James E. J. Bedard

688 total citations
10 papers, 196 citations indexed

About

James E. J. Bedard is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, James E. J. Bedard has authored 10 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in James E. J. Bedard's work include BRCA gene mutations in cancer (3 papers), Genetic factors in colorectal cancer (3 papers) and Genomic variations and chromosomal abnormalities (2 papers). James E. J. Bedard is often cited by papers focused on BRCA gene mutations in cancer (3 papers), Genetic factors in colorectal cancer (3 papers) and Genomic variations and chromosomal abnormalities (2 papers). James E. J. Bedard collaborates with scholars based in United States, Canada and Netherlands. James E. J. Bedard's co-authors include Stephanie M. Ware, Allyson Cole-Strauss, Tsuneo Ferguson, David E. Millhorn, Yong Yuan, Zachary Spicer, Peterson Pathrose, Karen A. Seta, Gang Lü and Arthur W. A. M. de Cock and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and Human Molecular Genetics.

In The Last Decade

James E. J. Bedard

10 papers receiving 192 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James E. J. Bedard United States	7	112	46	41	31	23	10	196
Ja-Rang Lee South Korea	12	208 1.9×	42 0.9×	58 1.4×	18 0.6×	4 0.2×	31	348
Xinjian Li China	9	249 2.2×	182 4.0×	82 2.0×	15 0.5×	8 0.3×	20	346
Roel Hermsen Netherlands	6	114 1.0×	24 0.5×	128 3.1×	10 0.3×	6 0.3×	6	278
Nadine Botherel France	11	94 0.8×	46 1.0×	54 1.3×	4 0.1×	29 1.3×	13	192
David Angeles-Albores United States	8	158 1.4×	12 0.3×	34 0.8×	11 0.4×	3 0.1×	12	406
Carlos DeOcesano-Pereira Brazil	9	186 1.7×	112 2.4×	26 0.6×	16 0.5×	2 0.1×	21	296
Piotr Madanecki Poland	8	124 1.1×	78 1.7×	15 0.4×	40 1.3×	2 0.1×	12	233
Chuan-Wei Jang United States	8	253 2.3×	20 0.4×	60 1.5×	7 0.2×	3 0.1×	8	304
Michaela Kosmann Germany	8	247 2.2×	35 0.8×	108 2.6×	6 0.2×	20 0.9×	9	703

Countries citing papers authored by James E. J. Bedard

Since Specialization

Citations

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

Fields of papers citing papers by James E. J. Bedard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. J. Bedard. 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 James E. J. Bedard. The network helps show where James E. J. Bedard may publish in the future.

Co-authorship network of co-authors of James E. J. Bedard

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

All Works

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10 of 10 papers shown

Hong, Quan, et al.. (2021). Patient ethnicity and cascade genetic testing: a descriptive study of a publicly funded hereditary cancer program. Familial Cancer. 21(3). 369–374. 12 indexed citations

Hong, Quan, et al.. (2020). Genetic testing in families with hereditary colorectal cancer in British Columbia and Yukon: a retrospective cross-sectional analysis. CMAJ Open. 8(4). E637–E642. 5 indexed citations

Samimi, Setareh, Quan Hong, James E. J. Bedard, et al.. (2020). Evaluating the impact of universal Lynch syndrome screening in a publicly funded healthcare system. Cancer Medicine. 9(18). 6507–6514. 4 indexed citations

Bedard, James E. J., et al.. (2017). Preparing Nurses for Genetic Medicine: Integration of a Brief Education Session in an Undergraduate Nursing Curriculum. Journal of Nursing Education. 56(3). 170–173. 10 indexed citations

Goodrich, David W., Xueying Tao, James E. J. Bedard, et al.. (2015). Evaluation of Next Generation Sequencing (NGS) based comprehensive chromosome screening (CCS) sensitivity to mosaicism. Fertility and Sterility. 104(3). e280–e281. 1 indexed citations

Bedard, James E. J., et al.. (2011). Identification of a Novel ZIC3 Isoform and Mutation Screening in Patients with Heterotaxy and Congenital Heart Disease. PLoS ONE. 6(8). e23755–e23755. 22 indexed citations

Bedard, James E. J., et al.. (2006). Nuclear import and export signals are essential for proper cellular trafficking and function of ZIC3. Human Molecular Genetics. 16(2). 187–198. 30 indexed citations

Bedard, James E. J., Andrew Schurko, Arthur W. A. M. de Cock, & Glen R. Klassen. (2005). Diversity and evolution of 5S rRNA gene family organization in Pythium. Mycological Research. 110(1). 86–95. 11 indexed citations

Seta, Karen A., Yong Yuan, Zachary Spicer, et al.. (2004). The role of calcium in hypoxia-induced signal transduction and gene expression. Cell Calcium. 36(3-4). 331–340. 79 indexed citations

10.

Schurko, Andrew, Leonel Mendoza, Arthur W. A. M. de Cock, James E. J. Bedard, & Glen R. Klassen. (2004). Development of a Species-Specific Probe forPythium insidiosumand the Diagnosis of Pythiosis. Journal of Clinical Microbiology. 42(6). 2411–2418. 22 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.

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