Xiaowei Yang

2.2k citations
27 papers · 1.7k · h-index 20

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 4
    • Statistical Methods and Inference 4
    • Statistical Methods in Clinical Trials 2
    • Cervical and Thoracic Myelopathy 2

Xiaowei Yang

27 papers receiving 1.6k citations

Peers

Xiaowei Yang
Comparison fields: 5 of 98
  • Safety Research 231
  • Clinical Psychology 319
  • Cellular and Molecular Neuroscience 228
  • Pathology and Forensic Medicine 201
  • Toxicology 41
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Citations per field
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Citations per year

Countries citing papers authored by Xiaowei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004246
2 2002200
3 2000180
4 2003170
5 2006107
6 2000105
7 201892
8 200677
9 200866
10 202066
11 201259
12 202049
13 201844
14 200443
15 201135
16
The relation of acculturation to overweight, obesity, pre-diabetes and diabetes among U.S. Mexican-American women and men.
201233
17 201232
18 200428
19 201324
20 200823

About Xiaowei Yang

Xiaowei Yang is a scholar working on Statistics and Probability, Surgery, Pathology and Forensic Medicine, Clinical Psychology and Physiology, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (4 papers), Statistical Methods and Inference (4 papers), Spine and Intervertebral Disc Pathology (3 papers), Child Abuse and Trauma (2 papers), Statistical Methods in Clinical Trials (2 papers), Cervical and Thoracic Myelopathy (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Child Welfare and Adoption (2 papers). The work is most often cited by research in Safety Research (231 citations), Clinical Psychology (319 citations), Cellular and Molecular Neuroscience (228 citations), Pathology and Forensic Medicine (201 citations) and Toxicology (41 citations). Xiaowei Yang has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Steven Shoptaw, Erin Rotheram‐Fuller, Walter Ling, Thomas R. Belin, Bonnie T. Zima, Regina Bussing, James A. Peck, Cathy J. Reback, Sherry Larkins and Steven R. Forness. Their work appears in journals such as Drug and Alcohol Dependence, Statistics in Medicine, Addiction, Medicine and Journal of Child and Family Studies.

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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