Lídia Robert

13.0k citations
26 papers · 3.7k indexed · 3 hit papers · h-index 20

Lídia Robert

26 papers receiving 3.7k citations

Hit Papers

Multi-stage Differentiation Defines Melanoma Subtypes wit...5832014202620182022100200300400500

Peers

Lídia Robert
Comparison fields: 5 of 112
  • Oncology 2.0k
  • Immunology 1.3k
  • Cancer Research 544
  • Molecular Biology 2.0k
  • Cell Biology 326
Replace Yann Kieffer with:
Yann Kieffer France
Knut Engels Germany
María Romina Girotti Argentina
Lamorna Brown Swigart United States
Laura Soucek Spain
Xin Ye China
Mary Aakre United States
George S. Karagiannis United States
Sakari Vanharanta United Kingdom
María Soledad Sosa United States
Lídia Robert relative to Yann Kieffer France Yann Kieffer's profile →
Citations per field
00.5×11.7×
Yann Kieffer · 1×
Citations per year

Countries citing papers authored by Lídia Robert

Since Specialization
Citations

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

Fields of papers citing papers by Lídia Robert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20219
2 20202
3 201933
4 2018122
5
Multi-stage Differentiation Defines Melanoma Subtypes with Differential Vulnerability to Drug-Induced Iron-Dependent Oxidative Stressbreakdown →
2018583
6 201733
7 2016104
8 201650
9
Improved antitumor activity of immunotherapy with BRAF and MEK inhibitors in BRAF V600E melanomabreakdown →
2015435
10 201535
11 20151
12 2014285
13 2014280
14 201485
15
Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanomabreakdown →
2014427
16 201466
17 201466
18 20141
19 2013252
20 2000312

About Lídia Robert

Lídia Robert is a scholar working on Oncology, Immunology and Computational Theory and Mathematics, having authored 26 papers that have together received 3.7k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (11 papers), Cancer Immunotherapy and Biomarkers (10 papers), CAR-T cell therapy research (9 papers), Immunotherapy and Immune Responses (8 papers), Computational Drug Discovery Methods (5 papers), Cancer Mechanisms and Therapy (4 papers), Advanced Breast Cancer Therapies (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Oncology (2.0k citations), Immunology (1.3k citations) and Cancer Research (544 citations). Lídia Robert has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Antoni Ribas, Thomas G. Graeber, Jennifer Tsoi, Blanca Homet Moreno, Richard C. Koya, Siwen Hu‐Lieskovan, Stephen Mok, Deborah J. Wong, Begoña Comı́n-Anduix and Mohammad Atefi. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Clinical Cancer Research, Proceedings of the National Academy of Sciences and Molecular Cancer.

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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