Richard O’Laughlin
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Gene Regulatory Network Analysis
- Pluripotent Stem Cells Research
- Fungal and yeast genetics research
- Single-cell and spatial transcriptomics
- CRISPR and Genetic Engineering
Papers in
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- Gene Regulatory Network Analysis 5
- Pluripotent Stem Cells Research 3
- CRISPR and Genetic Engineering 3
- Single-cell and spatial transcriptomics 2
- Fungal and yeast genetics research 2
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- Microfluidic and Capillary Electrophoresis Applications 2
- 3D Printing in Biomedical Research 2
- Co-authors
- Jeff Hasty (9 shared papers)Nan Hao (9 shared papers)Lev S. Tsimring (6 shared papers)Yang Li (5 shared papers)Lorraine Pillus (5 shared papers)Meng Jin (4 shared papers)Philip Bittihn (2 shared papers)Hongjun Song (3 shared papers)
- Journals
- Current Opinion in Neurobiology (2 papers)Scientific Reports (1 paper)Science (1 paper)ACS Synthetic Biology (1 paper)Cell Systems (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Richard O’Laughlin
11 papers receiving 294 citations
Peers
Comparison fields: 5 of 57
- Aging 94
- Molecular Biology 237
- Developmental Neuroscience 14
- Endocrine and Autonomic Systems 20
- Biophysics 15
Countries citing papers authored by Richard O’Laughlin
This map shows the geographic impact of Richard O’Laughlin'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 Richard O’Laughlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard O’Laughlin more than expected).
Fields of papers citing papers by Richard O’Laughlin
This network shows the impact of papers produced by Richard O’Laughlin. 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 Richard O’Laughlin. The network helps show where Richard O’Laughlin may publish in the future.
Co-authors
The 25 scholars most cited alongside Richard O’Laughlin, 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 | 2020 | 77 | |
| 2 | 2017 | 58 | |
| 3 | 2024 | 51 | |
| 4 | 2019 | 37 | |
| 5 | 2022 | 25 | |
| 6 | 2019 | 17 | |
| 7 | 2022 | 16 | |
| 8 | 2018 | 13 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2025 | 1 | |
| 12 | 2023 | 1 |
About Richard O’Laughlin
Richard O’Laughlin is a scholar working on Molecular Biology, Biomedical Engineering, Aging, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 302 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (3 papers), Single-cell and spatial transcriptomics (2 papers), Fungal and yeast genetics research (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Aging (94 citations), Molecular Biology (237 citations), Developmental Neuroscience (14 citations), Endocrine and Autonomic Systems (20 citations) and Biophysics (15 citations). Richard O’Laughlin has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Jeff Hasty, Nan Hao, Lev S. Tsimring, Yang Li, Lorraine Pillus, Meng Jin, Philip Bittihn, Hongjun Song, Guo‐li Ming and Yanfei Jiang. Their work appears in journals such as Current Opinion in Neurobiology, Scientific Reports, Science, ACS Synthetic Biology and Cell Systems.
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.