Jane Synnergren

2.6k citations
58 papers · 1.7k · 1 hit paper · h-index 22

Impact in

  • Neurology top 5%
    • Barrier Structure and Function Studies
  • Hepatology top 5%
    • Liver physiology and pathology

Papers in

Jane Synnergren

54 papers receiving 1.6k citations

Jane Synnergren's Hit Papers

Multimodal deep learning for biomedical data fusion: a review 2021 · 341 citations
3410+1+3Years since publication100200300

Peers

Jane Synnergren
Comparison fields: 5 of 137
  • Neurology 182
  • Hepatology 133
  • Molecular Biology 877
  • Health Informatics 15
  • Developmental Neuroscience 41
Replace Rajanikanth Vadigepalli with:
Rajanikanth Vadigepalli United States
Liwen Liu China
Haitao Sun China
Ling Xie China
Ingeborg Stalmans Belgium
Liu Liu China
Zhuo‐Xian Meng China
Jane Synnergren relative to Rajanikanth Vadigepalli United States Rajanikanth Vadigepalli's profile →
Citations per field
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Rajanikanth Vadigepalli · 1×
Citations per year

Countries citing papers authored by Jane Synnergren

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jane Synnergren Line = papers co-authored together Jane Synnergren links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2021341
2 201791
3 201879
4 201476
5 201872
6 200867
7 201466
8 202363
9 201159
10 200755
11 201053
12 201250
13 202048
14 201647
15 201143
16 201137
17 201631
18 201830
19 201829
20 202426

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 1.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (20 papers), Congenital heart defects research (8 papers), 3D Printing in Biomedical Research (8 papers), Tissue Engineering and Regenerative Medicine (7 papers), Liver physiology and pathology (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 (182 citations), Hepatology (133 citations), Molecular Biology (877 citations), Health Informatics (15 citations) and Developmental Neuroscience (41 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, Caroline Améen, Ryan Hicks, Louise Delsing, Henrik Zetterberg and Björn Olsson. Their work appears in journals such as Physiological Genomics, Stem Cells, Stem Cells and Development, Journal of Biotechnology and Life.

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.

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