Mike L. Smith
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
-
- Cancer Genomics and Diagnostics
Papers in
-
- Gene expression and cancer classification 7
- Single-cell and spatial transcriptomics 6
- Bioinformatics and Genomic Networks 4
- Genomics and Phylogenetic Studies 3
- Genomics and Chromatin Dynamics 2
- Machine Learning in Bioinformatics 1
-
- Cell Image Analysis Techniques 3
- Co-authors
- Mark Dunning (3 shared papers)Matthew E. Ritchie (2 shared papers)Simon Tavaré (3 shared papers)Aaron T. L. Lun (2 shared papers)Hervé Pagès (2 shared papers)Stephanie C. Hicks (1 shared paper)Davide Risso (1 shared paper)Martin Morgan (1 shared paper)
- Journals
- Bioinformatics (2 papers)PLoS Computational Biology (2 papers)Nature Methods (1 paper)Cell Reports (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Mike L. Smith
18 papers receiving 951 citations
Mike L. Smith's Hit Papers
Peers
Comparison fields: 5 of 112
- Biophysics 65
- Cancer Research 155
- Molecular Biology 681
- Immunology 137
- Biological Psychiatry 12
Countries citing papers authored by Mike L. Smith
This map shows the geographic impact of Mike L. Smith'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 Mike L. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike L. Smith more than expected).
Fields of papers citing papers by Mike L. Smith
This network shows the impact of papers produced by Mike L. Smith. 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 Mike L. Smith. The network helps show where Mike L. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Mike L. Smith, 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 | Orchestrating single-cell analysis with Bioconductor Hit paper breakdown → | 2019 | 423 |
| 2 | 2007 | 368 | |
| 3 | 2011 | 40 | |
| 4 | 2001 | 40 | |
| 5 | 2011 | 29 | |
| 6 | 2005 | 20 | |
| 7 | 2020 | 20 | |
| 8 | 2021 | 11 | |
| 9 | 2010 | 8 | |
| 10 | 1984 | 8 | |
| 11 | 2018 | 6 | |
| 12 | 2011 | 3 | |
| 13 | 1991 | 1 | |
| 14 | BeadDataPackR: A Tool to Facilitate the Sharing of Raw Data from Illumina BeadArray Studies. | 2010 | 1 |
| 15 | 2010 | 1 | |
| 16 | 1977 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 |
About Mike L. Smith
Mike L. Smith is a scholar working on Molecular Biology, Biophysics, Aerospace Engineering, Computational Mechanics and Plant Science, having authored 19 papers that have together received 982 indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Single-cell and spatial transcriptomics (6 papers), Bioinformatics and Genomic Networks (4 papers), Cell Image Analysis Techniques (3 papers), Genomics and Phylogenetic Studies (3 papers), Genomics and Chromatin Dynamics (2 papers), Computational Fluid Dynamics and Aerodynamics (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Biophysics (65 citations), Cancer Research (155 citations), Molecular Biology (681 citations), Immunology (137 citations) and Biological Psychiatry (12 citations). Mike L. Smith has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Mark Dunning, Matthew E. Ritchie, Simon Tavaré, Aaron T. L. Lun, Hervé Pagès, Stephanie C. Hicks, Davide Risso, Martin Morgan, Wolfgang Huber and Lindsay N. Carpp. Their work appears in journals such as Bioinformatics, PLoS Computational Biology, Nature Methods, Cell Reports and BMC Bioinformatics.
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.