Michael C. Schatz
Impact in
- Molecular Biology top 0.2%
- 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
- Genetics 37
- Genomics and Rare Diseases 15
- Genomic variations and chromosomal abnormalities 11
- Co-authors
- Fritz J. SedlazeckSteven L. SalzbergMaria NattestadHan FangKamil S. JaroňT. Rhyker Ranallo-BenavidezArthur L. DelcherJames Gurtowski
- Journals
- Genome biology (15 papers)Genome Research (13 papers)Bioinformatics (10 papers)Nature Methods (7 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesUnited KingdomMexico
In The Last Decade
Michael C. Schatz
147 papers receiving 16.1k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Molecular Biology 10.3k
- Genetics 4.2k
- Plant Science 5.2k
- Horticulture 87
- Cancer Research 1.4k
Countries citing papers authored by Michael C. Schatz
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2023 | 10 | |
| 4 | 2022 | 28 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 29 | |
| 7 | 2021 | 27 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 36 | |
| 12 | 2017 | 9 | |
| 13 | GenomeScope: fast reference-free genome profiling from short reads Hit paper breakdown → | 2017 | 1125 |
| 14 | 2016 | 185 | |
| 15 | 2014 | 72 | |
| 16 | 2014 | 188 | |
| 17 | 2013 | 222 | |
| 18 | 2012 | 61 | |
| 19 | 2012 | 122 | |
| 20 | High performance computing for dna sequence alignment and assembly | 2010 | 2 |
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.