Kimberly Robasky
Impact in
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- Cancer Genomics and Diagnostics
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- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
Papers in
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- Bioinformatics and Genomic Networks 3
- Genomics and Phylogenetic Studies 2
- Microbial Metabolic Engineering and Bioproduction 2
- Metabolomics and Mass Spectrometry Studies 2
- Gene expression and cancer classification 2
- Genetics 4
- Genomics and Rare Diseases 2
- Co-authors
- Nathan E. Lewis (4 shared papers)George M. Church (2 shared papers)Martha L. Bulyk (1 shared paper)Martin L. Buchkovich (1 shared paper)Chad Brown (1 shared paper)Shengjie Chai (1 shared paper)Jason Powers (1 shared paper)Benjamin G. Vincent (1 shared paper)
- Journals
- G3 Genes Genomes Genetics (1 paper)Journal of Personalized Medicine (1 paper)Nature Reviews Genetics (1 paper)Molecular Psychiatry (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesSwedenVietnam
In The Last Decade
Kimberly Robasky
11 papers receiving 421 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 88
- Molecular Biology 302
- Genetics 90
- Transplantation 6
- Immunology 45
Countries citing papers authored by Kimberly Robasky
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
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-authors
The 25 scholars most cited alongside Kimberly Robasky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 208 | |
| 2 | 2010 | 116 | |
| 3 | 2017 | 33 | |
| 4 | 2021 | 20 | |
| 5 | 2013 | 14 | |
| 6 | 2018 | 13 | |
| 7 | 2018 | 6 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 4 | |
| 10 | 2023 | 3 | |
| 11 | Tailoring the NCI Thesaurus for Use in The OBO Library. | 2017 | 1 |
About Kimberly Robasky
Kimberly Robasky is a scholar working on Molecular Biology, Genetics, Epidemiology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 423 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Cancer Genomics and Diagnostics (2 papers), Genomics and Phylogenetic Studies (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Genomics and Rare Diseases (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Gene expression and cancer classification (2 papers) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Cancer Research (88 citations), Molecular Biology (302 citations), Genetics (90 citations), Transplantation (6 citations) and Immunology (45 citations). Kimberly Robasky has collaborated with scholars based in United States, Sweden and Vietnam. Frequent co-authors include Nathan E. Lewis, George M. Church, Martha L. Bulyk, Martin L. Buchkovich, Chad Brown, Shengjie Chai, Jason Powers, Benjamin G. Vincent, Eric T. Weimer and Jonathan C. Schisler. Their work appears in journals such as G3 Genes Genomes Genetics, Journal of Personalized Medicine, Nature Reviews Genetics, Molecular Psychiatry and BMC Bioinformatics.
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.