Stephen Dalton
- Molecular Biology top 0.2%
- Pluripotent Stem Cells Research 48
- CRISPR and Genetic Engineering 34
- Genomics and Chromatin Dynamics 27
- Epigenetics and DNA Methylation 24
- Renal and related cancers 11
- DNA Repair Mechanisms 9
- Glycosylation and Glycoproteins Research 7
- Immunology and Allergy top 0.5%
- Hepatology top 1%
- Cancer Research top 1%
- Aging top 2%
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- Pancreatic function and diabetes 10
- Co-authors
- Richard TreismanAmar M. SinghMichael KulikXiaozhu HuangNaftali KaminskiMark GriffithsMichael A. MatthayJean‐François Pittet
- Journals
- Molecular and Cellular Biology (11 papers)Cell stem cell (8 papers)Stem Cell Reports (5 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Stephen Dalton
124 papers receiving 13.9k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 11.0k
- Immunology and Allergy 654
- Hepatology 712
- Cancer Research 1.3k
- Aging 144
Countries citing papers authored by Stephen Dalton
This map shows the geographic impact of Stephen Dalton'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 Dalton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Dalton more than expected).
Fields of papers citing papers by Stephen Dalton
This network shows the impact of papers produced by Stephen Dalton. 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 Dalton. The network helps show where Stephen Dalton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen Dalton, 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 | 8 | |
| 2 | 2021 | 101 | |
| 3 | 2017 | 108 | |
| 4 | 2016 | 18 | |
| 5 | 2015 | 110 | |
| 6 | 2014 | 101 | |
| 7 | 2013 | 60 | |
| 8 | 2012 | 277 | |
| 9 | 2012 | 138 | |
| 10 | 2012 | 71 | |
| 11 | 2010 | 440 | |
| 12 | 2009 | 246 | |
| 13 | 2009 | 18 | |
| 14 | 2005 | 132 | |
| 15 | 2000 | 149 | |
| 16 | A Mechanism for Regulating Pulmonary Inflammation and Fibrosis: The Integrin αvβ6 Binds and Activates Latent TGF β1breakdown → | 1999 | 1641 |
| 17 | 1993 | 22 | |
| 18 | 1992 | 382 | |
| 19 | 1988 | 29 | |
| 20 | 1988 | 36 |
About Stephen Dalton
Stephen Dalton is a scholar working on Molecular Biology, Aging and Cell Biology, having authored 125 papers that have together received 14.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (48 papers), CRISPR and Genetic Engineering (34 papers), Genomics and Chromatin Dynamics (27 papers), Epigenetics and DNA Methylation (24 papers), Renal and related cancers (11 papers), Pancreatic function and diabetes (10 papers), DNA Repair Mechanisms (9 papers) and Glycosylation and Glycoproteins Research (7 papers). The work is most often cited by research in Molecular Biology (11.0k citations), Immunology and Allergy (654 citations) and Hepatology (712 citations). Stephen Dalton has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Richard Treisman, Amar M. Singh, Michael Kulik, Xiaozhu Huang, Naftali Kaminski, Mark Griffiths, Michael A. Matthay, Jean‐François Pittet, Dean Sheppard and Hisaaki Kawakatsu. Their work appears in journals such as Molecular and Cellular Biology, Cell stem cell, Stem Cell Reports, Cell and Journal of Biological Chemistry.
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.