Daniel Bouvard

3.2k citations
46 papers · 2.6k · h-index 27

Impact in

Papers in

Daniel Bouvard

46 papers receiving 2.6k citations

Peers

Daniel Bouvard
Comparison fields: 5 of 95
  • Immunology and Allergy 1.1k
  • Cell Biology 957
  • Cancer Research 278
  • Molecular Biology 1.2k
  • Oncology 445
Replace Maryse Bailly with:
Maryse Bailly United Kingdom
Sarita K. Sastry United States
Neil A. Hotchin United Kingdom
Jan F. Talts Sweden
Olivier Destaing France
Veli‐Pekka Lehto Finland
Su Hao Lo United States
Xi Zhan United States
Arjan van der Flier United States
Karl‐Heinz Heider Austria
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Citations per field
00.5×1.6×
Maryse Bailly · 1×
Citations per year

Countries citing papers authored by Daniel Bouvard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bouvard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002210
2 2008208
3 2001195
4 2013192
5 2002181
6 2008135
7 2010103
8 2011100
9 201795
10 200290
11 201388
12 200881
13 201381
14 200576
15 200376
16 200172
17 200755
18 201651
19 199848
20 200848

About Daniel Bouvard

Daniel Bouvard is a scholar working on Immunology and Allergy, Cell Biology, Molecular Biology, Oncology and Cancer Research, having authored 46 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (31 papers), Cellular Mechanics and Interactions (20 papers), Hippo pathway signaling and YAP/TAZ (7 papers), Protease and Inhibitor Mechanisms (5 papers), Biochemical and Structural Characterization (4 papers), Force Microscopy Techniques and Applications (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Immunology and Allergy (1.1k citations), Cell Biology (957 citations), Cancer Research (278 citations), Molecular Biology (1.2k citations) and Oncology (445 citations). Daniel Bouvard has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Marc R. Block, Reinhard Fässler, Cord Brakebusch, Corinne Albigès‐Rizo, Takao Sakai, Fabio Stanchi, Angélique Millon‐Frémillon, Nicola De Franceschi, Johanna Ivaska and Jeroen Pouwels. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology, European Journal of Cell Biology, Journal of Clinical Investigation and Journal of Cell Science.

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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