Kimberly Robasky

2.0k total citations
11 papers, 423 citations indexed

About

Kimberly Robasky is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Kimberly Robasky has authored 11 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Epidemiology. Recurrent topics in Kimberly Robasky's work include Bioinformatics and Genomic Networks (3 papers), Genomics and Rare Diseases (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Kimberly Robasky is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Genomics and Rare Diseases (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Kimberly Robasky collaborates with scholars based in United States, Sweden and Luxembourg. Kimberly Robasky's co-authors include George M. Church, Nathan E. Lewis, Martha L. Bulyk, Benjamin G. Vincent, Jason Powers, Shengjie Chai, Chad Brown, Martin L. Buchkovich, Eric T. Weimer and Jonathan C. Schisler and has published in prestigious journals such as Nucleic Acids Research, Nature Reviews Genetics and Molecular Psychiatry.

In The Last Decade

Kimberly Robasky

11 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kimberly Robasky United States 7 302 90 88 45 43 11 423
Irina A. Shagina Russia 13 226 0.7× 86 1.0× 67 0.8× 72 1.6× 29 0.7× 32 356
Dheeraj Shinde Switzerland 10 247 0.8× 99 1.1× 78 0.9× 15 0.3× 41 1.0× 15 385
Marcus R. Breese United States 7 257 0.9× 49 0.5× 103 1.2× 41 0.9× 19 0.4× 17 392
Raúl Arias‐Carrasco Chile 8 310 1.0× 40 0.4× 160 1.8× 58 1.3× 36 0.8× 15 488
Tim Blauwkamp United States 5 602 2.0× 95 1.1× 75 0.9× 17 0.4× 18 0.4× 6 657
Luis R Nassar United States 3 203 0.7× 62 0.7× 52 0.6× 23 0.5× 15 0.3× 5 313
Elmira Forouzmand United States 10 466 1.5× 72 0.8× 72 0.8× 34 0.8× 21 0.5× 13 531
Shen Song China 12 387 1.3× 200 2.2× 114 1.3× 25 0.6× 28 0.7× 30 660
Yangli Pei China 13 371 1.2× 78 0.9× 71 0.8× 22 0.5× 12 0.3× 25 513
Lorena de la Fuente Spain 7 332 1.1× 36 0.4× 85 1.0× 28 0.6× 21 0.5× 8 395

Countries citing papers authored by Kimberly Robasky

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Robasky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Robasky

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

All Works

11 of 11 papers shown
1.
Borland, David, Zerong Li, Benjamin P. Kellman, et al.. (2023). ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data. STAR Protocols. 4(1). 102069–102069. 3 indexed citations
2.
Bao, Bokan, Javad Zahiri, Vahid Gazestani, et al.. (2022). A predictive ensemble classifier for the gene expression diagnosis of ASD at ages 1 to 4 years. Molecular Psychiatry. 28(2). 822–833. 5 indexed citations
3.
Richelle, Anne, Benjamin P. Kellman, Alexander T. Wenzel, et al.. (2021). Model-based assessment of mammalian cell metabolic functionalities using omics data. Cell Reports Methods. 1(3). 100040–100040. 20 indexed citations
4.
Filer, Dayne L., Fengshen Kuo, Alicia Brandt, et al.. (2021). Pre-capture multiplexing provides additional power to detect copy number variation in exome sequencing. BMC Bioinformatics. 22(1). 374–374. 4 indexed citations
5.
Calancie, Larissa, Thomas C. Keyserling, Lindsey Smith Taillie, et al.. (2018). TAS2R38 Predisposition to Bitter Taste Associated with Differential Changes in Vegetable Intake in Response to a Community-Based Dietary Intervention. G3 Genes Genomes Genetics. 8(6). 2107–2119. 13 indexed citations
6.
Halladay, Jacqueline R., Kimberly Robasky, Wendell Jones, et al.. (2018). Applicability of Precision Medicine Approaches to Managing Hypertension in Rural Populations. Journal of Personalized Medicine. 8(2). 16–16. 6 indexed citations
7.
Buchkovich, Martin L., Chad Brown, Kimberly Robasky, et al.. (2017). HLAProfiler utilizes k-mer profiles to improve HLA calling accuracy for rare and common alleles in RNA-seq data. Genome Medicine. 9(1). 86–86. 33 indexed citations
8.
Balhoff, James P., Matthew Brush, Sherri de Coronado, et al.. (2017). Tailoring the NCI Thesaurus for Use in The OBO Library.. 1 indexed citations
9.
Robasky, Kimberly, Nathan E. Lewis, & George M. Church. (2013). The role of replicates for error mitigation in next-generation sequencing. Nature Reviews Genetics. 15(1). 56–62. 208 indexed citations
10.
Lo, Christine, Rui Liu, Kimberly Robasky, et al.. (2013). On the design of clone-based haplotyping. Genome Biology. 14(9). R100–R100. 14 indexed citations
11.
Robasky, Kimberly & Martha L. Bulyk. (2010). UniPROBE, update 2011: expanded content and search tools in the online database of protein-binding microarray data on protein-DNA interactions. Nucleic Acids Research. 39(Database). D124–D128. 116 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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