Damian Roqueiro

52 total papers · 1.4k total citations
34 papers, 939 citations indexed

About

Damian Roqueiro is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Damian Roqueiro has authored 34 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Artificial Intelligence. Recurrent topics in Damian Roqueiro's work include Genetic Associations and Epidemiology (6 papers), Endometriosis Research and Treatment (5 papers) and Genetic and phenotypic traits in livestock (4 papers). Damian Roqueiro is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Endometriosis Research and Treatment (5 papers) and Genetic and phenotypic traits in livestock (4 papers). Damian Roqueiro collaborates with scholars based in Switzerland, United States and Germany. Damian Roqueiro's co-authors include Dominik G. Grimm, Chang Liu, Detlef Weigel, Rebecca Schwab, Congmao Wang, Christa Lanz, Claude Becker, Yang Dai, Karsten Borgwardt and Asgerally T. Fazleabas and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Plant Cell.

In The Last Decade

Damian Roqueiro

34 papers receiving 927 citations

Author Peers

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

Author Last Decade Papers Cites
Damian Roqueiro 361 310 279 238 230 34 939
Ruitao Zhang 419 1.2× 54 0.2× 153 0.5× 38 0.2× 109 0.5× 52 940
Vicente Arnau 555 1.5× 146 0.5× 45 0.2× 50 0.2× 31 0.1× 36 1.0k
Qin Yu 213 0.6× 169 0.5× 178 0.6× 14 0.1× 129 0.6× 22 794
Clifford A. Rinehart 587 1.6× 252 0.8× 84 0.3× 45 0.2× 38 0.2× 36 1.1k
Xinjun Wang 481 1.3× 98 0.3× 80 0.3× 35 0.1× 47 0.2× 57 871
Kaname Kojima 452 1.3× 109 0.4× 66 0.2× 18 0.1× 21 0.1× 48 863
Maria Suntsova 564 1.6× 61 0.2× 46 0.2× 142 0.6× 47 0.2× 61 917
Tetsuo Otani 263 0.7× 165 0.5× 333 1.2× 19 0.1× 176 0.8× 55 952
Dominique Mercier 217 0.6× 101 0.3× 12 0.0× 110 0.5× 51 0.2× 33 891
G Brugal 422 1.2× 35 0.1× 27 0.1× 40 0.2× 28 0.1× 54 1.0k

Countries citing papers authored by Damian Roqueiro

Since Specialization
Citations

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

Fields of papers citing papers by Damian Roqueiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damian Roqueiro

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