Xiaoling Wan

1.1k citations
56 papers · 865 · h-index 16

Impact in

Papers in

    • Retinal Diseases and Treatments 5
    • Retinal Development and Disorders 14
    • CRISPR and Genetic Engineering 4
    • RNA modifications and cancer 3
    • Epigenetics and DNA Methylation 3

Xiaoling Wan

54 papers receiving 851 citations

Peers

Xiaoling Wan
Comparison fields: 5 of 98
  • Ophthalmology 106
  • Cancer Research 120
  • Immunology 178
  • Molecular Biology 501
  • Ceramics and Composites 20
Replace Yuan Hu with:
Yuan Hu China
Akhil Varshney India
Seiichiro Takahashi Japan
Marie-Anne Germain Canada
Tahar Bouceba France
Yuzhen Pan United States
Song Mao China
Ke‐Ping Xu United States
Yukiko Sato Japan
Haruyasu Kohda Japan
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Citations per field
00.5×2×2.5×
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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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201786
2 201779
3 201367
4 201555
5 202152
6 202250
7 201849
8 202341
9 201830
10 201926
11 202323
12 202123
13 201522
14 201616
15 201416
16 201916
17 201415
18 201913
19 201213
20 202112

About Xiaoling Wan

Xiaoling Wan is a scholar working on Ophthalmology, Molecular Biology, Immunology, Cancer Research and Neurology, having authored 56 papers that have together received 865 indexed citations. Recurring topics across this work include Retinal Development and Disorders (14 papers), Retinal Diseases and Treatments (5 papers), CRISPR and Genetic Engineering (4 papers), Cancer-related molecular mechanisms research (4 papers), interferon and immune responses (4 papers), Marine animal studies overview (3 papers), RNA modifications and cancer (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Ophthalmology (106 citations), Cancer Research (120 citations), Immunology (178 citations), Molecular Biology (501 citations) and Ceramics and Composites (20 citations). Xiaoling Wan has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Xiaodong Sun, Feima Wu, Xiaodan Ding, Haibo Hu, Lulu Liu, Yan Zhang, Peipei Zhou, Jinsong Zheng, Min Gao and Mei Jiang. 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.

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