Lin Leng

825 citations
34 papers · 609 · h-index 12

Impact in

Papers in

Lin Leng

30 papers receiving 585 citations

Peers

Lin Leng
Comparison fields: 5 of 85
  • Ophthalmology 181
  • Radiology, Nuclear Medicine and Imaging 294
  • Neurology 103
  • Epidemiology 189
  • Developmental Neuroscience 18
Replace Haripriya Vittal Rao with:
Haripriya Vittal Rao United States
Ai Ling Wang United States
Juanjuan Wang China
Mingkai Lin China
Yukihiro Miwa Japan
Natalia Martínez‐Gil Spain
Qingjun Lu China
Beatriz Villarejo‐Zori Spain
Sankarathi Balaiya United States
Lin Leng relative to Haripriya Vittal Rao United States Haripriya Vittal Rao's profile →
Citations per field
00.5×2.6×
Haripriya Vittal Rao · 1×
Citations per year

Countries citing papers authored by Lin Leng

Since Specialization
Citations

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

Fields of papers citing papers by Lin Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016223
2 201449
3 198244
4 201843
5 197838
6 198128
7 198124
8 202122
9 202215
10 202113
11 201413
12 202412
13 202310
14 201910
15 20149
16 20149
17 20188
18 20246
19 20226
20 20235

About Lin Leng

Lin Leng is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Epidemiology, Public Health, Environmental and Occupational Health and Biomedical Engineering, having authored 34 papers that have together received 609 indexed citations. Recurring topics across this work include Corneal surgery and disorders (21 papers), Ophthalmology and Visual Impairment Studies (15 papers), Glaucoma and retinal disorders (12 papers), Intraocular Surgery and Lenses (10 papers), Ocular Surface and Contact Lens (5 papers), Optical Coherence Tomography Applications (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Ophthalmology (181 citations), Radiology, Nuclear Medicine and Imaging (294 citations), Neurology (103 citations), Epidemiology (189 citations) and Developmental Neuroscience (18 citations). Lin Leng has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include X Wang, Frank W. Putnam, Daniel Tétaert, Brigitte Debuire, Fan Lü, Dexi Zhu, Shenghai Huang, Meixiao Shen, Nobuhiro Takahashi and Xinting Liu. Their work appears in journals such as Eye & Contact Lens Science & Clinical Practice, Proceedings of the National Academy of Sciences, Contact Lens and Anterior Eye, PLoS ONE and Frontiers in 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.

Explore authors with similar magnitude of impact