Connie Chau

15 total papers · 684 total citations
12 papers, 514 citations indexed

About

Connie Chau is a scholar working on Pathology and Forensic Medicine, Small Animals and Cell Biology. According to data from OpenAlex, Connie Chau has authored 12 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 6 papers in Small Animals and 3 papers in Cell Biology. Recurrent topics in Connie Chau's work include Spinal Cord Injury Research (8 papers), Veterinary Orthopedics and Neurology (6 papers) and Zebrafish Biomedical Research Applications (3 papers). Connie Chau is often cited by papers focused on Spinal Cord Injury Research (8 papers), Veterinary Orthopedics and Neurology (6 papers) and Zebrafish Biomedical Research Applications (3 papers). Connie Chau collaborates with scholars based in Canada and United States. Connie Chau's co-authors include Serge Rossignol, Hugues Barbeau, Edna Brustein, Nathalie Giroux, Marc Bélanger, Trevor Drew, H. Barbeau, Tomás A. Reader, Laurent J. Bouyer and Larry M. Jordan and has published in prestigious journals such as Journal of Neurophysiology, Scientific Reports and Annals of the New York Academy of Sciences.

In The Last Decade

Connie Chau

12 papers receiving 505 citations

Author Peers

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

Author						Papers	Cites
Connie Chau	325	125	106	96	77	12	514
Nathalie Giroux	377 1.2×	184 1.5×	158 1.5×	90 0.9×	69 0.9×	14	611
Hugo Delivet-Mongrain	382 1.2×	93 0.7×	77 0.7×	107 1.1×	61 0.8×	16	482
M Bélanger	239 0.7×	73 0.6×	59 0.6×	85 0.9×	221 2.9×	23	606
Sarah C. Strand	304 0.9×	143 1.1×	28 0.3×	54 0.6×	57 0.7×	10	507
Samuel Gelfan	173 0.5×	188 1.5×	50 0.5×	33 0.3×	66 0.9×	15	599
J.L. Story	176 0.5×	92 0.7×	35 0.3×	50 0.5×	32 0.4×	18	479
M J Angel	155 0.5×	113 0.9×	134 1.3×	31 0.3×	246 3.2×	6	531
R. Luke Harris	199 0.6×	121 1.0×	53 0.5×	10 0.1×	77 1.0×	12	499
Yann Thibaudier	265 0.8×	29 0.2×	117 1.1×	122 1.3×	211 2.7×	21	468
Marie‐France Hurteau	249 0.8×	35 0.3×	108 1.0×	111 1.2×	204 2.6×	19	447

Countries citing papers authored by Connie Chau

Since Specialization

Citations

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

Fields of papers citing papers by Connie Chau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connie Chau

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