Alan Kwong

16.2k total citations
9 papers, 144 citations indexed

About

Alan Kwong is a scholar working on Molecular Biology, Ophthalmology and Genetics. According to data from OpenAlex, Alan Kwong has authored 9 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Ophthalmology and 3 papers in Genetics. Recurrent topics in Alan Kwong's work include Retinal Diseases and Treatments (4 papers), Genetic Associations and Epidemiology (3 papers) and Retinal Imaging and Analysis (2 papers). Alan Kwong is often cited by papers focused on Retinal Diseases and Treatments (4 papers), Genetic Associations and Epidemiology (3 papers) and Retinal Imaging and Analysis (2 papers). Alan Kwong collaborates with scholars based in United States, Netherlands and Austria. Alan Kwong's co-authors include Gonçalo R. Abecasis, Henry J. Lin, Hyun Min Kang, Rinki Ratnapriya, Emily Y. Chew, Andrew P. Boughton, Peter VandeHaar, Anand Swaroop, Michael Boehnke and Kari Branham and has published in prestigious journals such as Bioinformatics, Ophthalmology and The American Journal of Human Genetics.

In The Last Decade

Alan Kwong

9 papers receiving 143 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alan Kwong United States 7 71 43 35 23 23 9 144
James J. O’Byrne Ireland 8 95 1.3× 81 1.9× 28 0.8× 16 0.7× 12 0.5× 24 174
Clara D. van Karnebeek Netherlands 9 97 1.4× 60 1.4× 15 0.4× 53 2.3× 4 0.2× 23 174
Bohdan Kousal Czechia 7 108 1.5× 17 0.4× 68 1.9× 11 0.5× 15 0.7× 30 136
Elena Alonso Spain 4 40 0.6× 26 0.6× 11 0.3× 3 0.1× 8 0.3× 10 89
Н Л Шеремет Russia 7 102 1.4× 10 0.2× 56 1.6× 21 0.9× 23 1.0× 51 163
Chelsea Chambers United States 6 40 0.6× 44 1.0× 5 0.1× 7 0.3× 2 0.1× 10 98
A. Kohlschuetter Germany 4 64 0.9× 15 0.3× 7 0.2× 16 0.7× 11 0.5× 4 145
Gustavo Charria-Ortiz United States 3 23 0.3× 15 0.3× 12 0.3× 4 0.2× 5 0.2× 4 187
Chris Rittey United Kingdom 9 76 1.1× 36 0.8× 4 0.1× 27 1.2× 3 0.1× 13 186
Benjamin M. Nash Australia 7 152 2.1× 38 0.9× 59 1.7× 1 0.0× 11 0.5× 17 200

Countries citing papers authored by Alan Kwong

Since Specialization
Citations

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

Fields of papers citing papers by Alan Kwong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Kwong

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Kwong. A scholar is included among the top collaborators of Alan Kwong 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 Alan Kwong. Alan Kwong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Zelinger, Lina, Tammy M. Martin, Jayshree Advani, et al.. (2023). Ultra-rare complement factor 8 coding variants in families with age-related macular degeneration. iScience. 26(4). 106417–106417. 5 indexed citations
2.
Kwong, Alan, Matthew Zawistowski, Lars G. Fritsche, et al.. (2023). Whole genome sequencing of 4,787 individuals identifies gene-based rare variants in age-related macular degeneration. Human Molecular Genetics. 33(4). 374–385. 5 indexed citations
3.
Yu, Ketian, Sayantan Das, Jonathon LeFaive, et al.. (2022). Meta-imputation: An efficient method to combine genotype data after imputation with multiple reference panels. The American Journal of Human Genetics. 109(6). 1007–1015. 16 indexed citations
4.
Kwong, Alan, Andrew P. Boughton, Peter VandeHaar, et al.. (2021). FIVEx: an interactive eQTL browser across public datasets. Bioinformatics. 38(2). 559–561. 22 indexed citations
5.
Ratnapriya, Rinki, İlhan E. Acar, Maartje J. Geerlings, et al.. (2020). Family-based exome sequencing identifies rare coding variants in age-related macular degeneration. Human Molecular Genetics. 29(12). 2022–2034. 24 indexed citations
6.
Pietraszkiewicz, Alexandra, Freekje van Asten, Alan Kwong, et al.. (2017). Association of Rare Predicted Loss-of-Function Variants in Cellular Pathways with Sub-Phenotypes in Age-Related Macular Degeneration. Ophthalmology. 125(3). 398–406. 10 indexed citations
7.
Chang, Ruey‐Kang R., et al.. (2014). Genetic Variants for Long QT Syndrome among Infants and Children from a Statewide Newborn Hearing Screening Program Cohort. The Journal of Pediatrics. 164(3). 590–595.e3. 14 indexed citations
8.
Vrieze, Scott, Stephen M. Malone, Uma Vaidyanathan, et al.. (2014). In search of rare variants: Preliminary results from whole genome sequencing of 1,325 individuals with psychophysiological endophenotypes. Psychophysiology. 51(12). 1309–1320. 21 indexed citations
9.
Lin, Henry J., Julie Neidich, Denise Salazar, et al.. (2009). Asymptomatic Maternal Combined Homocystinuria and Methylmalonic Aciduria (cblC) Detected through Low Carnitine Levels on Newborn Screening. The Journal of Pediatrics. 155(6). 924–927. 27 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.

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