Robin F. Chan

38 total papers · 1.5k total citations
23 papers, 892 citations indexed

About

Robin F. Chan is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Robin F. Chan has authored 23 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Genetics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Robin F. Chan's work include Epigenetics and DNA Methylation (16 papers), Genetic Associations and Epidemiology (6 papers) and Genetic Syndromes and Imprinting (6 papers). Robin F. Chan is often cited by papers focused on Epigenetics and DNA Methylation (16 papers), Genetic Associations and Epidemiology (6 papers) and Genetic Syndromes and Imprinting (6 papers). Robin F. Chan collaborates with scholars based in United States, Netherlands and Canada. Robin F. Chan's co-authors include Karolina A. Åberg, Edwin J. C. G. van den Oord, Andrey A. Shabalin, William Copeland, Jennifer Hinesley, Lilly Shanahan, John A. Fairbank, E. Jane Costello, Min Zhao and Shaunna L. Clark and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Robin F. Chan

23 papers receiving 881 citations

Hit Papers

Association of Childhood ... 2018 2026 2020 2023 2018 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robin F. Chan 378 303 124 124 116 23 892
Christiane Ziegler 288 0.8× 312 1.0× 106 0.9× 113 0.9× 38 0.3× 29 860
Benjamin Hing 394 1.0× 137 0.5× 100 0.8× 138 1.1× 120 1.0× 29 921
Jeffrey Gross 363 1.0× 146 0.5× 112 0.9× 118 1.0× 124 1.1× 20 729
Annick Salzmann 366 1.0× 316 1.0× 85 0.7× 214 1.7× 214 1.8× 17 942
Harinder K. Sandhu 362 1.0× 276 0.9× 85 0.7× 203 1.6× 105 0.9× 20 990
Kristina B. Mercer 343 0.9× 323 1.1× 92 0.7× 70 0.6× 95 0.8× 17 967
Natalie Weder 183 0.5× 311 1.0× 48 0.4× 57 0.5× 143 1.2× 10 732
Helena Palma‐Gudiel 317 0.8× 213 0.7× 79 0.6× 82 0.7× 290 2.5× 28 838
Mariya Gonik 230 0.6× 165 0.5× 116 0.9× 75 0.6× 135 1.2× 15 891
Gerard van Grootheest 229 0.6× 164 0.5× 127 1.0× 108 0.9× 34 0.3× 26 780

Countries citing papers authored by Robin F. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Robin F. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robin F. 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 Robin F. Chan. The network helps show where Robin F. Chan may publish in the future.

Co-authorship network of co-authors of Robin F. Chan

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

All Works

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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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