Yu Xia

2.0k citations
91 papers · 1.4k · 1 hit paper · h-index 21

Impact in

Papers in

Yu Xia

84 papers receiving 1.4k citations

Yu Xia's Hit Papers

State-of-the-art review of dark tea: From chemistry to health benefits 2021 · 196 citations
1960+1+3Years since publication50100150

Peers

Yu Xia
Comparison fields: 5 of 127
  • Endocrinology, Diabetes and Metabolism 329
  • Biochemistry 118
  • Biological Psychiatry 38
  • Pathology and Forensic Medicine 240
  • Hepatology 94
Replace Heidar Tavilani with:
Heidar Tavilani Iran
Dragana Nikolić Italy
Ken‐ichi Fujita Japan
Simona Bartimoccia Italy
Marina Giovannini Italy
Bianca M. Arendt Canada
Daisuke Kadowaki Japan
Montserrat Cofán Spain
Angelo Maria Patti Italy
Rainer Klauke Germany
Yu Xia relative to Heidar Tavilani Iran Heidar Tavilani's profile →
Citations per field
00.5×
Heidar Tavilani · 1×
Citations per year

Countries citing papers authored by Yu Xia

Since Specialization
Citations

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

Fields of papers citing papers by Yu Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
State-of-the-art review of dark tea: From chemistry to health benefits
Hit paper breakdown →
2021196
2 202097
3 201783
4 200854
5 201847
6 201747
7 202144
8 202043
9 201441
10 202041
11 201035
12 202134
13 201932
14 202131
15 201128
16 201426
17 201924
18 201424
19 202222
20 200622

About Yu Xia

Yu Xia is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 91 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (26 papers), Thyroid and Parathyroid Surgery (9 papers), Parathyroid Disorders and Treatments (5 papers), Phytochemicals and Antioxidant Activities (4 papers), Mechanical Circulatory Support Devices (3 papers), Head and Neck Anomalies (3 papers), Transplantation: Methods and Outcomes (3 papers) and Tea Polyphenols and Effects (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (329 citations), Biochemistry (118 citations), Biological Psychiatry (38 citations), Pathology and Forensic Medicine (240 citations) and Hepatology (94 citations). Yu Xia has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuxin Jiang, Ren‐You Gan, Ding‐Tao Wu, Hongyan Liu, Bo Zhang, Xingjian Lai, Fangjun Lin, Hang Li, Xiaoyi Li and Xinlin Wei. Their work appears in journals such as Cancer Imaging, Medicine, European Journal of Surgical Oncology, PLoS ONE and European Journal of Radiology.

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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