Bernard Peers

4.2k citations
58 papers · 3.0k · h-index 32

Impact in

Papers in

    • Congenital heart defects research 17
    • Pluripotent Stem Cells Research 7
    • Genomics and Chromatin Dynamics 4
    • Pancreatic function and diabetes 34

Bernard Peers

56 papers receiving 3.0k citations

Peers

Bernard Peers
Comparison fields: 5 of 94
  • Genetics 1.2k
  • Endocrinology, Diabetes and Metabolism 646
  • Cell Biology 560
  • Surgery 1.4k
  • Molecular Biology 1.9k
Replace Beatriz Sosa‐Pineda with:
Beatriz Sosa‐Pineda United States
Michael Ray United States
Paolo Chieffi Italy
Simona Chera Norway
Maike Sander United States
Michelina Plateroti France
Anthony Antonellis United States
Joan‐Marc Servitja Spain
Mariastella Zannini Italy
Maike Sander United States
Bernard Peers relative to Beatriz Sosa‐Pineda United States Beatriz Sosa‐Pineda's profile →
Citations per field
00.5×2.7×
Beatriz Sosa‐Pineda · 1×
Citations per year

Countries citing papers authored by Bernard Peers

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Peers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bernard Peers, 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 Bernard Peers Line = papers co-authored together Bernard Peers 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 1993293
2 2001184
3 1994179
4 2011151
5 2003151
6 1995135
7 2009113
8 2008100
9 200199
10 200491
11 199985
12 201576
13 199170
14 199169
15 199068
16 200565
17 201264
18 199461
19 200256
20 198954

About Bernard Peers

Bernard Peers is a scholar working on Molecular Biology, Surgery, Genetics, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 58 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (34 papers), Congenital heart defects research (17 papers), Zebrafish Biomedical Research Applications (12 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Genetics and Neurodevelopmental Disorders (9 papers), Pluripotent Stem Cells Research (7 papers), Diabetes and associated disorders (5 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Genetics (1.2k citations), Endocrinology, Diabetes and Metabolism (646 citations), Cell Biology (560 citations), Surgery (1.4k citations) and Molecular Biology (1.9k citations). Bernard Peers has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Marc Montminy, Marianne L. Voz, Joseph Martial, Frédéric Biemar, James Leonard, Ted W. Johnson, Alexandra Belayew, Isabelle Manfroid, Francesco Argenton and Sang Yeoup Lee. Their work appears in journals such as Developmental Biology, Molecular and Cellular Biology, Molecular Endocrinology, Journal of Biological Chemistry and BMC 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.

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