Xin Liu

3.7k citations
168 papers · 2.8k · h-index 28

Impact in

Papers in

Xin Liu

158 papers receiving 2.8k citations

Peers

Xin Liu
Comparison fields: 5 of 162
  • Health, Toxicology and Mutagenesis 747
  • Environmental Chemistry 278
  • Food Science 278
  • Inorganic Chemistry 188
  • Nutrition and Dietetics 206
Replace May Bin‐Jumah with:
May Bin‐Jumah Saudi Arabia
Kelvin Sze‐Yin Leung Hong Kong
Kanwal Rehman Pakistan
K. Raghu India
Fahad A. Alhumaydhi Saudi Arabia
Minghui Li China
Abilash Valsala Gopalakrishnan India
Fei Zheng China
John M. Wood United Kingdom
Saad Alkahtani Saudi Arabia
Xin Liu relative to May Bin‐Jumah Saudi Arabia May Bin‐Jumah's profile →
Citations per field
00.5×20×40×67×
May Bin‐Jumah · 1×
Citations per year

Countries citing papers authored by Xin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016189
2 2017161
3 2013111
4 2016108
5 202394
6 202287
7 201783
8 201957
9 201354
10 201053
11 201753
12 201950
13 201948
14 201747
15 201942
16 201340
17 201638
18 201837
19 202236
20 201835

About Xin Liu

Xin Liu is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Materials Chemistry, Environmental Chemistry and Clinical Biochemistry, having authored 168 papers that have together received 2.8k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (19 papers), Effects and risks of endocrine disrupting chemicals (15 papers), Heavy Metal Exposure and Toxicity (14 papers), Toxic Organic Pollutants Impact (13 papers), Per- and polyfluoroalkyl substances research (10 papers), Covalent Organic Framework Applications (9 papers), Advanced Glycation End Products research (9 papers) and Proteins in Food Systems (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (747 citations), Environmental Chemistry (278 citations), Food Science (278 citations), Inorganic Chemistry (188 citations) and Nutrition and Dietetics (206 citations). Xin Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yongning Wu, Feng Xu, Jianhua Xie, Jinhui Pang, Xueming Zhang, Lingfan Zhang, Zhiyong Gong, Jian‐Ding Qiu, Jingguang Li and Ru‐Ping Liang. Their work appears in journals such as Environment International, Journal of Hazardous Materials, Chemosphere, Environmental Science & Technology and Food Chemistry.

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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