Alexia Conte

928 citations
9 papers · 641 · h-index 7

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • HER2/EGFR in Cancer Research

Papers in

    • HER2/EGFR in Cancer Research 3
    • Peptidase Inhibition and Analysis 2
    • Ubiquitin and proteasome pathways 3
    • Glycosylation and Glycoproteins Research 3
    • Protein Degradation and Inhibitors 1

Alexia Conte

9 papers receiving 638 citations

Peers

Alexia Conte
Comparison fields: 5 of 68
  • Cell Biology 167
  • Oncology 210
  • Immunology 120
  • Molecular Biology 299
  • Physiology 19
Replace Aprill Watanabe with:
Aprill Watanabe United States
Anie Monast Canada
Lene Melsæther Grøvdal Norway
Rick Lesniewski United States
Michael V. Grandal Denmark
Tatsiana Kosciuk United States
Jessica Konen United States
Ju He United States
Parag P. Patwardhan United States
Tamara Lah Turnšek Slovenia
Alexia Conte relative to Aprill Watanabe United States Aprill Watanabe's profile →
Citations per field
00.5×2×3.2×
Aprill Watanabe · 1×
Citations per year

Countries citing papers authored by Alexia Conte

Since Specialization
Citations

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

Fields of papers citing papers by Alexia Conte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2016226
2 2013139
3 2017107
4 201568
5 201243
6 201633
7 202021
8 20173
9 20261

About Alexia Conte

Alexia Conte is a scholar working on Oncology, Molecular Biology, Cell Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 641 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Glycosylation and Glycoproteins Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Peptidase Inhibition and Analysis (2 papers), Cellular transport and secretion (2 papers), Protein Degradation and Inhibitors (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cell Biology (167 citations), Oncology (210 citations), Immunology (120 citations), Molecular Biology (299 citations) and Physiology (19 citations). Alexia Conte has collaborated with scholars based in Italy and United States. Frequent co-authors include Sara Sigismund, Pier Paolo Di Fiore, Tiziana Bonaldi, Alessandro Cuomo, Simona Polo, Andrea Ciliberto, Fabrizio Capuani, Elisabetta Argenzio, Giuseppe Penna and Lisette G. G. C. Verhoef. Their work appears in journals such as The EMBO Journal, Cellular and Molecular Life Sciences, Nature Medicine, Progress in molecular biology and translational science and Molecular 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.

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