Xiaoling Wan

1.1k citations
44 papers · 638 · h-index 14

Impact in

Papers in

    • Retinal Development and Disorders 9
    • Epigenetics and DNA Methylation 3
    • RNA modifications and cancer 3
    • CRISPR and Genetic Engineering 3
    • Retinal Diseases and Treatments 4

Xiaoling Wan

43 papers receiving 628 citations

Peers

Xiaoling Wan
Comparison fields: 5 of 85
  • Ophthalmology 65
  • Cancer Research 111
  • Molecular Biology 410
  • Immunology 119
  • Neurology 17
Replace Katie Binley with:
Katie Binley United Kingdom
Kyu‐Seon Oh United States
Sabine Suppmann Germany
Guoqiang Huang China
Thomas F. Dyrlund Denmark
Kristina Mayer Germany
Risa Sato Japan
Ramesh C. Kovi United States
Brian E. Fee United States
Xiaoling Wan relative to Katie Binley United Kingdom Katie Binley's profile →
Citations per field
00.5×6.4×
Katie Binley · 1×
Citations per year

Countries citing papers authored by Xiaoling Wan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201779
2 201357
3 201553
4 202151
5 201847
6 202335
7 201828
8 202322
9 201522
10 202122
11 201416
12 201616
13 201915
14 201415
15 201912
16 201212
17 202111
18 202010
19 201610
20 202310

About Xiaoling Wan

Xiaoling Wan is a scholar working on Molecular Biology, Ophthalmology, Immunology, Ecology and Genetics, having authored 44 papers that have together received 638 indexed citations. Recurring topics across this work include Retinal Development and Disorders (9 papers), Cancer-related molecular mechanisms research (4 papers), Retinal Diseases and Treatments (4 papers), Marine animal studies overview (3 papers), interferon and immune responses (3 papers), Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Ophthalmology (65 citations), Cancer Research (111 citations), Molecular Biology (410 citations), Immunology (119 citations) and Neurology (17 citations). Xiaoling Wan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xiaodong Sun, Haibo Hu, Feima Wu, Lulu Liu, Yan Zhang, Xiaodan Ding, Min Gao, Yuwei Wang, Peipei Zhou and Jinsong Zheng. Their work appears in journals such as Antonie van Leeuwenhoek, Translational Vision Science & Technology, The FASEB Journal, BMC Ophthalmology and Nature Communications.

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.

Explore authors with similar magnitude of impact