Xiaoxi Yang

4.9k citations
142 papers · 3.8k · h-index 36

Impact in

Papers in

Xiaoxi Yang

133 papers receiving 3.8k citations

Peers

Xiaoxi Yang
Comparison fields: 5 of 146
  • Health, Toxicology and Mutagenesis 538
  • Pollution 376
  • Genetics 258
  • Hematology 215
  • Biomedical Engineering 753
Replace Marcin Kruszewski with:
Marcin Kruszewski Poland
Shuping Zhang China
Jen‐Fu Chiu Hong Kong
Stefano Materazzi Italy
Nuzhat Ahmed Australia
Luciana Dini Italy
Norio Itoh Japan
Pengfei Wang China
Peter‐Leon Hagedoorn Netherlands
Seung Bum Park South Korea
Xiaoxi Yang relative to Marcin Kruszewski Poland Marcin Kruszewski's profile →
Citations per field
00.5×1.5×1.9×
Marcin Kruszewski · 1×
Citations per year

Countries citing papers authored by Xiaoxi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011241
2 2022165
3 2018161
4 2015133
5 2017131
6 2014105
7 201494
8 202091
9 201585
10 201377
11 202375
12 201771
13 202169
14 202166
15 201364
16 201963
17 201961
18 200461
19 201459
20 202159

About Xiaoxi Yang

Xiaoxi Yang is a scholar working on Health, Toxicology and Mutagenesis, Materials Chemistry, Molecular Biology, Physiology and Biomedical Engineering, having authored 142 papers that have together received 3.8k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (21 papers), Toxic Organic Pollutants Impact (10 papers), Hemoglobinopathies and Related Disorders (9 papers), Iron Metabolism and Disorders (6 papers), Pulmonary Hypertension Research and Treatments (6 papers), Meat and Animal Product Quality (6 papers), Luminescence and Fluorescent Materials (6 papers) and Biosensors and Analytical Detection (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (538 citations), Pollution (376 citations), Genetics (258 citations), Hematology (215 citations) and Biomedical Engineering (753 citations). Xiaoxi Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guibin Jiang, Sergey S. Shevkoplyas, Qunfang Zhou, Omid Forouzan, Zhendong Sun, Yu Tang, Qian S. Liu, Julie Kanter, Jing Cao and Nathaniel Z. Piety. Their work appears in journals such as Environmental Science & Technology, The Science of The Total Environment, Journal of Hazardous Materials, PLoS ONE 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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