Angelique Boyer

1.2k citations
22 papers · 1.1k · h-index 11

Impact in

Papers in

    • Congenital heart defects research 7
    • Protein Degradation and Inhibitors 6
    • Ubiquitin and proteasome pathways 2
    • TGF-β signaling in diseases 2
    • Peptidase Inhibition and Analysis 6

Angelique Boyer

22 papers receiving 1.0k citations

Peers

Angelique Boyer
Comparison fields: 5 of 68
  • Cancer Research 215
  • Molecular Biology 823
  • Immunology and Allergy 62
  • Cardiology and Cardiovascular Medicine 186
  • Hematology 81
Replace Rajeev Mahimkar with:
Rajeev Mahimkar United States
Cinzia Puppin Italy
Nam-Gyun Kim South Korea
Virginie Defamie Canada
Beiyang Wei United States
Jens Voortman Netherlands
Marion T.J. van den Bosch United Kingdom
Irma M. Sáinz United States
Katherine Chen United States
Martin Zweifel Switzerland
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Citations per field
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Rajeev Mahimkar · 1×
Citations per year

Countries citing papers authored by Angelique Boyer

Since Specialization
Citations

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

Fields of papers citing papers by Angelique Boyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999334
2 1999182
3 1996112
4 200672
5 199956
6 200655
7 200651
8 200048
9 200142
10 200635
11 201214
12 201310
13 201910
14 19999
15 20147
16 20156
17 19986
18 20195
19 20132
20 20211

About Angelique Boyer

Angelique Boyer is a scholar working on Molecular Biology, Oncology, Hematology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Congenital heart defects research (7 papers), Protein Degradation and Inhibitors (6 papers), Peptidase Inhibition and Analysis (6 papers), Cardiac Fibrosis and Remodeling (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Ubiquitin and proteasome pathways (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Cancer Research (215 citations), Molecular Biology (823 citations), Immunology and Allergy (62 citations), Cardiology and Cardiovascular Medicine (186 citations) and Hematology (81 citations). Angelique Boyer has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Raymond B. Runyan, Joey V. Barnett, Christopher B. Brown, Daniel L. Weeks, Éric Vincent, Matthew Pokross, Shengde Wu, Marlene Mekel, Richard Walter and Richard M. Kawamoto. Their work appears in journals such as Blood, Bioorganic & Medicinal Chemistry Letters, Developmental Biology, American Journal of Hematology and Developmental Dynamics.

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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