Frédéric Bard
Impact in
- Cell Biology top 0.5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Cellular Mechanics and Interactions
- Molecular Biology top 2%
- Glycosylation and Glycoproteins Research
- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
- Bone Metabolism and Diseases
Papers in
-
- Glycosylation and Glycoproteins Research 10
- Ubiquitin and proteasome pathways 5
- Lipid Membrane Structure and Behavior 4
- Cell Biology 27
- Cellular transport and secretion 17
- Endoplasmic Reticulum Stress and Disease 7
- Cellular Mechanics and Interactions 5
- Co-authors
- Joanne Chia (15 shared papers)Vivek Malhotra (5 shared papers)Frédéric Saltel (5 shared papers)Pierre Jurdic (3 shared papers)David J. Gill (3 shared papers)Olivier Destaing (2 shared papers)Henrik Clausen (3 shared papers)Jean-Christophe Géminard (1 shared paper)
- Journals
- Nature Communications (4 papers)Molecular Biology of the Cell (3 papers)eLife (3 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)
- Partner nations
- SingaporeUnited StatesFrance
In The Last Decade
Frédéric Bard
56 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 121
- Cell Biology 1.4k
- Molecular Biology 2.9k
- Immunology and Allergy 230
- Aging 54
- Immunology 601
Countries citing papers authored by Frédéric Bard
This map shows the geographic impact of Frédéric Bard'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 Bard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Bard more than expected).
Fields of papers citing papers by Frédéric Bard
This network shows the impact of papers produced by Frédéric Bard. 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 Bard. The network helps show where Frédéric Bard may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Bard, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 381 | |
| 2 | 2010 | 367 | |
| 3 | 2006 | 291 | |
| 4 | 2004 | 232 | |
| 5 | 2004 | 209 | |
| 6 | 2010 | 191 | |
| 7 | 2006 | 172 | |
| 8 | 2010 | 158 | |
| 9 | 2013 | 155 | |
| 10 | 2015 | 152 | |
| 11 | 2016 | 111 | |
| 12 | 2017 | 110 | |
| 13 | 2014 | 109 | |
| 14 | 2012 | 105 | |
| 15 | 2003 | 89 | |
| 16 | 2014 | 71 | |
| 17 | 2014 | 69 | |
| 18 | 2016 | 68 | |
| 19 | 2015 | 59 | |
| 20 | 2011 | 52 |
About Frédéric Bard
Frédéric Bard is a scholar working on Molecular Biology, Cell Biology, Immunology, Oncology and Cancer Research, having authored 56 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cellular transport and secretion (17 papers), Glycosylation and Glycoproteins Research (10 papers), Galectins and Cancer Biology (7 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Cellular Mechanics and Interactions (5 papers), Ubiquitin and proteasome pathways (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Cell Biology (1.4k citations), Molecular Biology (2.9k citations), Immunology and Allergy (230 citations), Aging (54 citations) and Immunology (601 citations). Frédéric Bard has collaborated with scholars based in Singapore, United States and France. Frequent co-authors include Joanne Chia, Vivek Malhotra, Frédéric Saltel, Pierre Jurdic, David J. Gill, Olivier Destaing, Henrik Clausen, Jean-Christophe Géminard, Germaine Goh and Diane Eichert. Their work appears in journals such as Nature Communications, Molecular Biology of the Cell, eLife, PLoS ONE and Scientific Reports.
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.