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 10%
- Microtubule and mitosis dynamics
Papers in
-
- DNA Repair Mechanisms 6
- Fungal and yeast genetics research 2
- Photosynthetic Processes and Mechanisms 2
- Mitochondrial Function and Pathology 2
- Biochemical and Molecular Research 1
- Protist diversity and phylogeny 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)Gerald R. Smith (2 shared papers)Andrew F. Taylor (2 shared papers)Miki Shinohara (2 shared papers)Akira Shinohara (2 shared papers)Joan Wong (1 shared paper)
- Journals
- Molecular Cell (2 papers)Nature Genetics (1 paper)BMC Genomics (1 paper)Current Biology (1 paper)Nature (1 paper)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Steve D. Oh
10 papers receiving 1.5k citations
Steve D. Oh's Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.2k
- Cell Biology 208
- Aging 15
- Plant Science 286
- Cancer Research 115
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 | 433 |
| 2 | 2007 | 224 | |
| 3 | 2010 | 185 | |
| 4 | 2008 | 171 | |
| 5 | 2008 | 135 | |
| 6 | 2017 | 114 | |
| 7 | 2008 | 102 | |
| 8 | 2016 | 48 | |
| 9 | 2009 | 42 | |
| 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), Fungal and yeast genetics research (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Microbial Community Ecology and Physiology (2 papers), Mitochondrial Function and Pathology (2 papers), Biochemical and Molecular Research (1 paper) and Protist diversity and phylogeny (1 paper). The work is most often cited by research in Molecular Biology (1.2k citations), Cell Biology (208 citations), Aging (15 citations), Plant Science (286 citations) and Cancer Research (115 citations). Steve D. Oh has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Neil Hunter, Jessica P. Lao, Cheryl Heiner, Gerald R. Smith, Andrew F. Taylor, Miki Shinohara, Akira Shinohara, Joan Wong, Sarah McGill and Ajay Gulati. Their work appears in journals such as Molecular Cell, Nature Genetics, BMC Genomics, Current Biology and Nature.
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.