Xiaohui Yu

3.0k citations
37 papers · 1.3k · h-index 17

Impact in

Papers in

Xiaohui Yu

37 papers receiving 1.3k citations

Peers

Xiaohui Yu
Comparison fields: 5 of 106
  • Endocrinology, Diabetes and Metabolism 861
  • Obstetrics and Gynecology 98
  • Endocrine and Autonomic Systems 63
  • Pediatrics, Perinatology and Child Health 156
  • Pathology and Forensic Medicine 105
Replace Helen Mason with:
Helen Mason United Kingdom
Stephen Franks United Kingdom
Oscar Levalle Argentina
Marianne Hope Abel Norway
Daria Lizneva United States
T. Rabe Germany
R. Jeffrey Chang United States
John L. Kirkland United States
Wang Hong China
Michael Sator Austria
Xiaohui Yu relative to Helen Mason United Kingdom Helen Mason's profile →
Citations per field
00.5×2.6×
Helen Mason · 1×
Citations per year

Countries citing papers authored by Xiaohui Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009322
2 2016223
3 2008134
4 201569
5 201357
6 201054
7 201654
8 200736
9 201433
10 201829
11 201824
12 202023
13 202120
14 201519
15 201919
16 201319
17 202218
18 201116
19 202115
20 202115

About Xiaohui Yu

Xiaohui Yu is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (14 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Biomarkers in Disease Mechanisms (2 papers), Galectins and Cancer Biology (2 papers), Glycosylation and Glycoproteins Research (2 papers), Antibiotic Resistance in Bacteria (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (861 citations), Obstetrics and Gynecology (98 citations), Endocrine and Autonomic Systems (63 citations), Pediatrics, Perinatology and Child Health (156 citations) and Pathology and Forensic Medicine (105 citations). Xiaohui Yu has collaborated with scholars based in China, Canada and Czechia. Frequent co-authors include Weiping Teng, Zhongyan Shan, Chenling Fan, Xiaochun Teng, Weiwei Wang, Jinyuan Mao, Yushu Li, Yanyan Chen, Chenyan Li and Yang Liu. Their work appears in journals such as Thyroid, The Journal of Clinical Endocrinology & Metabolism, Immunobiology, Molecular Neurobiology and Clinical Endocrinology.

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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