Vincent Ecochard

824 citations
18 papers · 664 indexed · h-index 11
Topics
Advanced biosensing and bioanalysis techniques (7 papers)Biosensors and Analytical Detection (4 papers)DNA and Nucleic Acid Chemistry (3 papers)
Partner nations
FranceRussiaItaly

In The Last Decade

Vincent Ecochard

18 papers receiving 658 citations

Peers

Vincent Ecochard
Comparison fields: 5 of 84
  • Molecular Biology 504
  • Cellular and Molecular Neuroscience 111
  • Neurology 107
  • Genetics 86
  • Plant Science 63
Replace Manuel Cantu Gutierrez with:
Manuel Cantu Gutierrez United States
Baojin Ding United States
Minako Tateno Japan
Deborah Y. Kwon United States
Yanina D. Álvarez Argentina
Wu‐Lin Charng United States
Yeliz Yuva-Aydemir Germany
In Young Choi South Korea
Yi Gu United States
Nathalie Champagne Canada
Vincent Ecochard relative to Manuel Cantu Gutierrez United States Manuel Cantu Gutierrez's profile →
Citations per field
00.5×2.6×
Manuel Cantu Gutierrez · 1×
Citations per year

Countries citing papers authored by Vincent Ecochard

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Ecochard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Ecochard

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Ecochard. A scholar is included among the top collaborators of Vincent Ecochard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vincent Ecochard. Vincent Ecochard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 3
2 15
3 8
4 8
5 15
6 4
7 3
8 12
9 3
10 8
11 23
12 64
13 109
14 118
15 112
16 78
17 24
18 57

About Vincent Ecochard

Vincent Ecochard is a scholar working on Molecular Biology, Biomedical Engineering and Reproductive Medicine, having authored 18 papers that have together received 664 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), Biosensors and Analytical Detection (4 papers) and DNA and Nucleic Acid Chemistry (3 papers). The work is most often cited by research in Aging (23 citations), Molecular Biology (504 citations) and Neurology (107 citations). Vincent Ecochard has collaborated with scholars based in France, Russia and Italy. Frequent co-authors include Jean‐Philippe Girard, Myriam Roussigné, François Amalric, Thomas Clouaire, Catherine Mathé, Corinne Cayrol, A.M. Duprat, Chrystelle Lacroix, Andrey G. Zaraisky and Anne-Claire Lavigne. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

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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