Xiaoling Yan

427 citations
26 papers · 292 · h-index 10

Impact in

Papers in

Xiaoling Yan

23 papers receiving 291 citations

Peers

Xiaoling Yan
Comparison fields: 5 of 69
  • Animal Science and Zoology 59
  • Agronomy and Crop Science 32
  • Immunology 60
  • Cancer Research 42
  • Immunology and Allergy 15
Replace R. Miura with:
R. Miura Japan
Mythili Dileepan United States
Shadi Salloum United States
Oonagh T. Lynch United Kingdom
Jiaqi Li China
Farooq Riaz China
Dingding Xiong United States
Yunliang Yao China
Leticia T. Moreno Spain
Jinxin Ou China
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Citations per field
00.5×4.6×
R. Miura · 1×
Citations per year

Countries citing papers authored by Xiaoling Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201662
2 201645
3 201925
4 201922
5 202119
6 201915
7 202115
8 202210
9 20229
10 20139
11 20209
12 20139
13 20209
14 20158
15 20227
16
[The association between genetic polymorphisms of GSTM1, GSTT1, GSTP1 and susceptibility to laryngeal carcinoma from the Han people in Guangdong zone].
20116
17 20204
18 20234
19
Associations of polymorphisms of rs1015213 with primary angle closure glaucoma-recent evidence and a meta-analysis.
20151
20 20241

About Xiaoling Yan

Xiaoling Yan is a scholar working on Molecular Biology, Ophthalmology, Animal Science and Zoology, Immunology and Infectious Diseases, having authored 26 papers that have together received 292 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers), T-cell and B-cell Immunology (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Immune Response and Inflammation (3 papers), Glaucoma and retinal disorders (2 papers), Virus-based gene therapy research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Animal Science and Zoology (59 citations), Agronomy and Crop Science (32 citations), Immunology (60 citations), Cancer Research (42 citations) and Immunology and Allergy (15 citations). Xiaoling Yan has collaborated with scholars based in China, France and United States. Frequent co-authors include Wei Yu, Yunong Wu, Jinmin Zhao, Shanliang Zhong, Fangfang Chen, Haiyong Wang, Ningwei Zhao, Jinhai Tang, Wenbo Gao and Min Xu. Their work appears in journals such as Gene, Virology, Virus Research, Scientific Reports and Medicine.

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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