J. Labat‐Robert

104 papers receiving 1.8k citations

Peers

J. Labat‐Robert
Comparison fields: 5 of 122
  • Immunology and Allergy 454
  • Aging 91
  • Dermatology 214
  • Cancer Research 340
  • Cell Biology 325
Replace Albert J.T. Millis with:
Albert J.T. Millis United States
Ladislas Robert France
Tamar Tennenbaum Israel
Alicia R. Folgueras Spain
Ranjit Bhardwaj Germany
Leena Pulkkinen United States
Kiichiro Yano United States
Vikram Prasad United States
Albert S. Jun United States
Mihail Eugen Hinescu Romania
J. Labat‐Robert relative to Albert J.T. Millis United States Albert J.T. Millis's profile →
Citations per field
00.5×1.5×2.3×
Albert J.T. Millis · 1×
Citations per year

Countries citing papers authored by J. Labat‐Robert

Since Specialization
Citations

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

Fields of papers citing papers by J. Labat‐Robert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Labat‐Robert. 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. Labat‐Robert. The network helps show where J. Labat‐Robert may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200288
2 200077
3 199074
4 201260
5 200058
6 199156
7 198152
8 200450
9 199847
10 200846
11 198845
12 198742
13 200339
14 200038
15
Modification of fibronectin distribution pattern in solid human tumours.
198238
16 198536
17 199435
18 199235
19
Comparative distribution patterns of type I and III collagens and fibronectin in human arteriosclerotic aorta.
198534
20 198332

About J. Labat‐Robert

J. Labat‐Robert is a scholar working on Immunology and Allergy, Cancer Research, Molecular Biology, Cell Biology and Genetics, having authored 107 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (53 papers), Protease and Inhibitor Mechanisms (31 papers), Connective tissue disorders research (10 papers), Advanced Glycation End Products research (9 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), Glycosylation and Glycoproteins Research (7 papers), Peptidase Inhibition and Analysis (7 papers) and Proteoglycans and glycosaminoglycans research (7 papers). The work is most often cited by research in Immunology and Allergy (454 citations), Aging (91 citations), Dermatology (214 citations), Cancer Research (340 citations) and Cell Biology (325 citations). J. Labat‐Robert has collaborated with scholars based in France, Hungary and Canada. Frequent co-authors include L. Robert, Patrick Kern, A.M. Robert, Ladislas Robert, M Bihari-Varga, Gaston Godeau, M Szendröi, Yasmina Benazzoug, Daniel Hantaı̈ and Philippe Birembaut. Their work appears in journals such as Biochemical Pharmacology, Archives of Gerontology and Geriatrics, Biogerontology, Experimental Gerontology and Annals of the New York Academy of Sciences.

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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