Jacqueline Ameri

582 citations
7 papers · 416 · h-index 7

Impact in

Papers in

    • Pancreatic function and diabetes 5
    • Congenital heart defects research 2
    • Pluripotent Stem Cells Research 2
    • Metabolism, Diabetes, and Cancer 1
    • CRISPR and Genetic Engineering 1

Jacqueline Ameri

7 papers receiving 411 citations

Peers

Jacqueline Ameri
Comparison fields: 5 of 45
  • Surgery 321
  • Endocrinology, Diabetes and Metabolism 82
  • Genetics 124
  • Molecular Biology 264
  • Hepatology 14
Replace Pia Nyeng with:
Pia Nyeng Denmark
Despina Agapitos Canada
G M Beattie United States
Anabel José Spain
Kristian Honnens de Lichtenberg Denmark
Nathalie Campanile United States
Chintan Jobaliya United States
H Brandhorst Germany
Simone Giacometti United States
Jacqueline Ameri relative to Pia Nyeng Denmark Pia Nyeng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jacqueline Ameri

Since Specialization
Citations

This map shows the geographic impact of Jacqueline Ameri'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 Jacqueline Ameri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline Ameri more than expected).

Fields of papers citing papers by Jacqueline Ameri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacqueline Ameri. 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 Jacqueline Ameri. The network helps show where Jacqueline Ameri may publish in the future.

Co-authors

The 25 scholars most cited alongside Jacqueline Ameri, 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 Jacqueline Ameri Line = papers co-authored together Jacqueline Ameri links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2009107
2 201794
3 200986
4 201746
5 201744
6 201024
7 200815

About Jacqueline Ameri

Jacqueline Ameri is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 416 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Diabetes Management and Research (2 papers), Congenital heart defects research (2 papers), Pluripotent Stem Cells Research (2 papers), Diet, Metabolism, and Disease (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Neuroscience and Neural Engineering (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Surgery (321 citations), Endocrinology, Diabetes and Metabolism (82 citations), Genetics (124 citations), Molecular Biology (264 citations) and Hepatology (14 citations). Jacqueline Ameri has collaborated with scholars based in Sweden, Denmark and France. Frequent co-authors include Henrik Semb, Martina Johannesson, Anders Ståhlberg, Raphaël Scharfmann, Cyrille Ramond, Isabella Artner, Jenny K. Johansson, Fredrik Wolfhagen Sand, Karen A. Schachter and Rehannah Borup. Their work appears in journals such as PLoS ONE, Stem Cells, eLife, Nature Cell Biology and Proceedings of the National Academy of Sciences.

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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