Kimberly Robasky
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 7
- Genomics and Rare Diseases 3
- Genomic variations and chromosomal abnormalities 2
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Nathan E. Lewis (5 shared papers)George M. Church (2 shared papers)Martha L. Bulyk (1 shared paper)Benjamin Garrett Vincent (1 shared paper)Eric T. Weimer (1 shared paper)Jason Powers (1 shared paper)Chad Brown (1 shared paper)Martin L. Buchkovich (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature (2 papers)Genome Medicine (1 paper)Nature Reviews Genetics (1 paper)Cell Reports Methods (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Kimberly Robasky
16 papers receiving 1.2k citations
Kimberly Robasky's Hit Papers
Peers
Comparison fields: 5 of 117
- Biophysics 120
- Cancer Research 221
- Molecular Biology 778
- Genetics 263
- Information Systems and Management 36
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 | The human body at cellular resolution: the NIH Human Biomolecular Atlas Program Hit paper breakdown → | 2019 | 391 |
| 2 | 2013 | 233 | |
| 3 | 2012 | 173 | |
| 4 | 2012 | 156 | |
| 5 | 2010 | 121 | |
| 6 | 2019 | 46 | |
| 7 | 2017 | 40 | |
| 8 | 2019 | 38 | |
| 9 | 2021 | 27 | |
| 10 | 2018 | 15 | |
| 11 | 2013 | 12 | |
| 12 | 2022 | 7 | |
| 13 | 2018 | 6 | |
| 14 | Tailoring the NCI Thesaurus for Use in The OBO Library. | 2017 | 5 |
| 15 | 2023 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2025 | 0 |
About Kimberly Robasky
Kimberly Robasky is a scholar working on Genetics, Cancer Research, Molecular Biology, Sensory Systems and Biophysics, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Cancer Genomics and Diagnostics (3 papers), Genomics and Rare Diseases (3 papers), CRISPR and Genetic Engineering (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Biophysics (120 citations), Cancer Research (221 citations), Molecular Biology (778 citations), Genetics (263 citations) and Information Systems and Management (36 citations). Kimberly Robasky has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Nathan E. Lewis, George M. Church, Martha L. Bulyk, Benjamin Garrett Vincent, Eric T. Weimer, Jason Powers, Chad Brown, Martin L. Buchkovich, Shengjie Chai and Austin W.T. Chiang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature, Genome Medicine, Nature Reviews 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.