Paul Sample
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
Papers in
-
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 5
- Genomics and Phylogenetic Studies 2
- Single-cell and spatial transcriptomics 1
- RNA Research and Splicing 1
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- SARS-CoV-2 detection and testing 1
- Co-authors
- Georg Seelig (2 shared papers)Zizhen Yao (1 shared paper)Alexander Rosenberg (1 shared paper)Lucas T. Graybuck (1 shared paper)David J. Peeler (1 shared paper)Sumit Mukherjee (1 shared paper)Wei Chen (1 shared paper)Drew L. Sellers (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Molecular Cell (1 paper)Science (1 paper)Nature Biotechnology (1 paper)RNA (1 paper)
- Partner nations
- United StatesCzechiaCanada
In The Last Decade
Paul Sample
7 papers receiving 1.2k citations
Paul Sample's Hit Papers
Peers
Comparison fields: 5 of 93
- Biophysics 102
- Molecular Biology 1.1k
- Developmental Neuroscience 53
- Cancer Research 184
- Neurology 91
Countries citing papers authored by Paul Sample
This map shows the geographic impact of Paul Sample'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 Paul Sample with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Sample more than expected).
Fields of papers citing papers by Paul Sample
This network shows the impact of papers produced by Paul Sample. 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 Paul Sample. The network helps show where Paul Sample may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Sample, 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 | Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding Hit paper breakdown → | 2018 | 877 |
| 2 | 2019 | 240 | |
| 3 | 2015 | 49 | |
| 4 | 2015 | 24 | |
| 5 | 2013 | 24 | |
| 6 | 2013 | 20 | |
| 7 | 1958 | 2 |
About Paul Sample
Paul Sample is a scholar working on Molecular Biology, Infectious Diseases, Chemical Health and Safety, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (5 papers), Genomics and Phylogenetic Studies (2 papers), Single-cell and spatial transcriptomics (1 paper), RNA Research and Splicing (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Boron Compounds in Chemistry (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Biophysics (102 citations), Molecular Biology (1.1k citations), Developmental Neuroscience (53 citations), Cancer Research (184 citations) and Neurology (91 citations). Paul Sample has collaborated with scholars based in United States, Czechia and Canada. Frequent co-authors include Georg Seelig, Zizhen Yao, Alexander Rosenberg, Lucas T. Graybuck, David J. Peeler, Sumit Mukherjee, Wei Chen, Drew L. Sellers, Bosiljka Tasic and Suzie H. Pun. Their work appears in journals such as Nucleic Acids Research, Molecular Cell, Science, Nature Biotechnology and RNA.
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.