Stephen Taylor
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Hemoglobinopathies and Related Disorders
Papers in
-
- Genomics and Chromatin Dynamics 14
- RNA Research and Splicing 12
- Epigenetics and DNA Methylation 8
- Single-cell and spatial transcriptomics 6
- Immunology 17
- Immune Cell Function and Interaction 4
- Co-authors
- Douglas R. Higgs (13 shared papers)Jim R. Hughes (11 shared papers)Simon J. McGowan (10 shared papers)Richard J. Gibbons (10 shared papers)Danuta Gutowska‐Owsiak (5 shared papers)Nigel A. Roberts (2 shared papers)Graham Stuart Ogg (5 shared papers)Maryam Salimi (4 shared papers)
- Journals
- Nature Communications (6 papers)Blood (6 papers)Bioinformatics (4 papers)PLoS ONE (4 papers)Cell (3 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Stephen Taylor
90 papers receiving 6.0k citations
Stephen Taylor's Hit Papers
Peers
Comparison fields: 5 of 158
- Hematology 899
- Genetics 579
- Molecular Biology 3.6k
- Cancer Research 630
- Dermatology 371
Countries citing papers authored by Stephen Taylor
This map shows the geographic impact of Stephen Taylor'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 Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Taylor more than expected).
Fields of papers citing papers by Stephen Taylor
This network shows the impact of papers produced by Stephen Taylor. 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 Taylor. The network helps show where Stephen Taylor may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Taylor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 452 | |
| 2 | 2014 | 357 | |
| 3 | 2010 | 344 | |
| 4 | 2014 | 261 | |
| 5 | 2018 | 235 | |
| 6 | 2015 | 235 | |
| 7 | A blood atlas of COVID-19 defines hallmarks of disease severity and specificity Hit paper breakdown → | 2022 | 209 |
| 8 | 2011 | 209 | |
| 9 | 2013 | 204 | |
| 10 | 2015 | 203 | |
| 11 | 2012 | 202 | |
| 12 | 2018 | 186 | |
| 13 | 2017 | 169 | |
| 14 | 2013 | 153 | |
| 15 | 2008 | 147 | |
| 16 | 2013 | 140 | |
| 17 | 2011 | 137 | |
| 18 | 2021 | 118 | |
| 19 | 2016 | 115 | |
| 20 | 2010 | 110 |
About Stephen Taylor
Stephen Taylor is a scholar working on Molecular Biology, Immunology, Hematology, Genetics and Biophysics, having authored 91 papers that have together received 6.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (14 papers), RNA Research and Splicing (12 papers), Epigenetics and DNA Methylation (8 papers), Acute Myeloid Leukemia Research (7 papers), Single-cell and spatial transcriptomics (6 papers), Cell Image Analysis Techniques (5 papers), Colorectal Cancer Screening and Detection (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Hematology (899 citations), Genetics (579 citations), Molecular Biology (3.6k citations), Cancer Research (630 citations) and Dermatology (371 citations). Stephen Taylor has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Douglas R. Higgs, Jim R. Hughes, Simon J. McGowan, Richard J. Gibbons, Danuta Gutowska‐Owsiak, Nigel A. Roberts, Graham Stuart Ogg, Maryam Salimi, Marco De Gobbi and Magnus Lynch. Their work appears in journals such as Nature Communications, Blood, Bioinformatics, PLoS ONE and Cell.
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.