Anie Monast

1.1k citations
10 papers · 575 · h-index 10

Impact in

    • Immune cells in cancer
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Response and Inflammation
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

    • PI3K/AKT/mTOR signaling in cancer 2
    • Ubiquitin and proteasome pathways 1
    • Cytokine Signaling Pathways and Interactions 2
    • Cancer Cells and Metastasis 2

Anie Monast

10 papers receiving 573 citations

Peers

Anie Monast
Comparison fields: 5 of 51
  • Immunology 179
  • Hepatology 54
  • Oncology 169
  • Cancer Research 82
  • Neurology 38
Replace Elise Langenkamp with:
Elise Langenkamp Netherlands
Christian Werno Germany
Gaia Barisione Italy
Inbar Azoulay‐Alfaguter United States
Almudena Santos United Kingdom
Robert J. Barndt United States
Bingsheng Sun China
Claire L. Dubois United States
Volker Ellenrieder Germany
Anie Monast relative to Elise Langenkamp Netherlands Elise Langenkamp's profile →
Citations per field
00.5×2.8×
Elise Langenkamp · 1×
Citations per year

Countries citing papers authored by Anie Monast

Since Specialization
Citations

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

Fields of papers citing papers by Anie Monast

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2019166
2 201294
3 200884
4 201565
5 201251
6 201434
7 201933
8 201627
9 202112
10 20229

About Anie Monast

Anie Monast is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Genetics, having authored 10 papers that have together received 575 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cancer Cells and Metastasis (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer Mechanisms and Therapy (1 paper), Ubiquitin and proteasome pathways (1 paper), Galectins and Cancer Biology (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Immunology (179 citations), Hepatology (54 citations), Oncology (169 citations), Cancer Research (82 citations) and Neurology (38 citations). Anie Monast has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Morag Park, Peter M. Siegel, Sébastien Tabariès, Matthew G. Annis, Veena Sangwan, Michel L. Tremblay, Nadia Dubé, Emily Bell, Jasmine V. Abella and Grigorios Paliouras. Their work appears in journals such as The Journal of Cell Biology, Breast Cancer Research, Cell Reports, npj Breast Cancer and Journal of Biological Chemistry.

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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