William Stephenson
- Molecular Biology top 5%
- Immunology top 5%
- Cancer Research top 5%
- Oncology top 10%
- Biophysics top 1%
- Co-authors
- Rahul SatijaHarold SwerdlowPeter SmibertMarlon StoeckiusPratip K. ChattopadhyayChristoph HafemeisterBrian Houck‐LoomisH. T. Clifford
- Topics
- Single-cell and spatial transcriptomics (8 papers)RNA and protein synthesis mechanisms (8 papers)RNA Research and Splicing (7 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
William Stephenson
36 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Molecular Biology 2.0k
- Immunology 766
- Cancer Research 399
- Oncology 348
- Biophysics 290
Countries citing papers authored by William Stephenson
This map shows the geographic impact of William Stephenson'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 William Stephenson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Stephenson more than expected).
Fields of papers citing papers by William Stephenson
This network shows the impact of papers produced by William Stephenson. 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 William Stephenson. The network helps show where William Stephenson may publish in the future.
Co-authorship network of co-authors of William Stephenson
This figure shows the co-authorship network connecting the top 25 collaborators of William Stephenson. A scholar is included among the top collaborators of William Stephenson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William Stephenson. William Stephenson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 10 | |
| 4 | Single-cell proteomics enabled by next-generation sequencing or mass spectrometrybreakdown → | 204 |
| 5 | 6 | |
| 6 | Approximate Cross-Validation in High Dimensions with Guarantees | 3 |
| 7 | 240 | |
| 8 | 10 | |
| 9 | Simultaneous epitope and transcriptome measurement in single cellsbreakdown → | 1786 |
| 10 | Scalable adaptation of state complexity for nonparametric hidden Markov models | 11 |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 24 | |
| 14 | 26 | |
| 15 | 23 | |
| 16 | 26 | |
| 17 | 33 | |
| 18 | 22 | |
| 19 | 44 | |
| 20 | 13 |
About William Stephenson
William Stephenson is a scholar working on Molecular Biology, Otorhinolaryngology and Cancer Research, having authored 37 papers that have together received 3.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), RNA and protein synthesis mechanisms (8 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Biophysics (290 citations), Immunology (766 citations) and Molecular Biology (2.0k citations). William Stephenson has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Rahul Satija, Harold Swerdlow, Peter Smibert, Marlon Stoeckius, Pratip K. Chattopadhyay, Christoph Hafemeister, Brian Houck‐Loomis, H. T. Clifford, J. W. Carmichael and Spyros Darmanis. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.
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.