Justin Bedő

2.4k total citations
29 papers, 1.5k citations indexed

About

Justin Bedő is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Justin Bedő has authored 29 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Artificial Intelligence and 3 papers in Oncology. Recurrent topics in Justin Bedő's work include Genomics and Phylogenetic Studies (6 papers), Gene expression and cancer classification (5 papers) and RNA and protein synthesis mechanisms (3 papers). Justin Bedő is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Gene expression and cancer classification (5 papers) and RNA and protein synthesis mechanisms (3 papers). Justin Bedő collaborates with scholars based in Australia, United States and Germany. Justin Bedő's co-authors include Arthur Gretton, Karsten Borgwardt, Alex Smola, Le Song, Le Song, Noel G. Faux, Colin L. Masters, Lingjuan Lyu, Jiong Jin and Karthik Nandakumar and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Justin Bedő

29 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justin Bedő Australia 14 457 384 358 236 150 29 1.5k
Stephen Scott United States 27 514 1.1× 591 1.5× 417 1.2× 248 1.1× 86 0.6× 82 2.5k
Sultan Ahmad Saudi Arabia 25 417 0.9× 726 1.9× 321 0.9× 106 0.4× 154 1.0× 153 2.4k
Qi Huang China 24 338 0.7× 485 1.3× 349 1.0× 210 0.9× 36 0.2× 164 2.3k
Hiroyuki Watanabe Japan 20 636 1.4× 359 0.9× 275 0.8× 63 0.3× 234 1.6× 93 2.0k
Samo Ribarič Slovenia 27 219 0.5× 451 1.2× 278 0.8× 651 2.8× 32 0.2× 143 2.5k
Vikas Chandra United States 27 583 1.3× 1.1k 2.9× 149 0.4× 877 3.7× 62 0.4× 120 4.1k
Shi Zhong China 31 647 1.4× 539 1.4× 64 0.2× 320 1.4× 84 0.6× 106 2.4k
Hongbin Dong China 21 493 1.1× 343 0.9× 62 0.2× 169 0.7× 44 0.3× 119 1.6k
Jinyan Wang China 14 203 0.4× 418 1.1× 247 0.7× 114 0.5× 29 0.2× 39 1.7k
Satoshi Miyamoto Japan 18 212 0.5× 441 1.1× 127 0.4× 106 0.4× 25 0.2× 76 1.5k

Countries citing papers authored by Justin Bedő

Since Specialization
Citations

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

Fields of papers citing papers by Justin Bedő

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Bedő

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

All Works

20 of 20 papers shown
1.
2.
Wen, Shu, Raymond Shim, Pam Hall, et al.. (2022). Lung Imaging Reveals Stroke-Induced Impairment in Pulmonary Intravascular Neutrophil Function, a Response Exacerbated with Aging. The Journal of Immunology. 208(8). 2019–2028. 6 indexed citations
3.
Cameron, Daniel, et al.. (2022). svaRetro and svaNUMT: modular packages for annotating retrotransposed transcripts and nuclear integration of mitochondrial DNA in genome sequencing data. SHILAP Revista de lepidopterología. 2022. 1–13. 2 indexed citations
4.
Trigos, Anna, Benjamin Goudey, Justin Bedő, et al.. (2021). Collateral Sensitivity to β-Lactam Drugs in Drug-Resistant Tuberculosis Is Driven by the Transcriptional Wiring of BlaI Operon Genes. mSphere. 6(3). e0024521–e0024521. 4 indexed citations
5.
Bedő, Justin, et al.. (2020). Improved HLA-based prediction of coeliac disease identifies two novel genetic interactions. European Journal of Human Genetics. 28(12). 1743–1752. 11 indexed citations
6.
Bedő, Justin. (2019). BioShake: a Haskell EDSL for bioinformatics workflows. PeerJ. 7. e7223–e7223. 4 indexed citations
7.
Bedő, Justin & Cheng Soon Ong. (2016). Multivariate spearman's ρ for aggregating ranks using copulas. Journal of Machine Learning Research. 17(1). 7072–7101. 2 indexed citations
8.
Bedő, Justin, et al.. (2016). Information theoretic alignment free variant calling. PeerJ Computer Science. 2. e71–e71. 1 indexed citations
9.
Chatagnon, Amandine, Philippe Veber, Valérie Morin, et al.. (2015). RAR/RXR binding dynamics distinguish pluripotency from differentiation associated cis-regulatory elements. Nucleic Acids Research. 43(10). 4833–4854. 67 indexed citations
10.
Wen, Shu, Sarah Everitt, Justin Bedő, et al.. (2015). Spleen Volume Variation in Patients with Locally Advanced Non-Small Cell Lung Cancer Receiving Platinum-Based Chemo-Radiotherapy. PLoS ONE. 10(11). e0142608–e0142608. 22 indexed citations
11.
Bedő, Justin, David Rawlinson, Benjamin Goudey, & Cheng Soon Ong. (2014). Stability of Bivariate GWAS Biomarker Detection. PLoS ONE. 9(4). e93319–e93319. 7 indexed citations
12.
Tothill, Richard W., Fan Shi, Justin Bedő, et al.. (2014). Development and validation of a gene expression tumour classifier for cancer of unknown primary. Pathology. 47(1). 7–12. 33 indexed citations
13.
Burnham, Samantha C., Noel G. Faux, W.J. Wilson, et al.. (2013). A blood-based predictor for neocortical Aβ burden in Alzheimer’s disease: results from the AIBL study. Molecular Psychiatry. 19(4). 519–526. 95 indexed citations
14.
Song, Le, Alex Smola, Arthur Gretton, Justin Bedő, & Karsten Borgwardt. (2012). Feature selection via dependence maximization. Journal of Machine Learning Research. 13(1). 1393–1434. 216 indexed citations
15.
Wong, Nicholas C., David M. Ashley, Zac Chatterton, et al.. (2012). A distinct DNA methylation signature defines pediatric pre-B cell acute lymphoblastic leukemia. Epigenetics. 7(6). 535–541. 35 indexed citations
16.
Kowalczyk, Adam, Justin Bedő, Thomas Conway, & Bryan Beresford‐Smith. (2011). The Poisson Margin Test for Normalization-Free Significance Analysis of NGS Data. Journal of Computational Biology. 18(3). 391–400. 2 indexed citations
17.
Villemagne, Victor L., Keyla Perez, Kerryn E. Pike, et al.. (2010). Blood-Borne Amyloid-β Dimer Correlates with Clinical Markers of Alzheimer's Disease. Journal of Neuroscience. 30(18). 6315–6322. 62 indexed citations
18.
Faux, Noel G., Craig Ritchie, Adam P. Gunn, et al.. (2010). PBT2 Rapidly Improves Cognition in Alzheimer's Disease: Additional Phase II Analyses. Journal of Alzheimer s Disease. 20(2). 509–516. 321 indexed citations
19.
Bedő, Justin, Peter Wenzl, Adam Kowalczyk, & Andrzej Kilian. (2008). Precision-mapping and statistical validation of quantitative trait loci by machine learning. BMC Genetics. 9(1). 35–35. 19 indexed citations
20.
Parker, Brian J., Simon Günter, & Justin Bedő. (2007). Stratification bias in low signal microarray studies. BMC Bioinformatics. 8(1). 326–326. 55 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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