James Lowey

1.4k total citations
12 papers, 837 citations indexed

About

James Lowey is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, James Lowey has authored 12 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Artificial Intelligence and 3 papers in Cancer Research. Recurrent topics in James Lowey's work include Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (4 papers) and Machine Learning in Bioinformatics (2 papers). James Lowey is often cited by papers focused on Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (4 papers) and Machine Learning in Bioinformatics (2 papers). James Lowey collaborates with scholars based in United States, Sweden and Canada. James Lowey's co-authors include Edward Suh, E.R. Dougherty, Hua Jiang, Zhe Xiong, Edward R. Dougherty, Jianping Hua, Chao Sima, Marcel Brun, B.R. Carroll and Waibhav Tembe and has published in prestigious journals such as Bioinformatics, Genome Research and BMC Bioinformatics.

In The Last Decade

James Lowey

11 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Lowey United States	9	322	249	121	82	63	12	837
Luis Rueda Canada	19	509 1.6×	289 1.2×	92 0.8×	94 1.1×	75 1.2×	122	1.1k
Yunsheng Liu China	17	196 0.6×	147 0.6×	63 0.5×	86 1.0×	22 0.3×	79	879
Colin Molter Belgium	12	563 1.7×	280 1.1×	89 0.7×	115 1.4×	31 0.5×	28	1.1k
Mingon Kang United States	17	457 1.4×	246 1.0×	77 0.6×	118 1.4×	176 2.8×	68	984
Vanathi Gopalakrishnan United States	18	455 1.4×	191 0.8×	66 0.5×	47 0.6×	75 1.2×	52	1.0k
Martin Slawski United States	14	220 0.7×	353 1.4×	136 1.1×	39 0.5×	26 0.4×	35	916
Kyung-Ah Sohn South Korea	20	440 1.4×	244 1.0×	66 0.5×	113 1.4×	52 0.8×	95	1.3k
Haohan Wang United States	17	244 0.8×	299 1.2×	46 0.4×	58 0.7×	14 0.2×	82	1.1k
Zemin Liu China	16	271 0.8×	261 1.0×	309 2.6×	148 1.8×	12 0.2×	51	1.1k

Countries citing papers authored by James Lowey

Since Specialization

Citations

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

Fields of papers citing papers by James Lowey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Lowey

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

All Works

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12 of 12 papers shown

Lowey, James, Qiqun Cheng, Sean M. Rogers, & Jonathan A. Mee. (2020). Persistence of pelvic spine polymorphism in a panmictic population of brook stickleback (Culaea inconstans) in Alberta, Canada. Canadian Journal of Zoology. 98(10). 643–649. 3 indexed citations

Schork, Nicholas J., Laura H. Goetz, James Lowey, & Jeffrey M. Trent. (2020). Strategies for Testing Intervention Matching Schemes in Cancer. Clinical Pharmacology & Therapeutics. 108(3). 542–552. 3 indexed citations

Robbins, Christiane M., Angela Baker, Shripad Sinari, et al.. (2010). Copy number and targeted mutational analysis reveals novel somatic events in metastatic prostate tumors. Genome Research. 21(1). 47–55. 134 indexed citations

Tembe, Waibhav, James Lowey, & Edward Suh. (2010). G-SQZ: compact encoding of genomic sequence and quality data. Bioinformatics. 26(17). 2192–2194. 63 indexed citations

Hua, Jianping, Yoganand Balagurunathan, Yidong Chen, et al.. (2006). Normalization Benefits Microarray-Based Classification. PubMed. 2006. 1–13. 16 indexed citations

Hua, Jianping, James Lowey, Zixiang Xiong, & Edward R. Dougherty. (2006). Noise-injected neural networks show promise for use on small-sample expression data. BMC Bioinformatics. 7(1). 274–274. 15 indexed citations

Hua, Jianping, Yoganand Balagurunathan, Yidong Chen, et al.. (2006). Effect of normalization on microarray-based classification. 7–8.

Brun, Marcel, Chao Sima, Jianping Hua, et al.. (2006). Model-based evaluation of clustering validation measures. Pattern Recognition. 40(3). 807–824. 155 indexed citations

Choudhary, Ashish, Marcel Brun, Jianping Hua, et al.. (2006). Genetic test bed for feature selection. Bioinformatics. 22(7). 837–842. 18 indexed citations

10.

Sima, Chao, et al.. (2005). Impact of error estimation on feature selection. Pattern Recognition. 38(12). 2472–2482. 39 indexed citations

11.

Xu, Jianfeng, James Lowey, Fredrik Wiklund, et al.. (2005). The Interaction of Four Genes in the Inflammation Pathway Significantly Predicts Prostate Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 14(11). 2563–2568. 71 indexed citations

12.

Jiang, Hua, Zhe Xiong, James Lowey, Edward Suh, & E.R. Dougherty. (2004). Optimal number of features as a function of sample size for various classification rules. Computer applications in the biosciences. 21(8). 1509–1515. 320 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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