Lilly Maneta‐Peyret

1.5k citations
43 papers · 1.1k indexed · h-index 17

Lilly Maneta‐Peyret

41 papers receiving 1.1k citations

Peers

Lilly Maneta‐Peyret
Comparison fields: 5 of 94
  • Biochemistry 158
  • Plant Science 551
  • Molecular Biology 792
  • Cell Biology 177
  • Structural Biology 8
Replace Elena L. Rudashevskaya with:
Elena L. Rudashevskaya Austria
Deqiang Yao China
Diana Molino France
António Daniel Barbosa United Kingdom
Peter A. van Paridon Netherlands
William D. Barshop United States
Enrique Castaño Mexico
Thibaut J. Wenzel Netherlands
Stephen A. Jesch United States
Chunbo Qin United States
Lilly Maneta‐Peyret relative to Elena L. Rudashevskaya Austria Elena L. Rudashevskaya's profile →
Citations per field
00.5×2.9×
Elena L. Rudashevskaya · 1×
Citations per year

Countries citing papers authored by Lilly Maneta‐Peyret

Since Specialization
Citations

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

Fields of papers citing papers by Lilly Maneta‐Peyret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lilly Maneta‐Peyret. 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 Lilly Maneta‐Peyret. The network helps show where Lilly Maneta‐Peyret may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20225
2 202130
3 2019164
4 2018111
5 201814
6 201836
7 201818
8 201514
9 201424
10 200915
11 20060
12 200411
13 20026
14 200127
15 199927
16 19954
17 199417
18 19937
19 199214
20 199112

About Lilly Maneta‐Peyret

Lilly Maneta‐Peyret is a scholar working on Biochemistry, Cell Biology and Molecular Biology, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (14 papers), Cellular transport and secretion (13 papers), Photosynthetic Processes and Mechanisms (10 papers), Lipid metabolism and biosynthesis (9 papers), Plant Reproductive Biology (7 papers), Plant Molecular Biology Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Biochemistry (158 citations), Plant Science (551 citations) and Molecular Biology (792 citations). Lilly Maneta‐Peyret has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Patrick Moreau, Claude Cassagne, Alexandre Martinière, Vincent Bayle, Yvon Jaillais, Laëtitia Fouillen, Laia Armengot, Matthieu Pierre Platre, Patrick W. Vincent and Stanley W. Botchway. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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