Casey A. Schmidt
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA regulation and disease
Papers in
-
- RNA Research and Splicing 12
- RNA modifications and cancer 8
- Circular RNAs in diseases 6
- RNA and protein synthesis mechanisms 3
- Nuclear Structure and Function 1
- Co-authors
- A. Gregory Matera (11 shared papers)John J. Noto (4 shared papers)Grigory S. Filonov (3 shared papers)Zhipeng Lu (2 shared papers)Talia Hatkevich (2 shared papers)Ying Wen (1 shared paper)Samie R. Jaffrey (2 shared papers)Anita K. Hopper (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)G3 Genes Genomes Genetics (1 paper)RNA Biology (1 paper)Wiley Interdisciplinary Reviews - RNA (1 paper)Experimental Cell Research (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Casey A. Schmidt
14 papers receiving 552 citations
Peers
Comparison fields: 5 of 47
- Cancer Research 316
- Molecular Biology 534
- Genetics 14
- Genetics 15
- Parasitology 3
Countries citing papers authored by Casey A. Schmidt
This map shows the geographic impact of Casey A. Schmidt'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 Casey A. Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey A. Schmidt more than expected).
Fields of papers citing papers by Casey A. Schmidt
This network shows the impact of papers produced by Casey A. Schmidt. 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 Casey A. Schmidt. The network helps show where Casey A. Schmidt may publish in the future.
Co-authors
The 24 scholars most cited alongside Casey A. Schmidt, 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 | 2015 | 176 | |
| 2 | 2019 | 100 | |
| 3 | 2017 | 92 | |
| 4 | 2019 | 54 | |
| 5 | 2020 | 41 | |
| 6 | 2014 | 28 | |
| 7 | 2016 | 27 | |
| 8 | 2018 | 15 | |
| 9 | 2013 | 10 | |
| 10 | 2022 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2020 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 0 |
About Casey A. Schmidt
Casey A. Schmidt is a scholar working on Molecular Biology, Safety Research, Genetics, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 557 indexed citations. Recurring topics across this work include RNA Research and Splicing (12 papers), RNA modifications and cancer (8 papers), Circular RNAs in diseases (6 papers), RNA and protein synthesis mechanisms (3 papers), MicroRNA in disease regulation (1 paper), Nuclear Structure and Function (1 paper), Fetal and Pediatric Neurological Disorders (1 paper) and Biomedical and Engineering Education (1 paper). The work is most often cited by research in Cancer Research (316 citations), Molecular Biology (534 citations), Genetics (14 citations), Genetics (15 citations) and Parasitology (3 citations). Casey A. Schmidt has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include A. Gregory Matera, John J. Noto, Grigory S. Filonov, Zhipeng Lu, Talia Hatkevich, Ying Wen, Samie R. Jaffrey, Anita K. Hopper, Robin Evans Stanley and Xiaojun Guan. Their work appears in journals such as Nucleic Acids Research, G3 Genes Genomes Genetics, RNA Biology, Wiley Interdisciplinary Reviews - RNA and Experimental Cell Research.
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.