Mathilde Bied

469 citations
3 papers · 213 · 1 hit paper · h-index 3

Impact in

    • Immune cells in cancer
    • Phagocytosis and Immune Regulation
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

    • Immune cells in cancer 3
    • Phagocytosis and Immune Regulation 1
    • Epigenetics and DNA Methylation 2
    • Single-cell and spatial transcriptomics 1

Mathilde Bied

3 papers receiving 210 citations

Mathilde Bied's Hit Papers

Roles of macrophages in tumor development: a spatiotemporal perspective 2023 · 204 citations
2040+1+2Years since publication50100150200

Peers

Mathilde Bied
Comparison fields: 5 of 34
  • Immunology 123
  • Oncology 63
  • Cancer Research 22
  • Biotechnology 9
  • Molecular Biology 69
Replace Oleksandr Kyrysyuk with:
Oleksandr Kyrysyuk United States
Katherine T. Venmar United States
Madisson Oliwa United States
Arman Öner Germany
Manisha Warrier United States
Célia Reynders Belgium
Leandra Cole United States
Christine I. Rafie United States
Helena Van Damme Belgium
Sharanpreet Lall United Kingdom
Mathilde Bied relative to Oleksandr Kyrysyuk United States Oleksandr Kyrysyuk's profile →
Citations per field
00.5×1.5×2.2×
Oleksandr Kyrysyuk · 1×
Citations per year

Countries citing papers authored by Mathilde Bied

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Bied

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Mathilde Bied, 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 Mathilde Bied Line = papers co-authored together Mathilde Bied links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Roles of macrophages in tumor development: a spatiotemporal perspective
Hit paper breakdown →
2023204
2 20236
3 20233

About Mathilde Bied

Mathilde Bied is a scholar working on Immunology, Molecular Biology, Oncology, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 213 indexed citations. Recurring topics across this work include Immune cells in cancer (3 papers), Epigenetics and DNA Methylation (2 papers), Phagocytosis and Immune Regulation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Cancer Cells and Metastasis (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Immunology (123 citations), Oncology (63 citations), Cancer Research (22 citations), Biotechnology (9 citations) and Molecular Biology (69 citations). Mathilde Bied has collaborated with scholars based in France, Singapore and China. Frequent co-authors include Florent Ginhoux, Camille Blériot, William W. Ho, Simona Mura, Claudine Deloménie, Marco Moreira, Wan Ting Kong and Garett Dunsmore. Their work appears in journals such as Drug Delivery and Translational Research, Cellular and Molecular Immunology and Methods in molecular biology.

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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