Marc Salit

9.8k citations
79 papers · 3.8k · 3 hit papers · h-index 28

Impact in

Papers in

    • Molecular Biology Techniques and Applications 12
    • Genomics and Phylogenetic Studies 12
    • Gene expression and cancer classification 11
    • Genomics and Rare Diseases 13

Marc Salit

77 papers receiving 3.8k citations

Marc Salit's Hit Papers

Testing at scale during the COVID-19 pandemic 2021 · 232 citations
2320+5+10Years since publication100200300400

Peers

Marc Salit
Comparison fields: 5 of 180
  • Cancer Research 471
  • Genetics 833
  • Molecular Biology 1.8k
  • Infectious Diseases 373
  • Biomedical Engineering 622
Replace Sean A. McKenna with:
Sean A. McKenna Canada
Ying Li China
Hans Wolf Germany
Borries Demeler United States
Mario Pazzagli Italy
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Citations per field
00.5×4.8×
Sean A. McKenna · 1×
Citations per year

Countries citing papers authored by Marc Salit

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Marc Salit Line = papers co-authored together Marc Salit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Integrating human sequence data sets provides a resource of benchmark SNP and indel genotype calls
Hit paper breakdown →
2014464
2
Synthetic spike-in standards for RNA-seq experiments
Hit paper breakdown →
2011458
3 2011245
4
Testing at scale during the COVID-19 pandemic
Hit paper breakdown →
2021232
5 2021193
6 2019189
7 2021171
8 2019161
9 2017143
10 2015122
11 1996109
12 201694
13 201278
14 201674
15 202368
16 201460
17 199860
18 201660
19 201950
20 202349

About Marc Salit

Marc Salit is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Analytical Chemistry and Spectroscopy, having authored 79 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (13 papers), Molecular Biology Techniques and Applications (12 papers), Genomics and Phylogenetic Studies (12 papers), Gene expression and cancer classification (11 papers), Cancer Genomics and Diagnostics (8 papers), Analytical Chemistry and Sensors (7 papers), Scientific Measurement and Uncertainty Evaluation (7 papers) and Analytical chemistry methods development (6 papers). The work is most often cited by research in Cancer Research (471 citations), Genetics (833 citations), Molecular Biology (1.8k citations), Infectious Diseases (373 citations) and Biomedical Engineering (622 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, Carrie Davis and Yu Zhang. Their work appears in journals such as Analytical Chemistry, BMC Genomics, Genome biology, Nature Biotechnology 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.

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