Emmanuelle Havis

34 total papers · 2.1k total citations
23 papers, 1.3k citations indexed

About

Emmanuelle Havis is a scholar working on Molecular Biology, Surgery and Orthopedics and Sports Medicine. According to data from OpenAlex, Emmanuelle Havis has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Surgery and 6 papers in Orthopedics and Sports Medicine. Recurrent topics in Emmanuelle Havis's work include Tendon Structure and Treatment (6 papers), Developmental Biology and Gene Regulation (4 papers) and Orthopedic Surgery and Rehabilitation (4 papers). Emmanuelle Havis is often cited by papers focused on Tendon Structure and Treatment (6 papers), Developmental Biology and Gene Regulation (4 papers) and Orthopedic Surgery and Rehabilitation (4 papers). Emmanuelle Havis collaborates with scholars based in France, United States and Burundi. Emmanuelle Havis's co-authors include Delphine Duprez, Marie-Ange Bonnin, Laurent M. Sachs, Barbara A. Demeneix, Marie-Justine Guerquin, Benjamin Charvet, Isabel Olivera-Martínez, Christelle Bonod‐Bidaud, Florence Ruggiero and Cécile Milet and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Emmanuelle Havis

23 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Emmanuelle Havis 495 490 390 242 182 23 1.3k
Ryan E. Tomlinson 638 1.3× 338 0.7× 283 0.7× 264 1.1× 103 0.6× 51 1.8k
Arthur V. Sampaio 698 1.4× 190 0.4× 277 0.7× 146 0.6× 164 0.9× 20 1.4k
Cedo M. Bagi 602 1.2× 580 1.2× 298 0.8× 154 0.6× 92 0.5× 48 1.8k
Frédéric Morvan 1.2k 2.4× 189 0.4× 147 0.4× 289 1.2× 184 1.0× 16 1.7k
Ichiro Owan 664 1.3× 710 1.4× 353 0.9× 178 0.7× 319 1.8× 28 1.8k
C.M. Semeins 592 1.2× 475 1.0× 258 0.7× 97 0.4× 275 1.5× 25 1.4k
Massimo Marenzana 339 0.7× 331 0.7× 223 0.6× 107 0.4× 78 0.4× 31 1.1k
Susan K. Grimston 766 1.5× 767 1.6× 204 0.5× 152 0.6× 117 0.6× 34 1.8k
Hui Sun 425 0.9× 335 0.7× 290 0.7× 143 0.6× 93 0.5× 26 1.1k
Theresa L. Chen 695 1.4× 273 0.6× 143 0.4× 400 1.7× 86 0.5× 30 1.6k

Countries citing papers authored by Emmanuelle Havis

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuelle Havis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuelle Havis

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