Ningli Wang

17.3k citations
125 papers · 2.0k · h-index 25

Impact in

Papers in

Ningli Wang

117 papers receiving 2.0k citations

Peers

Ningli Wang
Comparison fields: 5 of 130
  • Ophthalmology 1.3k
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Epidemiology 979
  • Neurology 61
  • Health Informatics 9
Replace Mina Torres with:
Mina Torres United States
Pei‐Chang Wu Taiwan
Maria Vittoria Cicinelli Italy
Praveen J. Patel United Kingdom
Jau‐Der Ho Taiwan
Liang Xu China
Donghyun Jee South Korea
Richard Mills Australia
Paul R. Healey Australia
Kah‐Guan Au Eong Singapore
Ningli Wang relative to Mina Torres United States Mina Torres's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ningli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ningli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020147
2 2009128
3 2013126
4 2015111
5 201592
6 201977
7 201476
8 201449
9 202145
10 201845
11 202345
12 201142
13 201937
14 201737
15
Multiple gene polymorphisms analysis revealed a different profile of genetic polymorphisms of primary open-angle glaucoma in northern Chinese.
200936
16 201531
17 201929
18 201228
19 200728
20
Epidemiology of hospitalized pediatric glaucoma patients in Beijing Tongren Hospital.
200928

About Ningli Wang

Ningli Wang is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Molecular Biology and Pathology and Forensic Medicine, having authored 125 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (58 papers), Retinal Diseases and Treatments (47 papers), Ophthalmology and Visual Impairment Studies (38 papers), Corneal surgery and disorders (34 papers), Retinal Imaging and Analysis (20 papers), Retinal and Optic Conditions (11 papers), Retinal Development and Disorders (10 papers) and Intraocular Surgery and Lenses (8 papers). The work is most often cited by research in Ophthalmology (1.3k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Epidemiology (979 citations), Neurology (61 citations) and Health Informatics (9 citations). Ningli Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shi‐Ming Li, Luo-Ru Liu, Meng‐Tian Kang, Mayinuer Yusufu, Kai Cao, Shanshan Wu, Jost B. Jonas, Siyan Zhan, Siyuan Li and Yuanbo Liang. Their work appears in journals such as Investigative Ophthalmology & Visual Science, British Journal of Ophthalmology, Graefe s Archive for Clinical and Experimental Ophthalmology, Science China Life Sciences and Ophthalmic Epidemiology.

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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