Steve D. Oh
Impact in
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Fungal and yeast genetics research
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Gut microbiota and health
- Photosynthetic Processes and Mechanisms
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
-
- DNA Repair Mechanisms 6
- Mitochondrial Function and Pathology 2
- Fungal and yeast genetics research 2
- Photosynthetic Processes and Mechanisms 2
- Ubiquitin and proteasome pathways 1
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- Microtubule and mitosis dynamics 3
- Co-authors
- Neil Hunter (6 shared papers)Jessica P. Lao (4 shared papers)Cheryl Heiner (4 shared papers)Andrew F. Taylor (2 shared papers)Akira Shinohara (2 shared papers)Gerald R. Smith (2 shared papers)Miki Shinohara (2 shared papers)Sarah McGill (1 shared paper)
- Journals
- Molecular Cell (2 papers)Current Biology (1 paper)Nature (1 paper)Cell (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Steve D. Oh
10 papers receiving 1.5k citations
Steve D. Oh's Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.1k
- Cell Biology 204
- Cancer Research 111
- Aging 14
- Plant Science 285
Countries citing papers authored by Steve D. Oh
This map shows the geographic impact of Steve D. Oh'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 Steve D. Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve D. Oh more than expected).
Fields of papers citing papers by Steve D. Oh
This network shows the impact of papers produced by Steve D. Oh. 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 Steve D. Oh. The network helps show where Steve D. Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve D. Oh, 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 | High-throughput amplicon sequencing of the full-length 16S rRNA gene with single-nucleotide resolution Hit paper breakdown → | 2019 | 451 |
| 2 | 2007 | 228 | |
| 3 | 2010 | 188 | |
| 4 | 2008 | 175 | |
| 5 | 2008 | 136 | |
| 6 | 2017 | 118 | |
| 7 | 2008 | 104 | |
| 8 | 2016 | 49 | |
| 9 | 2009 | 43 | |
| 10 | 2016 | 39 |
About Steve D. Oh
Steve D. Oh is a scholar working on Molecular Biology, Cell Biology, Ecology, Oncology and Epidemiology, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Microtubule and mitosis dynamics (3 papers), Mitochondrial Function and Pathology (2 papers), Fungal and yeast genetics research (2 papers), Microbial Community Ecology and Physiology (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Ubiquitin and proteasome pathways (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Cell Biology (204 citations), Cancer Research (111 citations), Aging (14 citations) and Plant Science (285 citations). Steve D. Oh has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Neil Hunter, Jessica P. Lao, Cheryl Heiner, Andrew F. Taylor, Akira Shinohara, Gerald R. Smith, Miki Shinohara, Sarah McGill, Casey M. Theriot and Michael Dougherty. Their work appears in journals such as Molecular Cell, Current Biology, Nature, Cell and Nucleic Acids 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.