Stephen R. Williams
- Biophysics top 1%
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics 5
- Congenital heart defects research 4
- RNA regulation and disease 3
- Epigenetics and DNA Methylation 3
- Cancer Research top 10%
- Neurology top 5%
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- Genomic variations and chromosomal abnormalities 5
- Genetics and Neurodevelopmental Disorders 5
- Genetic Associations and Epidemiology 4
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- Folate and B Vitamins Research 3
- Co-authors
- Mark NobleDG GadianJutta UrenjakSarah H. ElseaCedric R. UytingcoSarah E. TaylorRaphaël GottardoMatthew R. Stone
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Stephen R. Williams
37 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Biophysics 221
- Molecular Biology 1.9k
- Radiology, Nuclear Medicine and Imaging 508
- Cancer Research 280
- Neurology 143
Countries citing papers authored by Stephen R. Williams
This map shows the geographic impact of Stephen R. Williams'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 Stephen R. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen R. Williams more than expected).
Fields of papers citing papers by Stephen R. Williams
This network shows the impact of papers produced by Stephen R. Williams. 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 Stephen R. Williams. The network helps show where Stephen R. Williams may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen R. Williams, 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 | High-definition spatial transcriptomic profiling of immune cell populations in colorectal cancerbreakdown → | 2025 | 27 |
| 2 | 2023 | 5 | |
| 3 | Spatial transcriptomics at subspot resolution with BayesSpacebreakdown → | 2021 | 448 |
| 4 | Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortexbreakdown → | 2021 | 557 |
| 5 | 2021 | 6 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 2 | |
| 9 | 2018 | 99 | |
| 10 | 2018 | 14 | |
| 11 | 2013 | 16 | |
| 12 | 2012 | 79 | |
| 13 | 2011 | 9 | |
| 14 | 2010 | 216 | |
| 15 | 2009 | 19 | |
| 16 | 2009 | 61 | |
| 17 | 2008 | 9 | |
| 18 | 2008 | 18 | |
| 19 | 2007 | 19 | |
| 20 | 1995 | 86 |
About Stephen R. Williams
Stephen R. Williams is a scholar working on Genetics, Molecular Biology and Biochemistry, having authored 38 papers that have together received 3.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Genomic variations and chromosomal abnormalities (5 papers), Genetics and Neurodevelopmental Disorders (5 papers), Congenital heart defects research (4 papers), Genetic Associations and Epidemiology (4 papers), RNA regulation and disease (3 papers), Epigenetics and DNA Methylation (3 papers) and Folate and B Vitamins Research (3 papers). The work is most often cited by research in Biophysics (221 citations), Molecular Biology (1.9k citations) and Radiology, Nuclear Medicine and Imaging (508 citations). Stephen R. Williams has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Mark Noble, DG Gadian, Jutta Urenjak, Sarah H. Elsea, Cedric R. Uytingco, Sarah E. Taylor, Raphaël Gottardo, Matthew R. Stone, Jamie Guenthoer and Thomas H. Pulliam.
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.