Michael C. Schatz

63.0k citations
151 papers · 16.5k indexed · 13 hit papers · h-index 55

Impact in

    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
  • Genetics top 0.2%
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic diversity and population structure
    • Genomics and Rare Diseases

Papers in

    • Genomics and Phylogenetic Studies 77
    • RNA and protein synthesis mechanisms 17
    • Gene expression and cancer classification 11
    • Genomics and Rare Diseases 15
    • Genomic variations and chromosomal abnormalities 11

Michael C. Schatz

147 papers receiving 16.1k citations

Hit Papers

Automated assembly scaffolding using RagTag elevates a new tomato system for high-throughput genome editing 2022 · 397 citations
39720092026201420202505007501000

Peers

Michael C. Schatz
Comparison fields: 5 of 194
  • Molecular Biology 10.3k
  • Genetics 4.2k
  • Plant Science 5.2k
  • Horticulture 87
  • Cancer Research 1.4k
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Michael C. Schatz relative to Rolf Apweiler United Kingdom Rolf Apweiler's profile →
Citations per field
00.5×4.4×
Rolf Apweiler · 1×
Citations per year

Countries citing papers authored by Michael C. Schatz

Since Specialization
Citations

This map shows the geographic impact of Michael C. Schatz'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 Michael C. Schatz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Schatz more than expected).

Fields of papers citing papers by Michael C. Schatz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Schatz. 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 Michael C. Schatz. The network helps show where Michael C. Schatz may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael C. Schatz, 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 Michael C. Schatz Line = papers co-authored together Michael C. Schatz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 202310
4 202228
5 202113
6 202129
7 202127
8 202119
9 20207
10 202015
11 202036
12 20179
13
GenomeScope: fast reference-free genome profiling from short reads
Hit paper breakdown →
20171125
14 2016185
15 201472
16 2014188
17 2013222
18 201261
19 2012122
20
High performance computing for dna sequence alignment and assembly
20102

About Michael C. Schatz

Michael C. Schatz is a scholar working on Molecular Biology, Genetics, Plant Science, Molecular Medicine and Cancer Research, having authored 151 papers that have together received 16.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (77 papers), Chromosomal and Genetic Variations (29 papers), RNA and protein synthesis mechanisms (17 papers), Genomics and Rare Diseases (15 papers), Cancer Genomics and Diagnostics (12 papers), Algorithms and Data Compression (11 papers), Genomic variations and chromosomal abnormalities (11 papers) and Gene expression and cancer classification (11 papers). The work is most often cited by research in Molecular Biology (10.3k citations), Genetics (4.2k citations), Plant Science (5.2k citations), Horticulture (87 citations) and Cancer Research (1.4k citations). Michael C. Schatz has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Fritz J. Sedlazeck, Steven L. Salzberg, Maria Nattestad, Han Fang, Kamil S. Jaroň, T. Rhyker Ranallo-Benavidez, Arthur L. Delcher, James Gurtowski, W. Richard McCombie and Adam M. Phillippy. Their work appears in journals such as Genome biology, Genome Research, Bioinformatics, Nature Methods and Proceedings of the National Academy of Sciences.

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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