Wang Wang

543 citations
31 papers · 405 · h-index 12

Impact in

Papers in

    • Signaling Pathways in Disease 5
    • Protein Interaction Studies and Fluorescence Analysis 4
    • Protein Degradation and Inhibitors 2
    • Photosynthetic Processes and Mechanisms 2
    • Toxin Mechanisms and Immunotoxins 5

Wang Wang

30 papers receiving 399 citations

Peers

Wang Wang
Comparison fields: 5 of 85
  • Applied Microbiology and Biotechnology 30
  • Biochemistry 29
  • Biotechnology 34
  • Molecular Biology 222
  • Biological Psychiatry 7
Replace Teresa Wysocka with:
Teresa Wysocka Poland
Akshaya Murugesan Finland
Viviana Roman Romania
Susana Sánchez‐Tena Spain
Chun-Te Chiang United States
Joelle C. Boulos Germany
Carmen Palacios Spain
Mu‐Yang Huang Macao
Maria Meli Italy
Anna Kostecka Poland
Wang Wang relative to Teresa Wysocka Poland Teresa Wysocka's profile →
Citations per field
00.5×3.5×
Teresa Wysocka · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201541
2 201237
3 202036
4 201834
5 200730
6 201928
7 200727
8 201726
9 202124
10 201820
11 201717
12 202114
13 202011
14 20209
15 20209
16 20198
17 19987
18 20206
19 20255
20 20213

About Wang Wang

Wang Wang is a scholar working on Molecular Biology, Immunology, Atomic and Molecular Physics, and Optics, Surgery and Pharmacology, having authored 31 papers that have together received 405 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (5 papers), Signaling Pathways in Disease (5 papers), Protein Interaction Studies and Fluorescence Analysis (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Protein Degradation and Inhibitors (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Tannin, Tannase and Anticancer Activities (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (30 citations), Biochemistry (29 citations), Biotechnology (34 citations), Molecular Biology (222 citations) and Biological Psychiatry (7 citations). Wang Wang has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Linfang Du, Hai Niu, Wen Huang, Zhenshan Li, Shasha Cao, Qiuying Wang, Wentao Yang, Xixi Zhu, Qingyan Zhang and Lulu Li. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Journal of Molecular Liquids, Process Biochemistry, Oncotarget and Frontiers in Oncology.

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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