Ada J. S. Chan

2.1k total citations
7 papers, 212 citations indexed

About

Ada J. S. Chan is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Ada J. S. Chan has authored 7 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Cognitive Neuroscience. Recurrent topics in Ada J. S. Chan's work include Genetics and Neurodevelopmental Disorders (4 papers), Genomics and Rare Diseases (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Ada J. S. Chan is often cited by papers focused on Genetics and Neurodevelopmental Disorders (4 papers), Genomics and Rare Diseases (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Ada J. S. Chan collaborates with scholars based in Canada, United Arab Emirates and Brazil. Ada J. S. Chan's co-authors include Stephen W. Scherer, Ryan K. C. Yuen, Christian R. Marshall, Giovanna Pellecchia, Susan Walker, J. Andrew Whitney, Jeffrey R. MacDonald, Miriam S. Reuter, Daniele Merico and Bhooma Thiruvahindrapuram and has published in prestigious journals such as The American Journal of Human Genetics, Human Genetics and European Journal of Human Genetics.

In The Last Decade

Ada J. S. Chan

7 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ada J. S. Chan Canada 5 158 103 38 29 18 7 212
Simon Durand France 4 83 0.5× 81 0.8× 27 0.7× 46 1.6× 9 0.5× 6 190
Ping Yee Billie Au Canada 9 121 0.8× 119 1.2× 17 0.4× 14 0.5× 7 0.4× 21 216
Christina N. Vallianatos United States 6 194 1.2× 296 2.9× 29 0.8× 27 0.9× 9 0.5× 8 362
Yoko Hiraki Japan 10 131 0.8× 97 0.9× 11 0.3× 14 0.5× 18 1.0× 17 219
Susan M. Hiatt United States 9 86 0.5× 152 1.5× 18 0.5× 14 0.5× 20 1.1× 12 256
Alfonso Caro‐Llopis Spain 7 132 0.8× 102 1.0× 13 0.3× 16 0.6× 8 0.4× 14 190
Neerja Katiyar United States 6 80 0.5× 103 1.0× 16 0.4× 25 0.9× 27 1.5× 7 214
Elga Fabia Belligni Italy 9 179 1.1× 114 1.1× 10 0.3× 23 0.8× 15 0.8× 16 256
Geoffrey Woods United Kingdom 7 132 0.8× 118 1.1× 10 0.3× 22 0.8× 13 0.7× 10 249
W.M. Wissink-Lindhout Netherlands 4 105 0.7× 159 1.5× 76 2.0× 19 0.7× 10 0.6× 4 243

Countries citing papers authored by Ada J. S. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Ada J. S. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ada J. S. Chan. 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 Ada J. S. Chan. The network helps show where Ada J. S. Chan may publish in the future.

Co-authorship network of co-authors of Ada J. S. Chan

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

All Works

7 of 7 papers shown
1.
Costa, Claudia Ismania Samogy, Gabriele da Silva Campos, Marília O. Scliar, et al.. (2023). Three generation families: Analysis of de novo variants in autism. European Journal of Human Genetics. 31(9). 1017–1022. 3 indexed citations
2.
Ding, Qiliang, Roozbeh Manshaei, Brett Trost, et al.. (2022). SCIP: software for efficient clinical interpretation of copy number variants detected by whole-genome sequencing. Human Genetics. 142(2). 201–216. 3 indexed citations
3.
Chan, Ada J. S., Cheryl Cytrynbaum, Ny Hoang, et al.. (2019). Expanding the neurodevelopmental phenotypes of individuals with de novo KMT2A variants. npj Genomic Medicine. 4(1). 9–9. 29 indexed citations
4.
Costa, Claudia Ismania Samogy, Gabriele da Silva Campos, Marília O. Scliar, et al.. (2019). Meta‐Analyses Support Previous and Novel Autism Candidate Genes: Outcomes of an Unexplored Brazilian Cohort. Autism Research. 13(2). 199–206. 25 indexed citations
5.
Trost, Brett, Susan Walker, Zhuozhi Wang, et al.. (2018). A Comprehensive Workflow for Read Depth-Based Identification of Copy-Number Variation from Whole-Genome Sequence Data. The American Journal of Human Genetics. 102(1). 142–155. 112 indexed citations
6.
Uddin, Mohammed, Marc Woodbury‐Smith, Ada J. S. Chan, et al.. (2018). Genomic Context Analysis of de Novo STXBP1 Mutations Identifies Evidence of Splice Site DNA-Motif Associated Hotspots. G3 Genes Genomes Genetics. 8(4). 1115–1118. 5 indexed citations
7.
Uddin, Mohammed, Marc Woodbury‐Smith, Ada J. S. Chan, et al.. (2017). Germline and somatic mutations in STXBP1 with diverse neurodevelopmental phenotypes. Neurology Genetics. 3(6). e199–e199. 35 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026