Fang Wei

7.9k citations
257 papers · 5.4k · h-index 39

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 16
    • Plant Reproductive Biology 15
    • Plant Molecular Biology Research 18

Fang Wei

242 papers receiving 5.3k citations

Peers

Fang Wei
Comparison fields: 5 of 155
  • Virology 185
  • Immunology 767
  • Oncology 942
  • Molecular Biology 2.1k
  • Horticulture 24
Replace Toshihide Kobayashi with:
Toshihide Kobayashi Japan
Andrey A. Zamyatnin Russia
Ole Vorm Germany
Andrew A. McCarthy France
Toshiyuki Mori Japan
Michal Sharon Israel
Sergey V. Razin Russia
Alper Küçükural United States
Jérôme Garin France
Qingsong Lin Singapore
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-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 257 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011362
2 2013234
3 2018219
4 2012158
5 2007140
6 2008127
7 2012125
8 201298
9 201189
10 201485
11 202379
12 201270
13 201464
14 201361
15 201659
16 202158
17 202257
18 202256
19 201855
20 201455

About Fang Wei

Fang Wei is a scholar working on Molecular Biology, Plant Science, Oncology, Epidemiology and Immunology, having authored 257 papers that have together received 5.4k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (20 papers), Viral-associated cancers and disorders (19 papers), Plant Molecular Biology Research (18 papers), Virus-based gene therapy research (16 papers), Plant tissue culture and regeneration (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 (185 citations), Immunology (767 citations), Oncology (942 citations), Molecular Biology (2.1k citations) and Horticulture (24 citations). Fang Wei has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Qiliang Cai, Baoming Tian, Xiaojing Ma, James L. Riley, Michael L. Atchison, Caixia Zhu, Xiaochun Wei, Simon Rayner, Zhenguo Zi and Naomi J. Halas. Their work appears in journals such as Journal of Virology, Frontiers in Plant Science, International Journal of Molecular Sciences, 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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