Xi Tang

5.9k citations
112 papers · 5.2k · h-index 46

Impact in

  • Pollution top 0.5%
    • Wastewater Treatment and Nitrogen Removal
  • Pharmacology top 0.2%
    • Cholinesterase and Neurodegenerative Diseases

Papers in

    • Cholinesterase and Neurodegenerative Diseases 39
    • Wastewater Treatment and Nitrogen Removal 30

Xi Tang

106 papers receiving 5.1k citations

Peers

Xi Tang
Comparison fields: 5 of 154
  • Pollution 1.6k
  • Pharmacology 1.5k
  • Complementary and alternative medicine 465
  • Health, Toxicology and Mutagenesis 673
  • Environmental Engineering 634
Replace Alessia Carocci with:
Alessia Carocci Italy
Shuiyuan Cheng China
Devendra Kumar Patel India
Akira Nakajima Japan
Liuqing Yang China
Arne Wick Germany
Qing Zhao China
Kelvin Sze‐Yin Leung Hong Kong
Guanghua Mao China
Chun‐Yen Chen Taiwan
Xi Tang relative to Alessia Carocci Italy Alessia Carocci's profile →
Citations per field
00.5×9.8×
Alessia Carocci · 1×
Citations per year

Countries citing papers authored by Xi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018306
2 2018219
3 2015186
4 2006151
5 2001147
6 2015145
7 2001123
8 2018123
9 1999106
10 202299
11 200299
12 201998
13 200997
14 201797
15 200093
16 200892
17 200291
18 202091
19 200988
20 200488

About Xi Tang

Xi Tang is a scholar working on Pharmacology, Pollution, Physiology, Health, Toxicology and Mutagenesis and Molecular Biology, having authored 112 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (39 papers), Wastewater Treatment and Nitrogen Removal (30 papers), Alzheimer's disease research and treatments (19 papers), Computational Drug Discovery Methods (12 papers), Microbial Fuel Cells and Bioremediation (11 papers), Membrane Separation Technologies (11 papers), Nicotinic Acetylcholine Receptors Study (10 papers) and Pesticide Exposure and Toxicity (10 papers). The work is most often cited by research in Pollution (1.6k citations), Pharmacology (1.5k citations), Complementary and alternative medicine (465 citations), Health, Toxicology and Mutagenesis (673 citations) and Environmental Engineering (634 citations). Xi Tang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Haiyan Zhang, Sitong Liu, Yongzhao Guo, Xiaoqiu Xiao, Jin Zhou, Bo Jiang, Hu‐Chun Tao, Yifan Han, Yun‐Peng Zhao and Xin Gao. Their work appears in journals such as The Science of The Total Environment, Water Research, Environmental Science & Technology, Journal of Water Process Engineering and Chemical Engineering Journal.

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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