Clarissa C. Yu

816 total citations
8 papers, 536 citations indexed

About

Clarissa C. Yu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Clarissa C. Yu has authored 8 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Clarissa C. Yu's work include Cardiac, Anesthesia and Surgical Outcomes (3 papers), Ultrasound in Clinical Applications (3 papers) and Melanoma and MAPK Pathways (3 papers). Clarissa C. Yu is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (3 papers), Ultrasound in Clinical Applications (3 papers) and Melanoma and MAPK Pathways (3 papers). Clarissa C. Yu collaborates with scholars based in Canada, United States and United Kingdom. Clarissa C. Yu's co-authors include Aayoung Hong, Xiangju Kong, Gatien Moriceau, Willy Hugo, Roger S. Lo, Antoni Ribas, Richard C. Koya, Hubing Shi, Douglas B. Johnson and Jeffrey A. Sosman and has published in prestigious journals such as Journal of Biological Chemistry, Journal of the American College of Cardiology and Cancer Cell.

In The Last Decade

Clarissa C. Yu

7 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Clarissa C. Yu Canada	5	450	258	86	80	65	8	536
Chenjing Xia China	4	439 1.0×	308 1.2×	70 0.8×	74 0.9×	56 0.9×	9	538
J. A. Sosman United States	13	403 0.9×	395 1.5×	75 0.9×	42 0.5×	54 0.8×	23	513
Martine B.W. Prinsen Netherlands	11	270 0.6×	151 0.6×	29 0.3×	52 0.7×	27 0.4×	19	456
Jill Piens United States	4	296 0.7×	214 0.8×	26 0.3×	81 1.0×	32 0.5×	7	395
Rempei Yanagawa Japan	7	328 0.7×	180 0.7×	29 0.3×	84 1.1×	22 0.3×	8	537
Lysiane Huber United States	6	273 0.6×	216 0.8×	30 0.3×	81 1.0×	20 0.3×	11	393
Josh Ballard United States	3	349 0.8×	184 0.7×	42 0.5×	81 1.0×	17 0.3×	3	468
Joe Lyssikatos United States	6	380 0.8×	207 0.8×	42 0.5×	87 1.1×	18 0.3×	8	502
Jason R. Todd Australia	7	245 0.5×	151 0.6×	42 0.5×	52 0.7×	52 0.8×	8	310
Mark Cockerill United Kingdom	7	415 0.9×	169 0.7×	31 0.4×	82 1.0×	29 0.4×	9	531

Countries citing papers authored by Clarissa C. Yu

Since Specialization

Citations

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

Fields of papers citing papers by Clarissa C. Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clarissa C. Yu. 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 Clarissa C. Yu. The network helps show where Clarissa C. Yu may publish in the future.

Co-authorship network of co-authors of Clarissa C. Yu

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Foroutan, Farid, Daniel Rayner, Heather J. Ross, et al.. (2023). Global Comparison of Readmission Rates for Patients With Heart Failure. Journal of the American College of Cardiology. 82(5). 430–444. 24 indexed citations

Almufleh, Aws, Eric Yu, Amer M. Johri, et al.. (2023). Evaluating Independent Echocardiography Interpretation Skills: A Novel Assessment Tool. Canadian Journal of Cardiology. 39(5). 693–696.

Yu, Clarissa C., et al.. (2022). Echocardiographic Interpretation Skills of Graduating Cardiology Trainees. Canadian Journal of Cardiology. 38(8). 1304–1306. 1 indexed citations

Yu, Clarissa C., et al.. (2021). ECHOCARDIOGRAPHIC COMPETENCE OF GRADUATING CANADIAN CARDIOLOGY TRAINEES. Journal of the American College of Cardiology. 77(18). 3052–3052. 1 indexed citations

Song, Chunying, Marco Piva, Lu Sun, et al.. (2017). Recurrent Tumor Cell–Intrinsic and –Extrinsic Alterations during MAPKi-Induced Melanoma Regression and Early Adaptation. Cancer Discovery. 7(11). 1248–1265. 109 indexed citations

Moriceau, Gatien, Willy Hugo, Aayoung Hong, et al.. (2015). Tunable-Combinatorial Mechanisms of Acquired Resistance Limit the Efficacy of BRAF/MEK Cotargeting but Result in Melanoma Drug Addiction. Cancer Cell. 27(2). 240–256. 237 indexed citations

Vashisht, Ajay A., Clarissa C. Yu, Tanu Sharma, Kevin Ro, & James A. Wohlschlegel. (2015). The Association of the Xeroderma Pigmentosum Group D DNA Helicase (XPD) with Transcription Factor IIH Is Regulated by the Cytosolic Iron-Sulfur Cluster Assembly Pathway. Journal of Biological Chemistry. 290(22). 14218–14225. 31 indexed citations

Shi, Hubing, Aayoung Hong, Xiangju Kong, et al.. (2013). A Novel AKT1 Mutant Amplifies an Adaptive Melanoma Response to BRAF Inhibition. Cancer Discovery. 4(1). 69–79. 133 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