Pierre Vauclare

645 total citations
14 papers, 498 citations indexed

About

Pierre Vauclare is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Pierre Vauclare has authored 14 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Plant Science and 4 papers in Ecology. Recurrent topics in Pierre Vauclare's work include GABA and Rice Research (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Microbial Community Ecology and Physiology (3 papers). Pierre Vauclare is often cited by papers focused on GABA and Rice Research (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Microbial Community Ecology and Physiology (3 papers). Pierre Vauclare collaborates with scholars based in France, Switzerland and United Kingdom. Pierre Vauclare's co-authors include Roland Douce, Jacques Bourguignon, Liliane Sticher, Marianne Suter, Stanislav Kopřiva, Christian Brunold, Peter von Ballmoos, David A. Fell, U. Krähenbühl and David Macherel and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLANT PHYSIOLOGY.

In The Last Decade

Pierre Vauclare

14 papers receiving 494 citations

Peers

Pierre Vauclare
Comparison fields: 5 of 69
  • Molecular Biology 354
  • Plant Science 266
  • Biochemistry 105
  • Environmental Chemistry 43
  • Ecology 34
Replace Francisco J. Sandoval with:
Francisco J. Sandoval United States
Orinda Chew Australia
Morgane Michaud France
Ethan Hack United States
Natalia Battchikova Finland
Younès Dellero France
Ralf Flachmann Germany
Eduardo Cadenas Spain
Silke Krömer Sweden
Magali Moreau United States
Francisco J. Sandoval United States View profile →
Citations per field, relative to Pierre Vauclare
Pierre Vauclare · 1×
Citations per year, relative to Pierre Vauclare
Pierre Vauclare · 1×

Countries citing papers authored by Pierre Vauclare

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Vauclare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Vauclare

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Vauclare. A scholar is included among the top collaborators of Pierre Vauclare 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 Pierre Vauclare. Pierre Vauclare is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 5
2 25
3 25
4 23
5 4
6 27
7 23
8 23
9 212
10 4
11 23
12 52
13 38
14
Glycine decarboxylase complex from higher plants: Molecular cloning, tissue distribution and mass spectrometry analyses of the T-protein. Eur J Biochem 217: 377-386
14

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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