Pascale Daniel

547 citations
16 papers · 446 · h-index 11

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
    • Cancer Treatment and Pharmacology

Papers in

    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 3
    • Immune Response and Inflammation 1

Pascale Daniel

15 papers receiving 429 citations

Peers

Pascale Daniel
Comparison fields: 5 of 62
  • Immunology 263
  • Oncology 185
  • Rheumatology 36
  • Hepatology 13
  • Nephrology 9
Replace Daniel Tesfa with:
Daniel Tesfa Sweden
Eiji Mekata Japan
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Yusuke Ishibashi Japan
Luis Dehesa Spain
M. Westerhausen Germany
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MS Hershfield United States
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Pascale Daniel relative to Daniel Tesfa Sweden Daniel Tesfa's profile →
Citations per field
00.5×6.5×
Daniel Tesfa · 1×
Citations per year

Countries citing papers authored by Pascale Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Pascale Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2009111
2 200795
3 201059
4 199850
5 201327
6 198719
7 201115
8 202013
9 202013
10 201312
11 201312
12 19896
13 19886
14 19864
15 19894
16 20080

About Pascale Daniel

Pascale Daniel is a scholar working on Immunology, Oncology, Rheumatology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 16 papers that have together received 446 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (3 papers), Systemic Lupus Erythematosus Research (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Synthesis and Biological Evaluation (1 paper), Systemic Sclerosis and Related Diseases (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Immunology (263 citations), Oncology (185 citations), Rheumatology (36 citations), Hepatology (13 citations) and Nephrology (9 citations). Pascale Daniel has collaborated with scholars based in Germany, France and Lebanon. Frequent co-authors include Véronique Catros, Florian Cabillic, Olivier Toutirais, Matthieu Le Gallo, P. A. Berg, Karim Boudjéma, Gaëlle Le Friec, Pascal Loyer, Mireille Desille and Samuel Salot. Their work appears in journals such as Cancer Immunology Immunotherapy, Infection, Thorax, PLoS ONE and European Journal of Clinical Pharmacology.

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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