Stephen R. Williams

11.8k citations
38 papers · 3.3k indexed · 5 hit papers · h-index 20

Stephen R. Williams

37 papers receiving 3.2k citations

Hit Papers

High-...271993202620042015250500750

Peers

Stephen R. Williams
Comparison fields: 5 of 127
  • Biophysics 221
  • Molecular Biology 1.9k
  • Radiology, Nuclear Medicine and Imaging 508
  • Cancer Research 280
  • Neurology 143
Replace Juan M. Pascual with:
Juan M. Pascual United States
Desmond Smith United States
Ora Bernard Australia
James D. Mills Netherlands
Jacob Hecksher‐Sørensen Denmark
Edward C. Stack United States
Jens Pahnke Germany
Christopher Thrasivoulou United Kingdom
Sjoerd G. van Duinen Netherlands
Ellis Patrick Australia
Stephen R. Williams relative to Juan M. Pascual United States Juan M. Pascual's profile →
Citations per field
00.5×6.5×
Juan M. Pascual · 1×
Citations per year

Countries citing papers authored by Stephen R. Williams

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Stephen R. Williams Line = papers co-authored together Stephen R. Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
High-definition spatial transcriptomic profiling of immune cell populations in colorectal cancerbreakdown →
202527
2 20235
3
Spatial transcriptomics at subspot resolution with BayesSpacebreakdown →
2021448
4
Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortexbreakdown →
2021557
5 20216
6 20218
7 20216
8 20202
9 201899
10 201814
11 201316
12 201279
13 20119
14 2010216
15 200919
16 200961
17 20089
18 200818
19 200719
20 199586

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.

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