Stephen Sullivan
Impact in
- Hepatology top 10%
- Hepatitis C virus research
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Ion channel regulation and function
- Ion Transport and Channel Regulation
- Renal and related cancers
Papers in
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- Pluripotent Stem Cells Research 10
- CRISPR and Genetic Engineering 4
- Renal and related cancers 3
- Epigenetics and DNA Methylation 1
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- Biomedical Ethics and Regulation 4
- Co-authors
- Kevin Eggan (2 shared papers)A. Ruknudin (1 shared paper)Paul A. Welling (1 shared paper)Dan H. Schulze (1 shared paper)W. Jonathan Lederer (1 shared paper)Michael E. Field (1 shared paper)Anne McLaren (1 shared paper)Petra Hájková (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Differentiation (2 papers)Cytotherapy (2 papers)Stem Cell Research (2 papers)Current Biology (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Stephen Sullivan
18 papers receiving 407 citations
Peers
Comparison fields: 5 of 65
- Hepatology 54
- Molecular Biology 257
- Transplantation 8
- Developmental Neuroscience 9
- Genetics 23
Countries citing papers authored by Stephen Sullivan
This map shows the geographic impact of Stephen Sullivan'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 Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Sullivan more than expected).
Fields of papers citing papers by Stephen Sullivan
This network shows the impact of papers produced by Stephen Sullivan. 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 Sullivan. The network helps show where Stephen Sullivan may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Sullivan, 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 | 1998 | 70 | |
| 2 | 1995 | 53 | |
| 3 | 2006 | 48 | |
| 4 | 2020 | 39 | |
| 5 | 2024 | 32 | |
| 6 | 1993 | 30 | |
| 7 | 2006 | 23 | |
| 8 | 2006 | 23 | |
| 9 | 2020 | 22 | |
| 10 | 1997 | 16 | |
| 11 | 1995 | 14 | |
| 12 | 2007 | 11 | |
| 13 | 2007 | 11 | |
| 14 | 2006 | 7 | |
| 15 | 2009 | 7 | |
| 16 | 1995 | 6 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 1 |
About Stephen Sullivan
Stephen Sullivan is a scholar working on Molecular Biology, Physiology, Epidemiology, Genetics and Hepatology, having authored 18 papers that have together received 415 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (10 papers), Biomedical Ethics and Regulation (4 papers), CRISPR and Genetic Engineering (4 papers), Renal and related cancers (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Epigenetics and DNA Methylation (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Hepatology (54 citations), Molecular Biology (257 citations), Transplantation (8 citations), Developmental Neuroscience (9 citations) and Genetics (23 citations). Stephen Sullivan has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Kevin Eggan, A. Ruknudin, Paul A. Welling, Dan H. Schulze, W. Jonathan Lederer, Michael E. Field, Anne McLaren, Petra Hájková, Marc L. Turner and Gabriela Durcova‐Hills. Their work appears in journals such as Journal of Biological Chemistry, Differentiation, Cytotherapy, Stem Cell Research and Current Biology.
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.