Aixing Tang

481 citations
26 papers · 373 · h-index 11

Impact in

  • Pollution top 10%
    • Pesticide and Herbicide Environmental Studies
    • Pharmaceutical and Antibiotic Environmental Impacts
    • Wound Healing and Treatments

Papers in

    • Enzyme Catalysis and Immobilization 8
    • Microbial Metabolic Engineering and Bioproduction 4
    • Enzyme-mediated dye degradation 6

Aixing Tang

25 papers receiving 369 citations

Peers

Aixing Tang
Comparison fields: 5 of 65
  • Pollution 105
  • Rehabilitation 26
  • Health, Toxicology and Mutagenesis 51
  • Renewable Energy, Sustainability and the Environment 56
  • Biotechnology 29
Replace Nelly Georgieva with:
Nelly Georgieva Bulgaria
Zarrindokht Emami‐Karvani Iran
Roshanak Tarrahi Iran
Zeyu Zhang China
Mohammad Perwez India
Khurshid Ahmad China
Monika Sharma China
El Montassir Dahmane Morocco
Digafe Alemu Ethiopia
Lijun Shao China
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Citations per field
00.5×10×15×
Nelly Georgieva · 1×
Citations per year

Countries citing papers authored by Aixing Tang

Since Specialization
Citations

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

Fields of papers citing papers by Aixing Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202149
2 202047
3 201741
4 201839
5 202229
6 202024
7 201519
8 202119
9 201818
10 202417
11 201914
12 20259
13 20219
14 20218
15 20227
16 20246
17 20235
18 20223
19 20232
20 20242

About Aixing Tang

Aixing Tang is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Biotechnology and Materials Chemistry, having authored 26 papers that have together received 373 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (8 papers), Enzyme-mediated dye degradation (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Electrochemical sensors and biosensors (3 papers), Advanced Nanomaterials in Catalysis (3 papers), Lignin and Wood Chemistry (3 papers), Peptidase Inhibition and Analysis (3 papers) and Microbial Metabolism and Applications (3 papers). The work is most often cited by research in Pollution (105 citations), Rehabilitation (26 citations), Health, Toxicology and Mutagenesis (51 citations), Renewable Energy, Sustainability and the Environment (56 citations) and Biotechnology (29 citations). Aixing Tang has collaborated with scholars based in China. Frequent co-authors include Youyan Liu, Haibo Liu, Qunliang Li, Qingyun Li, Qingyun Li, Qingyun Li, Hu Liu, Hao Yang, Hui Lü and Xin Xiang. Their work appears in journals such as Journal of Agricultural and Food Chemistry, International Journal of Biological Macromolecules, Bioresource Technology, Journal of Hazardous Materials and Environmental Pollution.

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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