Geoff Stanley
Impact in
Papers in
-
- Single-cell and spatial transcriptomics 7
- CRISPR and Genetic Engineering 2
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- Neuroinflammation and Neurodegeneration Mechanisms 4
- Co-authors
- Stephen R. Quake (4 shared papers)Thomas C. Südhof (3 shared papers)Özgün Gökçe (3 shared papers)Robert Malenka (2 shared papers)Andy Y. Shih (1 shared paper)Patrick D. Lyden (1 shared paper)Pablo Blinder (1 shared paper)David Kleinfeld (1 shared paper)
- Journals
- Nature Reviews Methods Primers (2 papers)Nature Methods (1 paper)Journal of Clinical Oncology (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Geoff Stanley
12 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Neurology 202
- Aging 28
- Biophysics 80
- Cellular and Molecular Neuroscience 216
- Molecular Biology 813
Countries citing papers authored by Geoff Stanley
This map shows the geographic impact of Geoff Stanley'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 Geoff Stanley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoff Stanley more than expected).
Fields of papers citing papers by Geoff Stanley
This network shows the impact of papers produced by Geoff Stanley. 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 Geoff Stanley. The network helps show where Geoff Stanley may publish in the future.
Co-authors
The 25 scholars most cited alongside Geoff Stanley, 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 | 2016 | 283 | |
| 2 | High-content CRISPR screening Hit paper breakdown → | 2022 | 276 |
| 3 | 2012 | 257 | |
| 4 | High-content CRISPR screening Hit paper breakdown → | 2022 | 170 |
| 5 | 2018 | 155 | |
| 6 | 2019 | 82 | |
| 7 | 2018 | 53 | |
| 8 | 2021 | 19 | |
| 9 | Estimation of lactation persistency in crossbred grazing dairy cattle | 2005 | 5 |
| 10 | Friesian Jersey crossbred trial: Generating phenotypes for the discovery of quantitative trait loci | 2004 | 4 |
| 11 | 2016 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2025 | 0 |
About Geoff Stanley
Geoff Stanley is a scholar working on Molecular Biology, Neurology, Cancer Research, Genetics and Biophysics, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cancer Genomics and Diagnostics (3 papers), Cell Image Analysis Techniques (2 papers), CRISPR and Genetic Engineering (2 papers), Genetic and phenotypic traits in livestock (1 paper), Lung Cancer Diagnosis and Treatment (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Neurology (202 citations), Aging (28 citations), Biophysics (80 citations), Cellular and Molecular Neuroscience (216 citations) and Molecular Biology (813 citations). Geoff Stanley has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Stephen R. Quake, Thomas C. Südhof, Özgün Gökçe, Robert Malenka, Andy Y. Shih, Patrick D. Lyden, Pablo Blinder, David Kleinfeld, Beth Friedman and Philbert S. Tsai. Their work appears in journals such as Nature Reviews Methods Primers, Nature Methods, Journal of Clinical Oncology, Nature Communications and Cell Reports.
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.