Wang Wang

514 citations
30 papers · 379 · h-index 12

Impact in

Papers in

    • Signaling Pathways in Disease 6
    • Protein Interaction Studies and Fluorescence Analysis 4
    • Protein Degradation and Inhibitors 2
    • Circular RNAs in diseases 2
    • Toxin Mechanisms and Immunotoxins 5

Wang Wang

27 papers receiving 375 citations

Peers

Wang Wang
Comparison fields: 5 of 81
  • Applied Microbiology and Biotechnology 27
  • Biochemistry 28
  • Biological Psychiatry 10
  • Biotechnology 32
  • Molecular Biology 228
Replace Lakshmishri Lahiry with:
Lakshmishri Lahiry India
Myung Gu Jung South Korea
Shuhei Yamada Japan
Vijay S. Thakur United States
Akshaya Murugesan Finland
Joelle C. Boulos Germany
Viviana Roman Romania
Huiying Duan China
Susana Sánchez‐Tena Spain
Mu‐Yang Huang Macao
Wang Wang relative to Lakshmishri Lahiry India Lakshmishri Lahiry's profile →
Citations per field
00.5×11×
Lakshmishri Lahiry · 1×
Citations per year

Countries citing papers authored by Wang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201541
2 202035
3 201834
4 201233
5 201927
6 201725
7 200725
8 200724
9 202122
10 201820
11 201717
12 202114
13 202011
14 20209
15 20198
16 20208
17 19986
18 20206
19 20213
20 20223

About Wang Wang

Wang Wang is a scholar working on Molecular Biology, Immunology, Cancer Research, Atomic and Molecular Physics, and Optics and Surgery, having authored 30 papers that have together received 379 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (6 papers), Toxin Mechanisms and Immunotoxins (5 papers), Protein Interaction Studies and Fluorescence Analysis (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Protein Degradation and Inhibitors (2 papers), Tannin, Tannase and Anticancer Activities (2 papers), Circular RNAs in diseases (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (27 citations), Biochemistry (28 citations), Biological Psychiatry (10 citations), Biotechnology (32 citations) and Molecular Biology (228 citations). Wang Wang has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Linfang Du, Zhenshan Li, Wen Huang, Hai Niu, Shasha Cao, Xixi Zhu, Wentao Yang, Qiuying Wang, Qingyan Zhang and Ratnadeep Basu. Their work appears in journals such as Journal of Molecular Liquids, Journal of Biomolecular Structure and Dynamics, Scientific Reports, BMC Biology and IEEE Transactions on Intelligent Transportation Systems.

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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