Sam Cooper
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
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- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
Papers in
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- Single-cell and spatial transcriptomics 3
- DNA Repair Mechanisms 1
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- Cell Image Analysis Techniques 5
- Co-authors
- Chris Bakal (6 shared papers)Alexis R. Barr (2 shared papers)Heba Sailem (2 shared papers)Alan M Moses (1 shared paper)Oren Kraus (1 shared paper)Alex X. Lu (1 shared paper)Frank S. Heldt (1 shared paper)Béla Novák (1 shared paper)
- Journals
- Open Biology (1 paper)Molecular Biology of the Cell (1 paper)Assay and Drug Development Technologies (1 paper)PLoS Computational Biology (1 paper)Trends in biotechnology (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Sam Cooper
10 papers receiving 256 citations
Peers
Comparison fields: 5 of 65
- Biophysics 106
- Cell Biology 73
- Media Technology 31
- Aging 4
- Molecular Biology 127
Countries citing papers authored by Sam Cooper
This map shows the geographic impact of Sam Cooper'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 Cooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Cooper more than expected).
Fields of papers citing papers by Sam Cooper
This network shows the impact of papers produced by Sam Cooper. 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 Cooper. The network helps show where Sam Cooper may publish in the future.
Co-authors
The 24 scholars most cited alongside Sam Cooper, 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 | 2018 | 62 | |
| 2 | 2019 | 60 | |
| 3 | 2014 | 48 | |
| 4 | 2015 | 23 | |
| 5 | 2017 | 21 | |
| 6 | 2017 | 19 | |
| 7 | 2016 | 12 | |
| 8 | Look beneath the surface with augmented reality [visualization of subsurface assets] | 2002 | 5 |
| 9 | Activities derived from established human myeloid cell lines reverse the suppression of cell line colony formation by lactoferrin and transferrin. | 1986 | 4 |
| 10 | 2018 | 3 |
About Sam Cooper
Sam Cooper is a scholar working on Molecular Biology, Biophysics, Cell Biology, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 10 papers that have together received 257 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (5 papers), Single-cell and spatial transcriptomics (3 papers), Cellular Mechanics and Interactions (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Geological Modeling and Analysis (1 paper), DNA Repair Mechanisms (1 paper), Immunotherapy and Immune Responses (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Biophysics (106 citations), Cell Biology (73 citations), Media Technology (31 citations), Aging (4 citations) and Molecular Biology (127 citations). Sam Cooper has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Chris Bakal, Alexis R. Barr, Heba Sailem, Alan M Moses, Oren Kraus, Alex X. Lu, Frank S. Heldt, Béla Novák, Amine Sadok and Robert C. Glen. Their work appears in journals such as Open Biology, Molecular Biology of the Cell, Assay and Drug Development Technologies, PLoS Computational Biology and Trends in biotechnology.
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.