Sam Kovaka
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Circular RNAs in diseases
Papers in
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- Genomics and Phylogenetic Studies 7
- RNA modifications and cancer 5
- RNA and protein synthesis mechanisms 3
- Molecular Biology Techniques and Applications 2
- Epigenetics and DNA Methylation 1
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- Algorithms and Data Compression 2
- Co-authors
- Roham Razaghi (2 shared papers)Geo Pertea (1 shared paper)Aleksey V. Zimin (1 shared paper)Mihaela Pertea (1 shared paper)Steven L. Salzberg (1 shared paper)Michael C. Schatz (7 shared papers)Winston Timp (2 shared papers)Bohan Ni (1 shared paper)
- Journals
- Nature Methods (2 papers)iScience (1 paper)Bioinformatics (1 paper)Genome Biology and Evolution (1 paper)Algorithms for Molecular Biology (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Sam Kovaka
10 papers receiving 1.4k citations
Sam Kovaka's Hit Papers
Peers
Comparison fields: 5 of 109
- Cancer Research 236
- Molecular Biology 937
- Horticulture 11
- Plant Science 404
- Genetics 191
Countries citing papers authored by Sam Kovaka
This map shows the geographic impact of Sam Kovaka'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 Sam Kovaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Kovaka more than expected).
Fields of papers citing papers by Sam Kovaka
This network shows the impact of papers produced by Sam Kovaka. 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 Sam Kovaka. The network helps show where Sam Kovaka may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Kovaka, 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 | Transcriptome assembly from long-read RNA-seq alignments with StringTie2 Hit paper breakdown → | 2019 | 1057 |
| 2 | 2020 | 156 | |
| 3 | 2018 | 53 | |
| 4 | 2023 | 37 | |
| 5 | 2018 | 32 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 13 | |
| 8 | 2025 | 13 | |
| 9 | 2024 | 6 | |
| 10 | 2025 | 1 |
About Sam Kovaka
Sam Kovaka is a scholar working on Molecular Biology, Artificial Intelligence, Biomedical Engineering, Pharmacology and Ecology, Evolution, Behavior and Systematics, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (3 papers), Molecular Biology Techniques and Applications (2 papers), Nanopore and Nanochannel Transport Studies (2 papers), Algorithms and Data Compression (2 papers), Epigenetics and DNA Methylation (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cancer Research (236 citations), Molecular Biology (937 citations), Horticulture (11 citations), Plant Science (404 citations) and Genetics (191 citations). Sam Kovaka has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Roham Razaghi, Geo Pertea, Aleksey V. Zimin, Mihaela Pertea, Steven L. Salzberg, Michael C. Schatz, Winston Timp, Bohan Ni, Yunfan Fan and Katharine M. Jenike. Their work appears in journals such as Nature Methods, iScience, Bioinformatics, Genome Biology and Evolution and Algorithms for Molecular Biology.
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.