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.
This map shows the geographic impact of Peng T. Khaw'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 Peng T. Khaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng T. Khaw more than expected).
This network shows the impact of papers produced by Peng T. Khaw. 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 Peng T. Khaw. The network helps show where Peng T. Khaw may publish in the future.
Co-authorship network of co-authors of Peng T. Khaw
This figure shows the co-authorship network connecting the top 25 collaborators of Peng T. Khaw.
A scholar is included among the top collaborators of Peng T. Khaw 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 Peng T. Khaw. Peng T. Khaw is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Eastlake, Karen, Érika Carvalho de Aquino, Sin Ki Lai, et al.. (2020). Investigation of inflammatory cytokines on Muller cell expression of gliosis associated proteins.. Investigative Ophthalmology & Visual Science. 61(7). 696–696.1 indexed citations
6.
Chu, Colin J., Jiahui Wu, David A. Copland, et al.. (2019). Gene therapy for Glaucoma by CRISPR-Cas9 mediated disruption of Aquaporin 1 in the Ciliary Body. Investigative Ophthalmology & Visual Science. 60(9). 5120–5120.1 indexed citations
Sharma, Garima, Ashkan Khalili, Sahar Awwad, et al.. (2013). Freeze Drying to Develop a Bevacizumab-based Tablet for Ocular Implantation. Investigative Ophthalmology & Visual Science. 54(15). 1082–1082.1 indexed citations
9.
Khalili, Ashkan, Daniel Paull, Hala M. Fadda, et al.. (2011). A Novel Slow Release Solid Bevacizumab Tissue Tablet Prevents Scarring Following Experimental Glaucoma Filtration Surgery (GFS). Investigative Ophthalmology & Visual Science. 52(14). 1645–1645.1 indexed citations
10.
Fadda, Hala M., et al.. (2010). Understanding Changes in the Solid Phase Properties of Tissue Tablets on Exposure to Aqueous Media. Investigative Ophthalmology & Visual Science. 51(13). 5311–5311.1 indexed citations
11.
Brocchini, Stephen, et al.. (2008). A Novel Single Application Prolonged Release MMP Inhibitor Is Superior to Mitomycin in Preventing Scarring After Experimental Glaucoma Surgery. Investigative Ophthalmology & Visual Science. 49(13). 4538–4538.3 indexed citations
12.
Khaw, Peng T., et al.. (2007). Achieving the perfect postoperative conjunctiva. UCL Discovery (University College London).1 indexed citations
Cordeiro, M. Francesca, et al.. (2001). Objective assessment of changes at the optic nerve head in a rat model of glaucoma.. UCL Discovery (University College London).1 indexed citations
16.
Barton, Keith, Donald L. Budenz, Peng T. Khaw, & S. C. G. Tseng. (2001). Glaucoma filtration surgery using amniotic membrane transplantation.. PubMed. 42(8). 1762–8.58 indexed citations
17.
Marks, Guy B., et al.. (2000). A comparison of two grading systems for filtering blebs.. UCL Discovery (University College London).2 indexed citations
18.
Khaw, Peng T.. (1996). Animal models of wound healing: Lessons from the laboratory to the clinic. UCL Discovery (University College London).1 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.