M.M. Leblond

692 citations
17 papers · 495 · h-index 10

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune cells in cancer 6
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 2
    • Cancer, Hypoxia, and Metabolism 4

M.M. Leblond

15 papers receiving 492 citations

Peers

M.M. Leblond
Comparison fields: 5 of 58
  • Immunology 222
  • Oncology 155
  • Genetics 56
  • Cancer Research 57
  • Neurology 25
Replace Aïda Meghraoui with:
Aïda Meghraoui France
Benjamin Kansy Germany
Rubén Fragoso United States
Chakradhar Yakkala Switzerland
Xianfeng Fang China
Shigeaki Umeda Japan
Rodwell Mabaera United States
Freya Droege Germany
Christine Appelt Germany
Kellie A. Mouchemore Australia
M.M. Leblond relative to Aïda Meghraoui France Aïda Meghraoui's profile →
Citations per field
00.5×
Aïda Meghraoui · 1×
Citations per year

Countries citing papers authored by M.M. Leblond

Since Specialization
Citations

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

Fields of papers citing papers by M.M. Leblond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2021133
2 201585
3 201785
4 202145
5 202030
6 202329
7 202027
8 202224
9 201914
10 201613
11 20204
12 20252
13 20242
14 20241
15 20191
16 20240
17 20260

About M.M. Leblond

M.M. Leblond is a scholar working on Immunology, Cancer Research, Surgery, Molecular Biology and Genetics, having authored 17 papers that have together received 495 indexed citations. Recurring topics across this work include Immune cells in cancer (6 papers), Immune Cell Function and Interaction (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Glioma Diagnosis and Treatment (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Angiogenesis and VEGF in Cancer (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (222 citations), Oncology (155 citations), Genetics (56 citations), Cancer Research (57 citations) and Neurology (25 citations). M.M. Leblond has collaborated with scholars based in Switzerland, France and Spain. Frequent co-authors include Grégory Verdeil, Myriam Bernaudin, Samuel Valable, Edwige Petit, Aurélien Corroyer‐Dulmont, Eric T. MacKenzie, Elodie A. Pérès, Dominique Velin, Hana Zdimerova and Clément Anfray. Their work appears in journals such as Cancers, Scientific Reports, The Journal of Experimental Medicine, Nature Immunology and Oncotarget.

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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