Michael D. Morgan
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
Papers in
- Co-authors
- John C. MarioniAaron T. L. LunLaleh HaghverdiNeil C. HendersonEmma DannSarah A. TeichmannNils ElingDavid Sims
- Journals
- Nature Biotechnology (2 papers)Nature Reviews Genetics (2 papers)Stem Cells (1 paper)Scientific Reports (1 paper)Pharmacogenomics (1 paper)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Michael D. Morgan
23 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Biophysics 278
- Immunology 573
- Molecular Biology 1.5k
- Cancer Research 298
- Aging 18
Countries citing papers authored by Michael D. Morgan
This map shows the geographic impact of Michael D. Morgan'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 Michael D. Morgan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Morgan more than expected).
Fields of papers citing papers by Michael D. Morgan
This network shows the impact of papers produced by Michael D. Morgan. 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 Michael D. Morgan. The network helps show where Michael D. Morgan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael D. Morgan, 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 | 2023 | 23 | |
| 2 | 2022 | 41 | |
| 3 | Differential abundance testing on single-cell data using k-nearest neighbor graphs Hit paper breakdown → | 2021 | 307 |
| 4 | 2021 | 45 | |
| 5 | 2020 | 120 | |
| 6 | 2020 | 7 | |
| 7 | 2019 | 154 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 28 | |
| 10 | 2018 | 81 | |
| 11 | 2018 | 22 | |
| 12 | Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors Hit paper breakdown → | 2018 | 1228 |
| 13 | 2016 | 42 | |
| 14 | 2014 | 51 | |
| 15 | 2010 | 36 | |
| 16 | 2006 | 9 | |
| 17 | 2005 | 15 | |
| 18 | 2005 | 0 | |
| 19 | 2004 | 8 | |
| 20 | 1997 | 26 |
About Michael D. Morgan
Michael D. Morgan is a scholar working on Rheumatology, Dermatology, Cancer Research, Ocean Engineering and Immunology, having authored 25 papers that have together received 2.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Pluripotent Stem Cells Research (4 papers), Gene Regulatory Network Analysis (3 papers), Reservoir Engineering and Simulation Methods (3 papers), T-cell and B-cell Immunology (3 papers), Epigenetics and DNA Methylation (2 papers), CRISPR and Genetic Engineering (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Biophysics (278 citations), Immunology (573 citations), Molecular Biology (1.5k citations), Cancer Research (298 citations) and Aging (18 citations). Michael D. Morgan has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include John C. Marioni, Aaron T. L. Lun, Laleh Haghverdi, Neil C. Henderson, Emma Dann, Sarah A. Teichmann, Nils Eling, David Sims, Jonathan Rees and Albert Tenesa. Their work appears in journals such as Nature Biotechnology, Nature Reviews Genetics, Stem Cells, Scientific Reports and Pharmacogenomics.
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.