Anne Listrat

3.2k citations
73 papers · 2.5k · 1 hit paper · h-index 26

Impact in

Papers in

Anne Listrat

71 papers receiving 2.4k citations

Anne Listrat's Hit Papers

How Muscle Structure and Composition Influence Meat and Flesh Quality 2016 · 627 citations
6270+3+6Years since publication200400600

Peers

Anne Listrat
Comparison fields: 5 of 123
  • Animal Science and Zoology 1.2k
  • Cell Biology 404
  • Aquatic Science 129
  • Equine 25
  • Rehabilitation 83
Replace Jan Novakofski with:
Jan Novakofski United States
Takanori Nishimura Japan
H. J. Swatland Canada
Élisabeth Laville France
Emöke Bendixen Denmark
Catherine C. Jurie France
Louis Lefaucheur France
T. Nishimura Japan
Isabelle Louveau France
Bénédicte Lebret France
Anne Listrat relative to Jan Novakofski United States Jan Novakofski's profile →
Citations per field
00.5×1.5×1.9×
Jan Novakofski · 1×
Citations per year

Countries citing papers authored by Anne Listrat

Since Specialization
Citations

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

Fields of papers citing papers by Anne Listrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How Muscle Structure and Composition Influence Meat and Flesh Quality
Hit paper breakdown →
2016627
2 2005143
3 2012107
4 200290
5 201376
6 200773
7 200871
8 200863
9 201458
10 199957
11 200453
12 200550
13 201350
14 201247
15 199947
16 201044
17 200043
18 200541
19 202040
20 201037

About Anne Listrat

Anne Listrat is a scholar working on Animal Science and Zoology, Molecular Biology, Cell Biology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 73 papers that have together received 2.5k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (37 papers), Muscle Physiology and Disorders (22 papers), Animal Nutrition and Physiology (18 papers), Muscle metabolism and nutrition (17 papers), Spectroscopy and Chemometric Analyses (6 papers), Adipose Tissue and Metabolism (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Collagen: Extraction and Characterization (4 papers). The work is most often cited by research in Animal Science and Zoology (1.2k citations), Cell Biology (404 citations), Aquatic Science (129 citations), Equine (25 citations) and Rehabilitation (83 citations). Anne Listrat has collaborated with scholars based in France, Morocco and Singapore. Frequent co-authors include Brigitte Picard, Louis Lefaucheur, Bénédicte Lebret, Muriel Bonnet, Isabelle Louveau, Jérôme Bugeon, Thierry Astruc, Daniel Béchet, Jean-François J.-F. Hocquette and Y. Geay. Their work appears in journals such as Meat Science, animal, Journal of Cachexia Sarcopenia and Muscle, Animal Science and Foods.

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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