Xiaole Liu

28 papers receiving 513 citations

Peers

Xiaole Liu
Comparison fields: 5 of 87
  • Health, Toxicology and Mutagenesis 277
  • Electrochemistry 37
  • Bioengineering 28
  • Parasitology 22
  • Physiology 63
Replace Emerson Rodrigues da Silva with:
Emerson Rodrigues da Silva Brazil
Manoj Kumar Pathak India
Elisabetta Fea Italy
Bontle Mbongwe Botswana
Jo Anne G. Balanay United States
Ya Gao China
Dominic L. Palazzolo United States
Stephanie R. Ostrowski United States
Yanlin Niu China
Jelena Macan Croatia
Xiaole Liu relative to Emerson Rodrigues da Silva Brazil Emerson Rodrigues da Silva's profile →
Citations per field
00.5×10×14×
Emerson Rodrigues da Silva · 1×
Citations per year

Countries citing papers authored by Xiaole Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaole Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015119
2 201841
3 199939
4 202237
5 201135
6 201833
7 201527
8 201721
9 202120
10 202118
11 201817
12 202114
13 201612
14 201310
15 201210
16 20189
17 20169
18 20208
19 20226
20 20226

About Xiaole Liu

Xiaole Liu is a scholar working on Health, Toxicology and Mutagenesis, Cognitive Neuroscience, Bioengineering, Plant Science and Electrochemistry, having authored 28 papers that have together received 519 indexed citations. Recurring topics across this work include Climate Change and Health Impacts (7 papers), Visual perception and processing mechanisms (4 papers), Analytical Chemistry and Sensors (4 papers), Air Quality and Health Impacts (3 papers), Electrochemical Analysis and Applications (3 papers), Multisensory perception and integration (2 papers), Acute Ischemic Stroke Management (2 papers) and Parasite Biology and Host Interactions (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (277 citations), Electrochemistry (37 citations), Bioengineering (28 citations), Parasitology (22 citations) and Physiology (63 citations). Xiaole Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hui Lian, Zhongjie Fan, Ruijuan Liang, Yanping Ruan, Dehui Kong, Yanbo Liu, Jia Fu, Yakun Zhao, Xiaoyi Zhao and Zhongjie Fan. Their work appears in journals such as International Journal of Environmental Research and Public Health, Frontiers in Public Health, BMJ Open, Applied Biochemistry and Biotechnology and The Journal of Steroid Biochemistry and Molecular Biology.

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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