Léa Berland

501 citations
7 papers · 302 · h-index 7

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • CAR-T cell therapy research 2
    • Biochemical and Structural Characterization 1

Léa Berland

7 papers receiving 297 citations

Peers

Léa Berland
Comparison fields: 5 of 53
  • Cancer Research 144
  • Oncology 113
  • Immunology 62
  • Biophysics 14
  • Molecular Biology 160
Replace Katja Välimäki with:
Katja Välimäki Finland
Puay Hoon Tan Singapore
Tuulia Vallius United States
Yalan Lei China
Arturo B. Ramirez United States
Fui Teen Chong Singapore
Cheng Quan China
James Martell United States
Iris Nederlof Netherlands
Léa Berland relative to Katja Välimäki Finland Katja Välimäki's profile →
Citations per field
00.5×2.7×
Katja Välimäki · 1×
Citations per year

Countries citing papers authored by Léa Berland

Since Specialization
Citations

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

Fields of papers citing papers by Léa Berland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 201978
2 202063
3 201960
4 202052
5 202128
6 202413
7 20218

About Léa Berland

Léa Berland is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 302 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Treatments and Mutations (2 papers), CAR-T cell therapy research (2 papers), Cancer-related molecular mechanisms research (2 papers), Cancer Genomics and Diagnostics (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), MicroRNA in disease regulation (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Cancer Research (144 citations), Oncology (113 citations), Immunology (62 citations), Biophysics (14 citations) and Molecular Biology (160 citations). Léa Berland has collaborated with scholars based in United States, France and Romania. Frequent co-authors include Paul Hofman, Véronique Hofman, Marius Ilié, George A. Călin, Cristina Ivan, Mihnea P. Dragomir, Élodie Long-Mira, Sandra Lassalle, Hélène Roussel and Erik Knutsen. Their work appears in journals such as Cancers, Non-Coding RNA, Bioconjugate Chemistry, Biomolecules and Frontiers in Cell and Developmental 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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