Yu Weiwei

466 citations
16 papers · 362 · h-index 11

Impact in

Papers in

    • Genomics and Phylogenetic Studies 6
    • Phytoplasmas and Hemiptera pathogens 2
    • Chromosomal and Genetic Variations 2
    • Plant Virus Research Studies 2

Yu Weiwei

16 papers receiving 338 citations

Peers

Yu Weiwei
Comparison fields: 5 of 45
  • Biotechnology 88
  • Insect Science 47
  • Molecular Biology 215
  • Infectious Diseases 54
  • Genetics 85
Replace Daniel Mariano Pérez-Filgueira with:
Daniel Mariano Pérez-Filgueira Argentina
Wenfei Li Australia
Zhiyong Li China
Bertha Cecilia Ramírez France
Silvina Chimeno Zoth Argentina
Fernando Martínez Spain
Mariana G. Corigliano Argentina
Mariana del Vas Argentina
Jia-Teh Liao Taiwan
Yu Weiwei relative to Daniel Mariano Pérez-Filgueira Argentina Daniel Mariano Pérez-Filgueira's profile →
Citations per field
00.5×2.8×
Daniel Mariano Pérez-Filgueira · 1×
Citations per year

Countries citing papers authored by Yu Weiwei

Since Specialization
Citations

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

Fields of papers citing papers by Yu Weiwei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2000103
2 201142
3 201430
4 199029
5 201324
6 198323
7 201421
8 201316
9 202115
10 201913
11 202012
12 201210
13 20197
14 20116
15 20156
16 20195

About Yu Weiwei

Yu Weiwei is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Epidemiology, having authored 16 papers that have together received 362 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), T-cell and B-cell Immunology (2 papers), Phytoplasmas and Hemiptera pathogens (2 papers), Freshwater macroinvertebrate diversity and ecology (2 papers), Herpesvirus Infections and Treatments (2 papers), Chromosomal and Genetic Variations (2 papers), Insect-Plant Interactions and Control (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Biotechnology (88 citations), Insect Science (47 citations), Molecular Biology (215 citations), Infectious Diseases (54 citations) and Genetics (85 citations). Yu Weiwei has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Éva Nagy, L. Erickson, Tamás Tuboly, A. Bailey, Yu-Zhou Du, Xiaoyu Ji, Liping Wang, Fei Yang, Robert W. Karr and K S Evans. Their work appears in journals such as Gene, Poultry Science, Planta, Journal of Veterinary Science and The Journal of Experimental Medicine.

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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