 5 of 155
  • Immunology 898
  • Virology 185
  • Oncology 1.0k
  • Molecular Biology 2.3k
  • Horticulture 28
Replace Toshihide Kobayashi with:
Toshihide Kobayashi Japan
Mark N. Wass United Kingdom
Andrey A. Zamyatnin Russia
Michal Sharon Israel
Ole Vorm Germany
Lisa N. Kinch United States
Alper Küçükural United States
Toshiyuki Mori Japan
Pierre Cosson Switzerland
Tatsuya Sawasaki Japan
Fang Wei relative to Toshihide Kobayashi Japan Toshihide Kobayashi's profile →
Citations per field
00.5×2.7×
Toshihide Kobayashi · 1×
Citations per year

Countries citing papers authored by Fang Wei

Since Specialization
Citations

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

Fields of papers citing papers by Fang Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20237
4 202317
5 20234
6 202370
7 20235
8 202314
9 20226
10 20225
11
Antimicrobial resistance and virulence of Streptococcus agalactiae in tilapia fish in Guangdong province.
20192
12 20175
13 20152
14 201446
15
Diversity analysis of lactic acid bacteria isolated from the traditional fermented milk
20121
16
Endogenous hormone changes during floral bud morphological differentiation of Phyllostachys violascens
20123
17 20111
18 20113
19
Studies on floral biology of Phyllostachys violascens
20102
20 200926

About Fang Wei

Fang Wei is a scholar working on Horticulture, Plant Science, Oncology, Molecular Biology and Biochemistry, having authored 261 papers that have together received 5.4k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (22 papers), Plant Molecular Biology Research (22 papers), Viral-associated cancers and disorders (20 papers), Cytomegalovirus and herpesvirus research (18 papers), Plant Reproductive Biology (17 papers), Plant tissue culture and regeneration (17 papers), Virus-based gene therapy research (17 papers) and Immune Cell Function and Interaction (15 papers). The work is most often cited by research in Immunology (898 citations), Virology (185 citations), Oncology (1.0k citations), Molecular Biology (2.3k citations) and Horticulture (28 citations). Fang Wei has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Qiliang Cai, Baoming Tian, James L. Riley, Xiaojing Ma, Michael L. Atchison, Caixia Zhu, Xiaochun Wei, Simon Rayner, Zhenguo Zi and Dongmao Zhang. Their work appears in journals such as Journal of Virology, International Journal of Molecular Sciences, Frontiers in Plant Science, Plants and The Journal of Immunology.

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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2026