Xi Tang

5.8k citations
108 papers · 4.9k · h-index 46

Impact in

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

Papers in

    • Cholinesterase and Neurodegenerative Diseases 38
    • Wastewater Treatment and Nitrogen Removal 28

Xi Tang

105 papers receiving 4.8k citations

Peers

Xi Tang
Comparison fields: 5 of 155
  • Pollution 1.5k
  • Pharmacology 1.5k
  • Complementary and alternative medicine 456
  • Health, Toxicology and Mutagenesis 649
  • Environmental Engineering 603
Replace Alessia Carocci with:
Alessia Carocci Italy
G. A. Ravishankar India
Akira Nakajima Japan
Devendra Kumar Patel India
Shuiyuan Cheng China
Yuan Tian China
Liuqing Yang China
Lili Ji China
Giuseppe Genchi Italy
Yong‐Woo Lee South Korea
Xi Tang relative to Alessia Carocci Italy Alessia Carocci's profile →
Citations per field
00.5×10.2×
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 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018286
2 2018206
3 2015183
4 2001141
5 2006139
6 2015137
7 2018121
8 2001117
9 199998
10 200296
11 201993
12 200993
13 201792
14 200091
15 202090
16 202287
17 200284
18 200884
19 200484
20 201584

About Xi Tang

Xi Tang is a scholar working on Pharmacology, Pollution, Physiology, Molecular Biology and Water Science and Technology, having authored 108 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (38 papers), Wastewater Treatment and Nitrogen Removal (28 papers), Alzheimer's disease research and treatments (19 papers), Computational Drug Discovery Methods (12 papers), Membrane Separation Technologies (11 papers), Nicotinic Acetylcholine Receptors Study (10 papers), Microbial Fuel Cells and Bioremediation (9 papers) and Pesticide Exposure and Toxicity (9 papers). The work is most often cited by research in Pollution (1.5k citations), Pharmacology (1.5k citations), Complementary and alternative medicine (456 citations), Health, Toxicology and Mutagenesis (649 citations) and Environmental Engineering (603 citations). Xi Tang has collaborated with scholars based in China, Hong Kong and United States. 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 Water Research, The Science of The Total Environment, Environmental Science & Technology, European Journal of Pharmacology 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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