Aline Appert-Collin

21 papers receiving 693 citations

Peers

Aline Appert-Collin
Comparison fields: 5 of 93
  • Immunology and Allergy 45
  • Oncology 180
  • Molecular Biology 389
  • Cancer Research 75
  • Cell Biology 68
Replace N. V. Popova with:
N. V. Popova Russia
Melanie Wong United States
Huafei Zou United States
Rosanna Sestito Italy
Deniz A. Uçar United States
Yee Chan‐Li United States
Patricia A. Zipfel United States
Caroline Smales United Kingdom
Da-Sheng Wang United States
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Citations per field
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Citations per year

Countries citing papers authored by Aline Appert-Collin

Since Specialization
Citations

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

Fields of papers citing papers by Aline Appert-Collin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aline Appert-Collin. 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 Aline Appert-Collin. The network helps show where Aline Appert-Collin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015249
2 200785
3 202041
4 200538
5 200635
6 200634
7 200532
8 202027
9 202023
10 200623
11 200519
12 202018
13 201615
14 202213
15 200513
16 202212
17 200411
18 20107
19 20127
20 20244

About Aline Appert-Collin

Aline Appert-Collin is a scholar working on Molecular Biology, Immunology and Allergy, Cellular and Molecular Neuroscience, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 708 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Cell Adhesion Molecules Research (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Galectins and Cancer Biology (2 papers), Neuroscience and Neuropharmacology Research (2 papers), 14-3-3 protein interactions (2 papers), RNA Interference and Gene Delivery (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Immunology and Allergy (45 citations), Oncology (180 citations), Molecular Biology (389 citations), Cancer Research (75 citations) and Cell Biology (68 citations). Aline Appert-Collin has collaborated with scholars based in France, Switzerland and Russia. Frequent co-authors include Amar Bennasroune, P. Hubert, Gérard Crémel, Dario Diviani, Thierry Pedrazzini, Monique Nenniger-Tosato, Susanna Cotecchia, Philippe Poindron, J.-P. Gies and Hamid Morjani. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Frontiers in Oncology, Cancers, Biochemical and Biophysical Research Communications and Proceedings of the National 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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