Marc Salit
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 8
- Genetics top 2%
- Genomics and Rare Diseases 13
- Molecular Biology top 5%
- Molecular Biology Techniques and Applications 19
- Genomics and Phylogenetic Studies 17
- Gene expression and cancer classification 13
- RNA and protein synthesis mechanisms 6
- Infectious Diseases top 5%
- Biomedical Engineering top 5%
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- Scientific Measurement and Uncertainty Evaluation 7
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- Analytical Chemistry and Sensors 7
- Co-authors
- Justin M. ZookTim R. MercerBrad ChapmanJennifer McDanielDavid MittelmanOliver HofmannJason WangLichun Jiang
- Partner nations
- United StatesUnited KingdomEgypt
In The Last Decade
Marc Salit
77 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Cancer Research 559
- Genetics 927
- Molecular Biology 2.0k
- Infectious Diseases 395
- Biomedical Engineering 642
Countries citing papers authored by Marc Salit
This map shows the geographic impact of Marc Salit'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 Marc Salit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Salit more than expected).
Fields of papers citing papers by Marc Salit
This network shows the impact of papers produced by Marc Salit. 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 Marc Salit. The network helps show where Marc Salit may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc Salit, 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 | 2023 | 44 | |
| 2 | Testing at scale during the COVID-19 pandemicbreakdown → | 2021 | 229 |
| 3 | 2019 | 7 | |
| 4 | 2019 | 49 | |
| 5 | 2018 | 6 | |
| 6 | 2018 | 17 | |
| 7 | 2016 | 3 | |
| 8 | 2016 | 94 | |
| 9 | 2016 | 23 | |
| 10 | 2016 | 19 | |
| 11 | 2015 | 28 | |
| 12 | 2015 | 7 | |
| 13 | 2015 | 4 | |
| 14 | 2014 | 60 | |
| 15 | 2012 | 77 | |
| 16 | Synthetic spike-in standards for RNA-seq experimentsbreakdown → | 2011 | 454 |
| 17 | 2010 | 6 | |
| 18 | 2009 | 7 | |
| 19 | 2006 | 14 | |
| 20 | Proposed methods for testing and selecting the ERCC external RNA controls | 2005 | 7 |
About Marc Salit
Marc Salit is a scholar working on Bioengineering, Statistics, Probability and Uncertainty, Analytical Chemistry, Genetics and Cancer Research, having authored 79 papers that have together received 3.7k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (19 papers), Genomics and Phylogenetic Studies (17 papers), Genomics and Rare Diseases (13 papers), Gene expression and cancer classification (13 papers), Cancer Genomics and Diagnostics (8 papers), Scientific Measurement and Uncertainty Evaluation (7 papers), Analytical Chemistry and Sensors (7 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Cancer Research (559 citations), Genetics (927 citations), Molecular Biology (2.0k citations), Infectious Diseases (395 citations) and Biomedical Engineering (642 citations). Marc Salit has collaborated with scholars based in United States, United Kingdom and Egypt. Frequent co-authors include Justin M. Zook, Tim R. Mercer, Brad Chapman, Jennifer McDaniel, David Mittelman, Oliver Hofmann, Jason Wang, Lichun Jiang, T Gingeras and Brian Oliver. Their work appears in journals such as Analytical Chemistry, Nature Biotechnology, Genome biology, BMC Genomics and Spectrochimica Acta Part B Atomic Spectroscopy.
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.