Maxime Danilo

1.4k citations
6 papers · 1.1k · 1 hit paper · h-index 6

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 1
    • Chronic Lymphocytic Leukemia Research 1

Maxime Danilo

6 papers receiving 1.1k citations

Maxime Danilo's Hit Papers

T Cell Factor 1-Expressing Memory-like CD8+ T Cells Sustain the Immune Response to Chronic Viral Infections 2016 · 845 citations
8450+3+6Years since publication250500750

Peers

Maxime Danilo
Comparison fields: 5 of 39
  • Immunology 651
  • Oncology 500
  • Virology 24
  • Hepatology 31
  • Hematology 20
Replace Kristiyan Kanev with:
Kristiyan Kanev Germany
Jolie G. Cullen Australia
Vasyl Eisenberg Israel
Erica Wynne-Jones Australia
Merrill J. Kellum United States
Andrew R. Medvec United States
Steffen Güttler Germany
Valentina Casella Spain
Ann J. McPherson Canada
Carmen Stecher Austria
Maxime Danilo relative to Kristiyan Kanev Germany Kristiyan Kanev's profile →
Citations per field
00.5×10×20×31×
Kristiyan Kanev · 1×
Citations per year

Countries citing papers authored by Maxime Danilo

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Danilo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
T Cell Factor 1-Expressing Memory-like CD8+ T Cells Sustain the Immune Response to Chronic Viral Infections
Hit paper breakdown →
2016845
2 2018131
3 201434
4 201922
5 202021
6 202316

About Maxime Danilo

Maxime Danilo is a scholar working on Immunology, Genetics, Hematology, Public Health, Environmental and Occupational Health and Nuclear Energy and Engineering, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Chronic Lymphocytic Leukemia Research (1 paper), Immunotherapy and Immune Responses (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Immunology (651 citations), Oncology (500 citations), Virology (24 citations), Hepatology (31 citations) and Hematology (20 citations). Maxime Danilo has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Werner Held, Vijaykumar Chennupati, Dietmar Zehn, Mélanie Charmoy, Sandra P. Calderon-Copete, Maike Hofmann, Sylvain Pradervand, Dominik Wieland, Robert Thimme and Daniel T. Utzschneider. Their work appears in journals such as The Journal of Immunology, Cancer Cell, Immunity, Vaccines and Cell Reports.

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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