Xiaobo Xia

3.3k citations
137 papers · 2.4k indexed · h-index 26

Xiaobo Xia

129 papers receiving 2.3k citations

Peers

Xiaobo Xia
Comparison fields: 5 of 112
  • Ophthalmology 773
  • Cancer Research 490
  • Radiology, Nuclear Medicine and Imaging 509
  • Molecular Biology 1.3k
  • Neurology 109
Replace Jeremy M. Sivak with:
Jeremy M. Sivak Canada
Wai Kit Chu Hong Kong
Lixia Lü China
Paloma B. Liton United States
Debasish Sinha United States
Yao Li China
Xuyang Liu China
M. Díaz-Llopis Spain
Yusuke Murakami Japan
Dan Li China
Xiaobo Xia relative to Jeremy M. Sivak Canada Jeremy M. Sivak's profile →
Citations per field
00.5×3.4×
Jeremy M. Sivak · 1×
Citations per year

Countries citing papers authored by Xiaobo Xia

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20255
4 20244
5 20244
6 20230
7 20232
8 20223
9 20208
10 201928
11 201950
12 201830
13 201610
14
Implantable collamer lens for high myopia: assessment of visual quality after implantation
20160
15 201522
16
[HIF-1α siRNA reduces retinal neovascularization in a mouse model of retinopathy of prematurity].
20112
17 200823
18 20079
19
The inhibition effect of HIF-1α siRNA on VEGF mRNA expression in vitro
20071
20 200416

About Xiaobo Xia

Xiaobo Xia is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 137 papers that have together received 2.4k indexed citations. Recurring topics across this work include Retinal Development and Disorders (33 papers), Glaucoma and retinal disorders (32 papers), Retinal Diseases and Treatments (28 papers), Corneal surgery and disorders (20 papers), Intraocular Surgery and Lenses (13 papers), Retinopathy of Prematurity Studies (12 papers), Corneal Surgery and Treatments (9 papers) and Ophthalmology and Visual Impairment Studies (7 papers). The work is most often cited by research in Ophthalmology (773 citations), Cancer Research (490 citations) and Radiology, Nuclear Medicine and Imaging (509 citations). Xiaobo Xia has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Andrew L. Kung, Siqi Xiong, Weitao Song, Madeleine E. Lemieux, Shuhong Wang, Jason S. Carroll, Myles Brown, Wěi Li, Dan Ji and Haibo Li. Their work appears in journals such as Journal of Cellular Physiology, BMC Ophthalmology, Medicine, PLoS ONE and Experimental Eye Research.

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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