Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Anterior segment optical coherence tomography
2018308 citationsMani Baskaran, Jacqueline Chua et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Mani Baskaran'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 Mani Baskaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mani Baskaran more than expected).
This network shows the impact of papers produced by Mani Baskaran. 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 Mani Baskaran. The network helps show where Mani Baskaran may publish in the future.
Co-authorship network of co-authors of Mani Baskaran
This figure shows the co-authorship network connecting the top 25 collaborators of Mani Baskaran.
A scholar is included among the top collaborators of Mani Baskaran 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 Mani Baskaran. Mani Baskaran is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tun, Tin A., Mani Baskaran, Sourabh Sharma, et al.. (2016). Shape Changes of the Anterior Lamina Cribrosa in Healthy and Glaucoma Eyes following Acute Intraocular Pressure Elevations. Investigative Ophthalmology & Visual Science. 57(12). 3556–3556.
15.
Nongpiur, Monisha E., et al.. (2012). The Water Drinking Test And Its Relationship With Intraocular Pressure, Serum Osmolality And Choroidal Thickness In Fellow Eyes Of Acute Primary Angle Closure. Investigative Ophthalmology & Visual Science. 53(14). 5045–5045.1 indexed citations
16.
Cheng, Ching‐Yu, Tin Aung, Yingfeng Zheng, et al.. (2012). Intraocular Pressure and Central Corneal Thickness in a Multi-Ethnic Asian Population: The Singapore Epidemiology of Eye Disease (SEED) Study. Investigative Ophthalmology & Visual Science. 53(14). 6376–6376.1 indexed citations
17.
George, Ronnie, et al.. (2009). Determinants of glaucoma awareness and knowledge in urban Chennai. SHILAP Revista de lepidopterología.1 indexed citations
18.
Narayanaswamy, Arun, Lisandro M. Sakata, Raghavan Lavanya, et al.. (2009). Diagnostic Performance of Anterior Chamber Angle Measurements in Detecting Eyes at Risk for Angle Closure - An Anterior Segment OCT Study. Investigative Ophthalmology & Visual Science. 50(13). 3352–3352.1 indexed citations
19.
Baskaran, Mani, Paul Chew, Hon Tym Wong, et al.. (2007). Prophylactic Laser Iridotomy in Eyes With Narrow Drainage Angles: A Randomized Controlled Trial. Investigative Ophthalmology & Visual Science. 48(13). 3985–3985.2 indexed citations
20.
Kumaramanickavel, Govindasamy, Tin Aung, Naushin Waseem, et al.. (2005). Lack of Association of IVS8+4 C/T and IVS8+32 T/C Polymorphisms in the OPA1 Gene With Normal Tension Glaucoma in Patients From Singapore, India and Japan. Investigative Ophthalmology & Visual Science. 46(13). 3811–3811.4 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.