Xia Gao

21 papers receiving 195 citations

Peers

Xia Gao
Comparison fields: 5 of 71
  • Sensory Systems 40
  • Immunology and Allergy 26
  • Speech and Hearing 24
  • Neurology 22
  • Cognitive Neuroscience 40
Replace Ali Safavi Naeini with:
Ali Safavi Naeini Iran
Metin Çeliker Türkiye
Davide Pisani Italy
Sami Melki United States
Kazuo Murai Japan
Emma Min Shuen Toh Singapore
Federica Zoccali Italy
Catherine Le Berre‐Scoul France
Ute Walliczek‐Dworschak Germany
Paul Goodyer Canada
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Citations per field
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Citations per year

Countries citing papers authored by Xia Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xia Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202141
2 201937
3 202123
4 202317
5 201416
6 201611
7 20217
8 20247
9 20246
10 20226
11 20185
12
[Expressions of HMGB1, MMP-2 and MMP-9 and prognostic alue in human laryngeal carcinoma].
20135
13 20244
14 20193
15
[Clinical significance of Stat3 and Cyclin D1 expression in laryngeal squamous cell carcinoma].
20113
16 20242
17
[Prevalence of abnormal ankle brachial index in Xinjiang adult population].
20112
18 20241
19 20251
20 20241

About Xia Gao

Xia Gao is a scholar working on Molecular Biology, Sensory Systems, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 21 papers that have together received 199 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (5 papers), Hearing Loss and Rehabilitation (3 papers), Vestibular and auditory disorders (3 papers), Ferroptosis and cancer prognosis (2 papers), Cancer-related molecular mechanisms research (2 papers), Aortic aneurysm repair treatments (2 papers), Cardiovascular Health and Disease Prevention (2 papers) and Noise Effects and Management (2 papers). The work is most often cited by research in Sensory Systems (40 citations), Immunology and Allergy (26 citations), Speech and Hearing (24 citations), Neurology (22 citations) and Cognitive Neuroscience (40 citations). Xia Gao has collaborated with scholars based in China and United States. Frequent co-authors include Xiaoyun Qian, Ao Li, Ling Lü, Yuanyuan Xu, Zheng Liang, Chenjie Yu, Xinyan Cui, Kaijian Wang, Maohua Wang and Jie Chen. Their work appears in journals such as Frontiers in Aging Neuroscience, Frontiers in Cardiovascular Medicine, Bioscience Reports, International Journal of Surgery and Journal of Materials Chemistry B.

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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