Laetitia Da Meda

58 total papers · 413 total citations
24 papers, 253 citations indexed

About

Laetitia Da Meda is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Laetitia Da Meda has authored 24 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 7 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Laetitia Da Meda's work include Melanoma and MAPK Pathways (7 papers), Cancer Immunotherapy and Biomarkers (6 papers) and CAR-T cell therapy research (5 papers). Laetitia Da Meda is often cited by papers focused on Melanoma and MAPK Pathways (7 papers), Cancer Immunotherapy and Biomarkers (6 papers) and CAR-T cell therapy research (5 papers). Laetitia Da Meda collaborates with scholars based in France, Italy and Australia. Laetitia Da Meda's co-authors include Célèste Lebbé, Barouyr Baroudjian, Cécile Pagès, Marie-Léa Gauci, Samia Mourah, M. Bagot, Pauline Laly, Nicole Basset‐Séguin, Philippe Boudou and Isabelle Madelaine‐Chambrin and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Oncology.

In The Last Decade

Laetitia Da Meda

21 papers receiving 253 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Laetitia Da Meda 206 49 47 46 46 24 253
Šárka Svobodová 131 0.6× 75 1.5× 61 1.3× 42 0.9× 12 0.3× 27 298
Sandipkumar Patel 184 0.9× 22 0.4× 52 1.1× 41 0.9× 14 0.3× 20 244
Nicoletta Provinciali 175 0.8× 83 1.7× 54 1.1× 18 0.4× 48 1.0× 22 307
Yutuan Wu 131 0.6× 100 2.0× 31 0.7× 43 0.9× 11 0.2× 26 303
Roberto Piciotti 127 0.6× 83 1.7× 49 1.0× 90 2.0× 21 0.5× 15 303
Hongyuan Jia 101 0.5× 54 1.1× 31 0.7× 32 0.7× 32 0.7× 24 292
Eleonora Zanetti 78 0.4× 75 1.5× 30 0.6× 26 0.6× 25 0.5× 29 248
Melody Mendenhall 114 0.6× 55 1.1× 30 0.6× 34 0.7× 10 0.2× 14 198
Blessie Elizabeth Nelson 119 0.6× 57 1.2× 46 1.0× 20 0.4× 14 0.3× 33 232
Yuya Murata 71 0.3× 44 0.9× 86 1.8× 60 1.3× 17 0.4× 27 309

Countries citing papers authored by Laetitia Da Meda

Since Specialization
Citations

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

Fields of papers citing papers by Laetitia Da Meda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laetitia Da Meda. 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 Laetitia Da Meda. The network helps show where Laetitia Da Meda may publish in the future.

Co-authorship network of co-authors of Laetitia Da Meda

This figure shows the co-authorship network connecting the top 25 collaborators of Laetitia Da Meda. A scholar is included among the top collaborators of Laetitia Da Meda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laetitia Da Meda. Laetitia Da Meda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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