This map shows the geographic impact of Meng C. Lin'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 Meng C. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng C. Lin more than expected).
This network shows the impact of papers produced by Meng C. Lin. 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 Meng C. Lin. The network helps show where Meng C. Lin may publish in the future.
Co-authorship network of co-authors of Meng C. Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Meng C. Lin.
A scholar is included among the top collaborators of Meng C. Lin based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Meng C. Lin. Meng C. Lin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lin, Meng C. & Tatyana F. Svitova. (2019). Can proteins reduce evaporation through tear-lipid films?. Investigative Ophthalmology & Visual Science. 60(9). 4177–4177.1 indexed citations
10.
Svitova, Tatyana F. & Meng C. Lin. (2018). Tear-lipid films: decoding enigma of “water-evaporation barrier” by studying model-lipid films in vitro. Investigative Ophthalmology & Visual Science. 59(9). 4955–4955.2 indexed citations
Yeh, Thao N. & Meng C. Lin. (2016). Isotretinoin Study: Ocular Surface Comparison between Exposed and Unexposed Groups. Investigative Ophthalmology & Visual Science. 57(12). 2856–2856.1 indexed citations
13.
Svitova, Tatyana F. & Meng C. Lin. (2014). Thick Human Tear Lipid Films: Effect of Lipids Interaction with Model Tear Proteins on Interfacial Properties.. Investigative Ophthalmology & Visual Science. 55(13). 41–41.1 indexed citations
14.
Graham, Andrew D., et al.. (2013). Factors in Contact Lens Symptoms. Optometry and Vision Science. 91(2). 133–141.45 indexed citations
15.
Yeh, Thao N., et al.. (2013). Relationships among Tear Film Stability, Tear Osmolarity, Corneal Staining History, and Dryness Symptoms. Investigative Ophthalmology & Visual Science. 54(15). 4332–4332.2 indexed citations
16.
Svitova, Tatyana F. & Meng C. Lin. (2012). Interfacial Properties Of Whole Human Tears, Human Meibomian Lipids, And Tear Lipids Extracted From Schirmer Strips. Investigative Ophthalmology & Visual Science. 53(14). 617–617.2 indexed citations
17.
Svitova, Tatyana F. & Meng C. Lin. (2008). The Effect of Lens-Care Solutions on Reconstituted ex vivo Lipids Rheological Behavior and Interaction With Model Tear Proteins. Investigative Ophthalmology & Visual Science. 49(13). 4864–4864.1 indexed citations
18.
Graham, Andrew D., et al.. (2008). Subjective Ratings of Comfort and Dryness vs. Clinical Evaluation of Lens Performance and Ocular Response to Silicone Hydrogel Lenses: Evidence From a Multi-Study Database. Investigative Ophthalmology & Visual Science. 49(13). 4833–4833.1 indexed citations
19.
Yeh, Thao N., et al.. (2006). Effects of 30–Day Continuous Wear With Silicone Hydrogel Lenses on Corneal Epithelial Barrier Function. Investigative Ophthalmology & Visual Science. 47(13). 109–109.1 indexed citations
20.
Lin, Meng C., et al.. (2006). Assessment Of Pre–Lens Tear–Film Stability By Slit–lamp Examination, Placido Ring Reflection, IBUT, And Advancing Contacting Angles: Do They Correlate?. Investigative Ophthalmology & Visual Science. 47(13). 95–95.2 indexed citations
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.