Beibei Wang

4.3k citations
191 papers · 3.3k · h-index 31

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Sulfur Compounds in Biology

Papers in

    • Advanced biosensing and bioanalysis techniques 10
    • Genomics and Phylogenetic Studies 10
    • Insect Resistance and Genetics 9
    • Aquaculture disease management and microbiota 11
    • Invertebrate Immune Response Mechanisms 8

Beibei Wang

182 papers receiving 3.2k citations

Peers

Beibei Wang
Comparison fields: 5 of 145
  • Cancer Research 300
  • Biochemistry 147
  • Molecular Biology 1.3k
  • Agronomy and Crop Science 167
  • Plant Science 604
Replace Chiara DˈAmbrosio with:
Chiara DˈAmbrosio Italy
Qi Zheng China
Di Liu China
Gabriel Mazzucchelli Belgium
Yang Ding China
Gang Zhou China
Zhihui Zhao China
Maria Gabriella Giuffrida Italy
Mohsen Mardi Iran
Beibei Wang relative to Chiara DˈAmbrosio Italy Chiara DˈAmbrosio's profile →
Citations per field
00.5×2×3×4×5.0×
Chiara DˈAmbrosio · 1×
Citations per year

Countries citing papers authored by Beibei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Beibei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 191 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017185
2 2015101
3 202291
4 201986
5 201678
6 202066
7 202062
8 202260
9 202159
10 201958
11 201655
12 201152
13 202149
14 202347
15 201946
16 201946
17 202245
18 201845
19 202144
20 201744

About Beibei Wang

Beibei Wang is a scholar working on Molecular Biology, Immunology, Cancer Research, Plant Science and Cell Biology, having authored 191 papers that have together received 3.3k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (13 papers), MicroRNA in disease regulation (11 papers), Aquaculture disease management and microbiota (11 papers), Advanced biosensing and bioanalysis techniques (10 papers), Genomics and Phylogenetic Studies (10 papers), Insect Resistance and Genetics (9 papers), Invertebrate Immune Response Mechanisms (8 papers) and Cancer-related molecular mechanisms research (8 papers). The work is most often cited by research in Cancer Research (300 citations), Biochemistry (147 citations), Molecular Biology (1.3k citations), Agronomy and Crop Science (167 citations) and Plant Science (604 citations). Beibei Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yunze Ruan, Yan Zhao, Rong Li, Qirong Shen, Wei Zhao, Qi Fang, Juncai Leng, Yannan Ou, Gōngyín Yè and Hong Jiang. Their work appears in journals such as Fish & Shellfish Immunology, Scientific Reports, International Journal of Molecular Sciences, Extremophiles and Molecules.

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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