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 Paul N. Baird'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 Paul N. Baird with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul N. Baird more than expected).
This network shows the impact of papers produced by Paul N. Baird. 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 Paul N. Baird. The network helps show where Paul N. Baird may publish in the future.
Co-authorship network of co-authors of Paul N. Baird
This figure shows the co-authorship network connecting the top 25 collaborators of Paul N. Baird.
A scholar is included among the top collaborators of Paul N. Baird 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 Paul N. Baird. Paul N. Baird is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Benke, Kurt K., et al.. (2020). Understanding the uncertainties in modelling the growth of geographic atrophy in age-related macular degeneration. Investigative Ophthalmology & Visual Science. 61(7). 2986–2986.2 indexed citations
6.
Arnold, Jennifer, Caroline M. Markey, Paul N. Baird, et al.. (2015). BASELINE CHARACTERISTICS OF THE FLUID STUDY PATIENTS: A RANDOMISED CLINICAL TRIAL INVESTIGATING THE NEED FOR COMPLETE RESOLUTION OF SUB-RETINAL FLUID (SRF) IN RANIBIZUMAB-TREATED PATIENTS WITH NEOVASCULAR AGE-RELATED MACULAR DEGENERATION (NAMD) USING A TREAT AND EXTEND (T&E) REGIMEN. Clinical and Experimental Ophthalmology. 43.1 indexed citations
Kaur, Inderjeet, Stuart Cantsilieris, Andrea J. Richardson, et al.. (2013). Association of the del443ins54 at the ARMS2 locus in Indian and Australian cohorts with age-related macular degeneration.. PubMed. 19. 822–8.7 indexed citations
9.
Abedi, Farshad, et al.. (2012). Gene Variants in the HTRA1 and ARMS2 genes and Outcome of Anti-VEGF Treatment in Neovascular AMD. Investigative Ophthalmology & Visual Science. 53(14). 2931–2931.2 indexed citations
Baird, Paul N., Mohamed Dirani, Andrea J. Richardson, et al.. (2011). An Epigenetic Study of Monozygotic Twin Pairs Discordant for Birth-Weight. Investigative Ophthalmology & Visual Science. 52(14). 3310–3310.1 indexed citations
12.
Wickremasinghe, Sanj, Jing Xie, Luba Robman, et al.. (2010). VARIANTS IN THE APOE GENE ARE ASSOCIATED WITH IMPROVED TREATMENT OUTCOME FOLLOWING ANTI-VEGF THERAPY FOR NEOVASCULAR AMD. Clinical and Experimental Ophthalmology. 38.3 indexed citations
Dirani, Mohamed, et al.. (2007). Discordant Unilateral Myopia in Adult Female Monozygotic Twins. 39(1). 17.2 indexed citations
15.
Robman, Liubov D., Paul N. Baird, Andrea J. Richardson, et al.. (2007). Alleles of the Y402H Variant of the Complement Factor H (CFH) Gene and Progression of Age Related Macular Degeneration (AMD). Investigative Ophthalmology & Visual Science. 48(13). 3235–3235.1 indexed citations
Baird, Paul N., et al.. (2002). Association Studies of the Alleles of the Apolipoprotein (ApoE) Gene and Age Related Macular Degeneration (AMD). Investigative Ophthalmology & Visual Science. 43(13). 2833–2833.1 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.