Dominique Zelus

14 total papers · 454 total citations
10 papers, 362 citations indexed

About

Dominique Zelus is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dominique Zelus has authored 10 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dominique Zelus's work include Machine Learning in Bioinformatics (3 papers), Computational Drug Discovery Methods (3 papers) and Genomics and Phylogenetic Studies (2 papers). Dominique Zelus is often cited by papers focused on Machine Learning in Bioinformatics (3 papers), Computational Drug Discovery Methods (3 papers) and Genomics and Phylogenetic Studies (2 papers). Dominique Zelus collaborates with scholars based in France, Germany and Switzerland. Dominique Zelus's co-authors include Sandrine Hughes, Vincent Laudet, Marc Robinson‐Rechavi, Héctor Escrivá, Oriane Marchand, Pierre‐Luc Bardet, Myriam Delacre, André Elisseeff, Claude Auriault and Yann Guermeur and has published in prestigious journals such as Genome Research, European Journal of Biochemistry and Molecular Biology and Evolution.

In The Last Decade

Dominique Zelus

10 papers receiving 356 citations

Author Peers

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

Author						Papers	Cites
Dominique Zelus	234	111	63	59	43	10	362
Zelin Duan	157 0.7×	51 0.5×	67 1.1×	45 0.8×	32 0.7×	15	383
Kimie Yamazaki	228 1.0×	115 1.0×	46 0.7×	35 0.6×	33 0.8×	15	377
Anna Bakhrat	210 0.9×	77 0.7×	27 0.4×	32 0.5×	35 0.8×	22	366
Jean-Nicolas Volff	149 0.6×	214 1.9×	22 0.3×	78 1.3×	28 0.7×	10	404
Kathleen R. Foltz	158 0.7×	60 0.5×	38 0.6×	30 0.5×	61 1.4×	10	387
Florent Campo‐Paysaa	189 0.8×	60 0.5×	34 0.5×	22 0.4×	25 0.6×	7	300
Annette Szöllösi	137 0.6×	105 0.9×	15 0.2×	23 0.4×	42 1.0×	13	326
Bih-Ying Yang	90 0.4×	90 0.8×	31 0.5×	94 1.6×	14 0.3×	8	360
Stephanie Bannister	213 0.9×	109 1.0×	19 0.3×	15 0.3×	29 0.7×	9	361
Danli Luo	141 0.6×	73 0.7×	72 1.1×	163 2.8×	30 0.7×	20	376

Countries citing papers authored by Dominique Zelus

Since Specialization

Citations

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

Fields of papers citing papers by Dominique Zelus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominique Zelus

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