Bryan Chi

980 total citations
8 papers, 758 citations indexed

About

Bryan Chi is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Bryan Chi has authored 8 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Bryan Chi's work include Genomic variations and chromosomal abnormalities (4 papers), Chromosomal and Genetic Variations (3 papers) and Genomics and Phylogenetic Studies (2 papers). Bryan Chi is often cited by papers focused on Genomic variations and chromosomal abnormalities (4 papers), Chromosomal and Genetic Variations (3 papers) and Genomics and Phylogenetic Studies (2 papers). Bryan Chi collaborates with scholars based in Canada and United States. Bryan Chi's co-authors include Wan L. Lam, Calum MacAulay, Bradley P. Coe, Ronald J. deLeeuw, Victor Ling, Marco A. Marra, Donna G. Albertson, Antoine M. Snijders, Spencer K. Watson and Chad A. Malloff and has published in prestigious journals such as Nature Genetics, CHEST Journal and BMC Bioinformatics.

In The Last Decade

Bryan Chi

7 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bryan Chi Canada	6	471	465	203	155	88	8	758
Spencer K. Watson Canada	8	412 0.9×	418 0.9×	180 0.9×	137 0.9×	96 1.1×	10	680
Ann C. Burgess United States	8	312 0.7×	239 0.5×	125 0.6×	126 0.8×	64 0.7×	15	595
Jan Maahr Denmark	12	332 0.7×	498 1.1×	254 1.3×	172 1.1×	171 1.9×	19	798
Lydia E. McMorrow United States	11	505 1.1×	320 0.7×	110 0.5×	80 0.5×	137 1.6×	22	699
Caroline Braem Belgium	8	678 1.4×	216 0.5×	110 0.5×	156 1.0×	20 0.2×	10	928
Ángel Martínez‐Ramírez Spain	17	564 1.2×	159 0.3×	174 0.9×	153 1.0×	15 0.2×	26	843
Kikuë Tachibana Germany	15	1000 2.1×	113 0.2×	200 1.0×	108 0.7×	42 0.5×	23	1.2k
Yu-Wei Leu Taiwan	13	800 1.7×	221 0.5×	63 0.3×	165 1.1×	19 0.2×	19	967
Deborah M. Ketterer United States	6	294 0.6×	242 0.5×	39 0.2×	120 0.8×	50 0.6×	6	585
Mirjam S. de Pagter Netherlands	6	331 0.7×	153 0.3×	88 0.4×	187 1.2×	44 0.5×	7	557

Countries citing papers authored by Bryan Chi

Since Specialization

Citations

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

Fields of papers citing papers by Bryan Chi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan Chi

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

1.

Chi, Bryan, Ronald J. deLeeuw, Bradley P. Coe, et al.. (2008). MD-SeeGH: a platform for integrative analysis of multi-dimensional genomic data. BMC Bioinformatics. 9(1). 243–243. 27 indexed citations

2.

Lonergan, Kim M., Raj Chari, Ronald J. deLeeuw, et al.. (2006). Identification of Novel Lung Genes in Bronchial Epithelium by Serial Analysis of Gene Expression. American Journal of Respiratory Cell and Molecular Biology. 35(6). 651–661. 48 indexed citations

3.

Coe, Bradley P., Bryan Chi, Luc Girard, et al.. (2005). Gain of a region on 7p22.3, containing MAD1L1, is the most frequent event in small‐cell lung cancer cell lines. Genes Chromosomes and Cancer. 45(1). 11–19. 47 indexed citations

4.

Lockwood, William W., Raj Chari, Bryan Chi, & Wan L. Lam. (2005). Recent advances in array comparative genomic hybridization technologies and their applications in human genetics. European Journal of Human Genetics. 14(2). 139–148. 83 indexed citations

5.

Ishkanian, Adrian, Chad A. Malloff, Spencer K. Watson, et al.. (2004). A tiling resolution DNA microarray with complete coverage of the human genome. Nature Genetics. 36(3). 299–303. 475 indexed citations

6.

MacAulay, Calum, Bryan Chi, Scott Zuyderduyn, et al.. (2004). Serial Analysis of Gene Expression Profiles of Developmental Stages in Non-small Cell Lung Carcinoma. CHEST Journal. 125(5). 97S–97S. 1 indexed citations

7.

Chi, Bryan, Ronald J. deLeeuw, Bradley P. Coe, Calum MacAulay, & Wan L. Lam. (2004). SeeGH – A software tool for visualization of whole genome array comparative genomic hybridization data. BMC Bioinformatics. 5(1). 13–13. 76 indexed citations

8.

Lonergan, Kim M., Ashleen Shadeo, Jinhee Kim, et al.. (2003). P-129 Gene expression profiles of developmental stages of non-small cell lung carcinoma. Lung Cancer. 41. S123–S123. 1 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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