Catherine Ngo

59 total papers · 1.7k total citations
30 papers, 1.3k citations indexed

About

Catherine Ngo is a scholar working on Cognitive Neuroscience, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Catherine Ngo has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 8 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Catherine Ngo's work include Memory Processes and Influences (8 papers), Deception detection and forensic psychology (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Catherine Ngo is often cited by papers focused on Memory Processes and Influences (8 papers), Deception detection and forensic psychology (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Catherine Ngo collaborates with scholars based in United States, Japan and France. Catherine Ngo's co-authors include Farhoud Faraji, Yannick Doyon, Philip D. Gregory, Fyodor D. Urnov, Jeffrey C. Miller, Edward J. Rebar, Alan D. Snow, Toby Dylan Hocking, George E. Katibah and Jasmine M. McCammon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Diabetes.

In The Last Decade

Catherine Ngo

28 papers receiving 1.3k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Catherine Ngo 889 315 286 192 117 30 1.3k
Anne Harrington 1.1k 1.2× 236 0.7× 289 1.0× 120 0.6× 102 0.9× 20 1.5k
Felicitas Pröls 857 1.0× 223 0.7× 165 0.6× 105 0.5× 111 0.9× 55 1.5k
Soraya Hölper 1.2k 1.3× 580 1.8× 212 0.7× 151 0.8× 63 0.5× 22 1.8k
Petur H. Petersen 840 0.9× 187 0.6× 224 0.8× 104 0.5× 44 0.4× 31 1.3k
Kaye Suyama 1.4k 1.5× 520 1.7× 354 1.2× 94 0.5× 84 0.7× 22 1.8k
Manabu Tsuda 955 1.1× 286 0.9× 159 0.6× 163 0.8× 109 0.9× 39 1.5k
David J. Reiner 1.2k 1.3× 292 0.9× 167 0.6× 162 0.8× 98 0.8× 40 1.8k
G Bruns 746 0.8× 187 0.6× 220 0.8× 102 0.5× 62 0.5× 27 1.1k
Laura O’Hara 821 0.9× 265 0.8× 332 1.2× 120 0.6× 83 0.7× 37 1.7k
Dawn E. Watkins‐Chow 645 0.7× 229 0.7× 237 0.8× 162 0.8× 45 0.4× 37 1.1k

Countries citing papers authored by Catherine Ngo

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Ngo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Ngo

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Ngo. A scholar is included among the top collaborators of Catherine Ngo 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 Catherine Ngo. Catherine Ngo 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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