Kimberly Robasky
Impact in
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- Cancer Genomics and Diagnostics
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- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Gene expression and cancer classification
Papers in
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- Bioinformatics and Genomic Networks 3
- Metabolomics and Mass Spectrometry Studies 2
- Microbial Metabolic Engineering and Bioproduction 2
- Gene expression and cancer classification 1
- Genetics 4
- Genomics and Rare Diseases 1
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Nathan E. Lewis (4 shared papers)George M. Church (2 shared papers)Martha L. Bulyk (1 shared paper)Shengjie Chai (1 shared paper)Eric T. Weimer (1 shared paper)Chad Brown (1 shared paper)Benjamin G. Vincent (1 shared paper)Martin L. Buchkovich (1 shared paper)
- Journals
- BMC Bioinformatics (1 paper)Nucleic Acids Research (1 paper)Journal of Personalized Medicine (1 paper)G3 Genes Genomes Genetics (1 paper)Cell Reports Methods (1 paper)
- Partner nations
- United StatesVietnamChina
In The Last Decade
Kimberly Robasky
11 papers receiving 446 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 84
- Molecular Biology 286
- Genetics 78
- Transplantation 6
- Immunology 38
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 | 220 | |
| 2 | 2010 | 122 | |
| 3 | 2017 | 36 | |
| 4 | 2021 | 23 | |
| 5 | 2013 | 14 | |
| 6 | 2018 | 13 | |
| 7 | 2022 | 6 | |
| 8 | 2018 | 6 | |
| 9 | 2021 | 4 | |
| 10 | 2023 | 3 | |
| 11 | Tailoring the NCI Thesaurus for Use in The OBO Library. | 2017 | 2 |
About Kimberly Robasky
Kimberly Robasky is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Information Systems and Cognitive Neuroscience, having authored 11 papers that have together received 449 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Autism Spectrum Disorder Research (1 paper), Genomics and Rare Diseases (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Cancer Genomics and Diagnostics (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Cancer Research (84 citations), Molecular Biology (286 citations), Genetics (78 citations), Transplantation (6 citations) and Immunology (38 citations). Kimberly Robasky has collaborated with scholars based in United States, Vietnam and China. Frequent co-authors include Nathan E. Lewis, George M. Church, Martha L. Bulyk, Shengjie Chai, Eric T. Weimer, Chad Brown, Benjamin G. Vincent, Martin L. Buchkovich, Jason Powers and Lindsey Smith Taillie. Their work appears in journals such as BMC Bioinformatics, Nucleic Acids Research, Journal of Personalized Medicine, G3 Genes Genomes Genetics and Cell Reports Methods.
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.