Nadia Vié

26 total papers · 500 total citations
10 papers, 356 citations indexed

About

Nadia Vié is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nadia Vié has authored 10 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Molecular Biology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nadia Vié's work include Monoclonal and Polyclonal Antibodies Research (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and HER2/EGFR in Cancer Research (2 papers). Nadia Vié is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and HER2/EGFR in Cancer Research (2 papers). Nadia Vié collaborates with scholars based in France, Netherlands and United Kingdom. Nadia Vié's co-authors include Pierre Martineau, Céline Gongora, Maguy Del Rio, Caroline Mollévi, Bruno Robert, Vincent Denis, Emmanuel Conseiller, Caroline Fraslon, Nicole Bec and Franck Molina and has published in prestigious journals such as Cancer Research, British Journal of Cancer and Molecular Cancer.

In The Last Decade

Nadia Vié

9 papers receiving 353 citations

Author Peers

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

Author Last Decade Papers Cites
Nadia Vié 198 163 106 52 42 10 356
Gregory Carbonetti 138 0.7× 84 0.5× 89 0.8× 68 1.3× 44 1.0× 8 315
Laura Ghisolfi 219 1.1× 163 1.0× 114 1.1× 35 0.7× 16 0.4× 10 354
Sarwat Naz 232 1.2× 117 0.7× 83 0.8× 93 1.8× 36 0.9× 14 392
V. Frascogna 205 1.0× 223 1.4× 81 0.8× 49 0.9× 18 0.4× 13 400
MG Ormerod 197 1.0× 162 1.0× 67 0.6× 31 0.6× 54 1.3× 8 395
Mesquita Rodrigues 251 1.3× 115 0.7× 193 1.8× 34 0.7× 15 0.4× 7 383
Katharina Jannasch 186 0.9× 124 0.8× 67 0.6× 52 1.0× 30 0.7× 10 340
Pinjie Bao 219 1.1× 148 0.9× 105 1.0× 62 1.2× 20 0.5× 10 336
Gilberto S. Almeida 150 0.8× 85 0.5× 114 1.1× 66 1.3× 51 1.2× 16 331
Jonathan W. Haskins 250 1.3× 141 0.9× 81 0.8× 72 1.4× 30 0.7× 7 402

Countries citing papers authored by Nadia Vié

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Vié

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Vié

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Vié. A scholar is included among the top collaborators of Nadia Vié 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 Nadia Vié. Nadia Vié 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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