Fang Wei

7.9k citations
259 papers · 5.6k · h-index 40

Impact in

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

Papers in

    • Photosynthetic Processes and Mechanisms 20
    • Plant tissue culture and regeneration 17
    • Plant Reproductive Biology 15
    • Plant Molecular Biology Research 19

Fang Wei

243 papers receiving 5.5k citations

Peers

Fang Wei
Comparison fields: 5 of 158
  • Virology 192
  • Immunology 787
  • Oncology 964
  • Molecular Biology 2.2k
  • Horticulture 26
Replace Toshihide Kobayashi with:
Toshihide Kobayashi Japan
Andrey A. Zamyatnin Russia
Sergey V. Razin Russia
Michal Sharon Israel
Toshiyuki Mori Japan
Ole Vorm Germany
Tatsuya Sawasaki Japan
Alper Küçükural United States
Qingsong Lin Singapore
Paul Jenö Switzerland
Fang Wei relative to Toshihide Kobayashi Japan Toshihide Kobayashi's profile →
Citations per field
00.5×2×2.7×
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-authors

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

Showing the 20 most-cited of 259 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011372
2 2013237
3 2018221
4 2012167
5 2007145
6 2008130
7 2012126
8 201298
9 201193
10 201486
11 202379
12 201278
13 201466
14 201362
15 201462
16 201661
17 202158
18 201857
19 202257
20 201657

About Fang Wei

Fang Wei is a scholar working on Molecular Biology, Plant Science, Oncology, Epidemiology and Immunology, having authored 259 papers that have together received 5.6k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (20 papers), Plant Molecular Biology Research (19 papers), Viral-associated cancers and disorders (19 papers), Plant tissue culture and regeneration (17 papers), Virus-based gene therapy research (16 papers), Plant Reproductive Biology (15 papers), Cytomegalovirus and herpesvirus research (15 papers) and Immune Cell Function and Interaction (14 papers). The work is most often cited by research in Virology (192 citations), Immunology (787 citations), Oncology (964 citations), Molecular Biology (2.2k citations) and Horticulture (26 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, Xueqin Wang and Jeffrey D. Hartgerink. Their work appears in journals such as Journal of Virology, International Journal of Molecular Sciences, Frontiers in Plant Science, Plants and Scientific Reports.

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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