Connie D. Cao

37 total papers · 586 total citations
19 papers, 430 citations indexed

About

Connie D. Cao is a scholar working on Molecular Biology, Obstetrics and Gynecology and Surgery. According to data from OpenAlex, Connie D. Cao has authored 19 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Obstetrics and Gynecology and 4 papers in Surgery. Recurrent topics in Connie D. Cao's work include Uterine Myomas and Treatments (4 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Anesthesia and Pain Management (2 papers). Connie D. Cao is often cited by papers focused on Uterine Myomas and Treatments (4 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Anesthesia and Pain Management (2 papers). Connie D. Cao collaborates with scholars based in United States, China and Australia. Connie D. Cao's co-authors include Michael McCauley, John M. Pascal, Amanda A. Riccio, Jennine M. Dawicki-McKenna, Jamie E. DeNizio, Jamin D. Steffen, Marie-France Langelier, Kelly R. Karch, Ben E. Black and Qinkun Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Cancer Research.

In The Last Decade

Connie D. Cao

18 papers receiving 428 citations

Author Peers

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

Author Last Decade Papers Cites
Connie D. Cao 240 228 97 72 52 19 430
Xuan Jiang 248 1.0× 183 0.8× 61 0.6× 18 0.3× 9 0.2× 16 459
Lianmei Zhang 137 0.6× 182 0.8× 53 0.5× 11 0.2× 6 0.1× 26 474
Ling Han 190 0.8× 107 0.5× 120 1.2× 10 0.1× 13 0.3× 28 442
Yixi Wu 68 0.3× 172 0.8× 55 0.6× 28 0.4× 36 0.7× 27 368
Li Wu 129 0.5× 86 0.4× 67 0.7× 11 0.2× 6 0.1× 18 368
Ling-juan Gao 78 0.3× 287 1.3× 105 1.1× 6 0.1× 10 0.2× 23 452
Alessandro Barbarulo 156 0.7× 220 1.0× 179 1.8× 16 0.2× 32 0.6× 15 452
Hyun Yang Yeo 146 0.6× 100 0.4× 28 0.3× 15 0.2× 31 0.6× 21 379
Cheng-Chung Huang 67 0.3× 106 0.5× 65 0.7× 23 0.3× 6 0.1× 19 380
Daniel O. Koralek 242 1.0× 159 0.7× 32 0.3× 9 0.1× 4 0.1× 19 442

Countries citing papers authored by Connie D. Cao

Since Specialization
Citations

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

Fields of papers citing papers by Connie D. Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connie D. Cao

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