Nadia Bendridi

47 total papers · 2.7k total citations
28 papers, 2.1k citations indexed

About

Nadia Bendridi is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Nadia Bendridi has authored 28 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Physiology and 6 papers in Epidemiology. Recurrent topics in Nadia Bendridi's work include Mitochondrial Function and Pathology (12 papers), Adipose Tissue and Metabolism (6 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Nadia Bendridi is often cited by papers focused on Mitochondrial Function and Pathology (12 papers), Adipose Tissue and Metabolism (6 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Nadia Bendridi collaborates with scholars based in France, Germany and Switzerland. Nadia Bendridi's co-authors include Jennifer Rieusset, Hubert Vidal, Marie‐Agnès Chauvin, Guillaume Vial, Emily Tubbs, J. Cao, Stéphanie Chanon, Pierre Theurey, Michel Ovize and Christine Durand and has published in prestigious journals such as Nature Medicine, Nature Communications and Genes & Development.

In The Last Decade

Nadia Bendridi

28 papers receiving 2.1k 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 Bendridi 1.4k 455 435 422 261 28 2.1k
Sei Yoshida 1.1k 0.8× 366 0.8× 431 1.0× 565 1.3× 332 1.3× 41 2.6k
David Lee 1.1k 0.8× 619 1.4× 173 0.4× 413 1.0× 474 1.8× 60 2.6k
Raffaella Gozzelino 1.7k 1.2× 307 0.7× 334 0.8× 303 0.7× 133 0.5× 28 3.2k
Candace M. Cham 1.4k 1.0× 664 1.5× 90 0.2× 236 0.6× 236 0.9× 24 2.7k
Feng Chu 1.2k 0.8× 453 1.0× 338 0.8× 527 1.2× 73 0.3× 25 2.0k
Suzette Moes 1.9k 1.4× 268 0.6× 328 0.8× 482 1.1× 120 0.5× 41 3.2k
E. Meisel 1.0k 0.7× 313 0.7× 310 0.7× 246 0.6× 225 0.9× 31 2.7k
Janet Yao 1.5k 1.0× 362 0.8× 115 0.3× 437 1.0× 159 0.6× 23 2.4k
Shigeki Kamitani 907 0.6× 166 0.4× 234 0.5× 180 0.4× 240 0.9× 52 1.8k
Morven Graham 2.0k 1.4× 360 0.8× 612 1.4× 305 0.7× 160 0.6× 38 3.1k

Countries citing papers authored by Nadia Bendridi

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Bendridi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Bendridi

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