Paul J. Sample
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
Papers in
-
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 3
- RNA regulation and disease 1
- Single-cell and spatial transcriptomics 1
-
- Mass Spectrometry Techniques and Applications 1
- Advanced Proteomics Techniques and Applications 1
- Co-authors
- Georg Seelig (2 shared papers)Anna Kuchina (1 shared paper)Charles M. Roco (1 shared paper)Drew L. Sellers (1 shared paper)Zizhen Yao (1 shared paper)Richard A. Muscat (1 shared paper)Lucas T. Graybuck (1 shared paper)Suzie Hwang Pun (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)RNA (1 paper)Molecular Cell (1 paper)Science (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesCzechiaCanada
In The Last Decade
Paul J. Sample
7 papers receiving 1.4k citations
Paul J. Sample's Hit Papers
Peers
Comparison fields: 5 of 76
- Developmental Neuroscience 70
- Molecular Biology 1.1k
- Neurology 27
- Cellular and Molecular Neuroscience 40
- Genetics 71
Countries citing papers authored by Paul J. Sample
This map shows the geographic impact of Paul J. 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 J. 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 J. Sample more than expected).
Fields of papers citing papers by Paul J. Sample
This network shows the impact of papers produced by Paul J. 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 J. Sample. The network helps show where Paul J. Sample may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul J. 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 | 1022 |
| 2 | 2019 | 299 | |
| 3 | 2015 | 50 | |
| 4 | 2015 | 25 | |
| 5 | 2013 | 23 | |
| 6 | 2013 | 23 | |
| 7 | 2011 | 1 |
About Paul J. Sample
Paul J. Sample is a scholar working on Molecular Biology, Spectroscopy, Epidemiology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 7 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (3 papers), Trypanosoma species research and implications (1 paper), RNA regulation and disease (1 paper), Mass Spectrometry Techniques and Applications (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Developmental Neuroscience (70 citations), Molecular Biology (1.1k citations), Neurology (27 citations), Cellular and Molecular Neuroscience (40 citations) and Genetics (71 citations). Paul J. Sample has collaborated with scholars based in United States, Czechia and Canada. Frequent co-authors include Georg Seelig, Anna Kuchina, Charles M. Roco, Drew L. Sellers, Zizhen Yao, Richard A. Muscat, Lucas T. Graybuck, Suzie Hwang Pun, Bosiljka Tasic and David J. Peeler. Their work appears in journals such as Nucleic Acids Research, RNA, Molecular Cell, Science and Nature 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.