Jane Synnergren
Impact in
- Neurology top 5%
- Barrier Structure and Function Studies
- Hepatology top 5%
- Liver physiology and pathology
Papers in
-
- Pluripotent Stem Cells Research 19
- Congenital heart defects research 8
- CRISPR and Genetic Engineering 7
- Gene expression and cancer classification 6
-
- Cardiac Fibrosis and Remodeling 6
- Co-authors
- Benjamin Ulfenborg (12 shared papers)Sören Richard Stahlschmidt (3 shared papers)Peter Sartipy (24 shared papers)Anders Lindahl (12 shared papers)Gustav Holmgren (7 shared papers)Ryan Hicks (6 shared papers)Caroline Améen (5 shared papers)Louise Delsing (5 shared papers)
- Journals
- Physiological Genomics (7 papers)Stem Cells (4 papers)Stem Cells and Development (3 papers)Life (2 papers)ACS Omega (2 papers)
- Partner nations
- SwedenUnited KingdomNetherlands
In The Last Decade
Jane Synnergren
55 papers receiving 1.7k citations
Jane Synnergren's Hit Papers
Peers
Comparison fields: 5 of 138
- Neurology 174
- Hepatology 131
- Molecular Biology 836
- Developmental Neuroscience 39
- Cardiology and Cardiovascular Medicine 186
Countries citing papers authored by Jane Synnergren
This map shows the geographic impact of Jane Synnergren'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 Jane Synnergren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Synnergren more than expected).
Fields of papers citing papers by Jane Synnergren
This network shows the impact of papers produced by Jane Synnergren. 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 Jane Synnergren. The network helps show where Jane Synnergren may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Synnergren, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multimodal deep learning for biomedical data fusion: a review Hit paper breakdown → | 2021 | 390 |
| 2 | 2017 | 94 | |
| 3 | 2018 | 85 | |
| 4 | 2014 | 76 | |
| 5 | 2018 | 74 | |
| 6 | 2023 | 70 | |
| 7 | 2008 | 67 | |
| 8 | 2014 | 66 | |
| 9 | 2011 | 59 | |
| 10 | 2007 | 55 | |
| 11 | 2020 | 55 | |
| 12 | 2010 | 54 | |
| 13 | 2012 | 50 | |
| 14 | 2016 | 47 | |
| 15 | 2011 | 43 | |
| 16 | 2011 | 37 | |
| 17 | 2016 | 32 | |
| 18 | 2024 | 31 | |
| 19 | 2018 | 30 | |
| 20 | 2018 | 30 |
About Jane Synnergren
Jane Synnergren is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Biomedical Engineering and Hepatology, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (19 papers), Congenital heart defects research (8 papers), Liver physiology and pathology (7 papers), Tissue Engineering and Regenerative Medicine (7 papers), 3D Printing in Biomedical Research (7 papers), CRISPR and Genetic Engineering (7 papers), Cardiac Fibrosis and Remodeling (6 papers) and Gene expression and cancer classification (6 papers). The work is most often cited by research in Neurology (174 citations), Hepatology (131 citations), Molecular Biology (836 citations), Developmental Neuroscience (39 citations) and Cardiology and Cardiovascular Medicine (186 citations). Jane Synnergren has collaborated with scholars based in Sweden, United Kingdom and Netherlands. Frequent co-authors include Benjamin Ulfenborg, Sören Richard Stahlschmidt, Peter Sartipy, Anders Lindahl, Gustav Holmgren, Ryan Hicks, Caroline Améen, Louise Delsing, Henrik Zetterberg and Björn Olsson. Their work appears in journals such as Physiological Genomics, Stem Cells, Stem Cells and Development, Life and ACS Omega.
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.