Déborah Heydet

11 total papers · 591 total citations
8 papers, 459 citations indexed

About

Déborah Heydet is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Déborah Heydet has authored 8 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Epidemiology. Recurrent topics in Déborah Heydet's work include Liver Disease Diagnosis and Treatment (3 papers), Diet, Metabolism, and Disease (3 papers) and Neonatal Respiratory Health Research (2 papers). Déborah Heydet is often cited by papers focused on Liver Disease Diagnosis and Treatment (3 papers), Diet, Metabolism, and Disease (3 papers) and Neonatal Respiratory Health Research (2 papers). Déborah Heydet collaborates with scholars based in Australia, United States and Switzerland. Déborah Heydet's co-authors include Claire Z. Larter, Geoffrey C. Farrell, Shivakumar Chitturi, Reena Ghildyal, Erin J. Walker, Michelle E. Gahan, Christopher J. Nolan, Michel R. Leroux, Matthew M. Yeh and John Brooling and has published in prestigious journals such as Scientific Reports, Frontiers in Microbiology and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

In The Last Decade

Déborah Heydet

8 papers receiving 443 citations

Author Peers

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

Author Last Decade Papers Cites
Déborah Heydet 242 100 100 71 66 8 459
Andrea Busse Grawitz 157 0.6× 59 0.6× 61 0.6× 42 0.6× 45 0.7× 10 424
Johannie du Plessis 412 1.7× 96 1.0× 119 1.2× 185 2.6× 108 1.6× 8 541
Jenny D. Jokinen 143 0.6× 116 1.2× 104 1.0× 30 0.4× 71 1.1× 16 476
Danielle Reid 167 0.7× 176 1.8× 57 0.6× 84 1.2× 141 2.1× 8 424
Natalie Thorn 295 1.2× 202 2.0× 88 0.9× 66 0.9× 125 1.9× 7 445
William Yip 144 0.6× 149 1.5× 41 0.4× 108 1.5× 65 1.0× 8 422
Qinyu Xu 251 1.0× 138 1.4× 58 0.6× 109 1.5× 34 0.5× 9 414
Sergi Vila 183 0.8× 184 1.8× 27 0.3× 126 1.8× 32 0.5× 9 506
Chen Niu 124 0.5× 279 2.8× 50 0.5× 32 0.5× 77 1.2× 14 495
Dan Yang 182 0.8× 135 1.4× 38 0.4× 107 1.5× 78 1.2× 18 497

Countries citing papers authored by Déborah Heydet

Since Specialization
Citations

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

Fields of papers citing papers by Déborah Heydet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Déborah Heydet

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