Glen Beane

419 total citations
5 papers, 252 citations indexed

About

Glen Beane is a scholar working on Molecular Biology, Genetics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Glen Beane has authored 5 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Glen Beane's work include Radiomics and Machine Learning in Medical Imaging (1 paper), Genetic Syndromes and Imprinting (1 paper) and Pluripotent Stem Cells Research (1 paper). Glen Beane is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (1 paper), Genetic Syndromes and Imprinting (1 paper) and Pluripotent Stem Cells Research (1 paper). Glen Beane collaborates with scholars based in United States and Germany. Glen Beane's co-authors include Joerg Bewersdorf, Michael J. Mlodzianoski, Manuel F. Juette, Gary A. Churchill, Lucie N. Hutchins, Fernando Pardo‐Manuel de Villena, Yueming Ding, Jin P. Szatkiewicz, Kwangbom Choi and Ron Korstanje and has published in prestigious journals such as Bioinformatics, Optics Express and Mammalian Genome.

In The Last Decade

Glen Beane

5 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Glen Beane United States	5	106	83	76	53	38	5	252
Tim Kaminski Germany	10	249 2.3×	73 0.9×	48 0.6×	47 0.9×	10 0.3×	20	378
Fan Long China	7	120 1.1×	185 2.2×	18 0.2×	93 1.8×	66 1.7×	13	370
Alexander Benke Switzerland	10	341 3.2×	171 2.1×	28 0.4×	70 1.3×	56 1.5×	13	497
Susanne Fiedler Germany	4	239 2.3×	69 0.8×	49 0.6×	27 0.5×	34 0.9×	6	337
Kristen Feher Australia	9	155 1.5×	55 0.7×	21 0.3×	36 0.7×	17 0.4×	12	248
Jutta Bulkescher Germany	7	287 2.7×	145 1.7×	18 0.2×	42 0.8×	17 0.4×	7	418
Yin Loon Lee Singapore	7	279 2.6×	58 0.7×	82 1.1×	22 0.4×	36 0.9×	10	376
Vadim O. Chagin Russia	10	365 3.4×	117 1.4×	35 0.5×	22 0.4×	31 0.8×	19	452
Amy Hong United States	7	188 1.8×	146 1.8×	18 0.2×	131 2.5×	21 0.6×	20	402
Peter Edelmann Germany	7	245 2.3×	148 1.8×	36 0.5×	63 1.2×	39 1.0×	9	342

Countries citing papers authored by Glen Beane

Since Specialization

Citations

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

Fields of papers citing papers by Glen Beane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glen Beane

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

All Works

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5 of 5 papers shown

1.

Woo, Xing Yi, Anuj Srivastava, Joel H. Graber, et al.. (2019). Genomic data analysis workflows for tumors from patient-derived xenografts (PDXs): challenges and guidelines. BMC Medical Genomics. 12(1). 92–92. 21 indexed citations

2.

Raghupathy, Narayanan, Kwangbom Choi, Matthew Vincent, et al.. (2018). Hierarchical analysis of RNA-seq reads improves the accuracy of allele-specific expression. Bioinformatics. 34(13). 2177–2184. 53 indexed citations

3.

Peterson, Kevin A., et al.. (2017). CRISPRtools: a flexible computational platform for performing CRISPR/Cas9 experiments in the mouse. Mammalian Genome. 28(7-8). 283–290. 4 indexed citations

4.

Mlodzianoski, Michael J., Manuel F. Juette, Glen Beane, & Joerg Bewersdorf. (2009). Experimental characterization of 3D localization techniques for particle-tracking and super-resolution microscopy. Optics Express. 17(10). 8264–8264. 108 indexed citations

5.

Szatkiewicz, Jin P., Glen Beane, Yueming Ding, et al.. (2008). An imputed genotype resource for the laboratory mouse. Mammalian Genome. 19(3). 199–208. 66 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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