J. Garnier
- Molecular Biology top 1%
- Protein Structure and Dynamics 13
- Protein Hydrolysis and Bioactive Peptides 11
- Machine Learning in Bioinformatics 9
- Glycosylation and Glycoproteins Research 4
- Biotechnology top 2%
- Cell Biology top 5%
- Microbiology top 2%
- Genetics top 5%
-
- Enzyme Structure and Function 11
-
- Proteins in Food Systems 10
-
- French Urban and Social Studies 9
-
- Phytase and its Applications 6
- Co-authors
- Barry RobsonDavid J. OsguthorpeJean-François GibratRobert L. JerniganAndrzej KloczkowskiRoland SalesseBruno DumasPeter J. Munson
- Journals
- Journal of Molecular Biology (5 papers)Journal of Dairy Research (3 papers)Biochimie (3 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
J. Garnier
60 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 4.3k
- Biotechnology 283
- Cell Biology 436
- Microbiology 165
- Genetics 705
Countries citing papers authored by J. Garnier
This map shows the geographic impact of J. Garnier'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 J. Garnier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Garnier more than expected).
Fields of papers citing papers by J. Garnier
This network shows the impact of papers produced by J. Garnier. 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 J. Garnier. The network helps show where J. Garnier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Garnier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 0 | |
| 2 | 2012 | 3 | |
| 3 | 2005 | 163 | |
| 4 | 2002 | 108 | |
| 5 | 1999 | 38 | |
| 6 | 1997 | 7 | |
| 7 | 1997 | 31 | |
| 8 | 1996 | 46 | |
| 9 | 1996 | 6 | |
| 10 | 1993 | 69 | |
| 11 | 1991 | 47 | |
| 12 | 1990 | 8 | |
| 13 | 1990 | 40 | |
| 14 | 1988 | 1 | |
| 15 | 1987 | 452 | |
| 16 | 1987 | 9 | |
| 17 | 1984 | 10 | |
| 18 | 1982 | 2 | |
| 19 | Analysis of the accuracy and implications of simple methods for predicting the secondary structure of globular proteinsbreakdown → | 1978 | 4032 |
| 20 | [Structure of bovine casein micells. Redistribution of constitutive proteins]. | 1969 | 1 |
About J. Garnier
J. Garnier is a scholar working on Food Science, Equine, Molecular Biology, Agronomy and Crop Science and Biotechnology, having authored 63 papers that have together received 5.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (11 papers), Protein Hydrolysis and Bioactive Peptides (11 papers), Proteins in Food Systems (10 papers), Machine Learning in Bioinformatics (9 papers), French Urban and Social Studies (9 papers), Phytase and its Applications (6 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Molecular Biology (4.3k citations), Biotechnology (283 citations), Cell Biology (436 citations), Microbiology (165 citations) and Genetics (705 citations). J. Garnier has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Barry Robson, David J. Osguthorpe, Jean-François Gibrat, Robert L. Jernigan, Andrzej Kloczkowski, Roland Salesse, Bruno Dumas, Peter J. Munson, Valentina Di Francesco and Taner Z. Sen. Their work appears in journals such as Journal of Molecular Biology, Journal of Dairy Research, Biochimie, Proteins Structure Function and Bioinformatics and Biology of the Cell.
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.