Frédéric Biemar

1.6k citations
18 papers · 1.3k · h-index 16

Impact in

Papers in

    • Congenital heart defects research 6
    • RNA Research and Splicing 4
    • Pluripotent Stem Cells Research 3
    • CRISPR and Genetic Engineering 3
    • Developmental Biology and Gene Regulation 3
    • Pancreatic function and diabetes 7

Frédéric Biemar

18 papers receiving 1.3k citations

Peers

Frédéric Biemar
Comparison fields: 5 of 96
  • Aging 39
  • Cell Biology 251
  • Molecular Biology 985
  • Cancer Research 204
  • Genetics 274
Replace Nicholas R. Helps with:
Nicholas R. Helps United Kingdom
Zhi-Yang Tsun United States
Shirley Horn‐Saban Israel
Koichiro Shiokawa Japan
Sandra Schneider Germany
J M Westendorf United States
Michelle J. Doyle United States
Patrick Laprise Canada
Deborah C. I. Goberdhan United Kingdom
Georges Alves France
Frédéric Biemar relative to Nicholas R. Helps United Kingdom Nicholas R. Helps's profile →
Citations per field
00.5×2.9×
Nicholas R. Helps · 1×
Citations per year

Countries citing papers authored by Frédéric Biemar

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Biemar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2001184
2 2003151
3 2005139
4 2006136
5 200088
6 199985
7 200685
8 201372
9 200571
10 200565
11 200256
12 200849
13 200644
14 201324
15 200120
16 200620
17 201015
18 20015

About Frédéric Biemar

Frédéric Biemar is a scholar working on Molecular Biology, Surgery, Cell Biology, Cancer Research and Epidemiology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Congenital heart defects research (6 papers), Zebrafish Biomedical Research Applications (4 papers), RNA Research and Splicing (4 papers), Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (3 papers), Developmental Biology and Gene Regulation (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Aging (39 citations), Cell Biology (251 citations), Molecular Biology (985 citations), Cancer Research (204 citations) and Genetics (274 citations). Frédéric Biemar has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Bernard Peers, Francesco Argenton, Joseph Martial, Wolfgang Driever, Michael Levine, Matthew Ronshaugen, Margaret Foti, Jessica Piel, J. Robert Manak and Victor Sementchenko. Their work appears in journals such as Developmental Biology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Mechanisms of Development and Genes & Development.

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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