Anne Rascle

1.8k citations
33 papers · 1.4k · h-index 21

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Ubiquitin and proteasome pathways 4
    • Protein Degradation and Inhibitors 4
    • Retinoids in leukemia and cellular processes 4
    • Genomics, phytochemicals, and oxidative stress 3
    • Reproductive System and Pregnancy 3

Anne Rascle

33 papers receiving 1.3k citations

Peers

Anne Rascle
Comparison fields: 5 of 96
  • Immunology 308
  • Oncology 269
  • Molecular Biology 719
  • Genetics 224
  • Endocrinology, Diabetes and Metabolism 110
Replace Sarah Kraus with:
Sarah Kraus Israel
P Lustenberger France
Yannick Laperche France
Thuy‐Anh Tran‐Thi Germany
Gabriella Miklóssy United States
Tomoyuki Tanaka Japan
Judit Markovits United States
Livia Di Renzo Italy
J. Van Wauwe Belgium
Donald Wojciechowicz United States
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Citations per field
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Citations per year

Countries citing papers authored by Anne Rascle

Since Specialization
Citations

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

Fields of papers citing papers by Anne Rascle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995178
2 2004176
3 2003114
4 201185
5 200877
6 200475
7 201552
8 201751
9 201649
10 200745
11 201540
12 200139
13 201638
14 200338
15 199436
16 201534
17 201728
18 200027
19 201424
20 200821

About Anne Rascle

Anne Rascle is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (7 papers), Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (4 papers), Retinoids in leukemia and cellular processes (4 papers), Cytomegalovirus and herpesvirus research (4 papers), NF-κB Signaling Pathways (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Reproductive System and Pregnancy (3 papers). The work is most often cited by research in Immunology (308 citations), Oncology (269 citations), Molecular Biology (719 citations), Genetics (224 citations) and Endocrinology, Diabetes and Metabolism (110 citations). Anne Rascle has collaborated with scholars based in Germany, France and United States. Frequent co-authors include James A. Johnston, Bruno Amati, Sandra Zurawski, Satish Menon, René de Waal Malefyt, Jacques Samarut, Jacques Ghysdael, Ralph Witzgall, Gérard Cabello and Martine Humbert. Their work appears in journals such as PLoS ONE, Nucleic Acids Research, Developmental Biology, Molecular and Cellular Biology and BMC Immunology.

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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