David Cros

3.9k total citations
81 papers, 2.6k citations indexed

About

David Cros is a scholar working on Genetics, Neurology and Ecology. According to data from OpenAlex, David Cros has authored 81 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 20 papers in Neurology and 18 papers in Ecology. Recurrent topics in David Cros's work include Genetic and phenotypic traits in livestock (19 papers), Oil Palm Production and Sustainability (18 papers) and Peripheral Neuropathies and Disorders (13 papers). David Cros is often cited by papers focused on Genetic and phenotypic traits in livestock (19 papers), Oil Palm Production and Sustainability (18 papers) and Peripheral Neuropathies and Disorders (13 papers). David Cros collaborates with scholars based in France, United States and Benin. David Cros's co-authors include Keith H. Chiappa, Lynette Kiers, Jianguang Fang, Bhagwan T. Shahani, Bruno Nouy, Alphonse Omoré, G Serratrice, Richard Macdonell, William J. Triggs and Christopher Kneebone and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

David Cros

79 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Cros France 28 722 657 493 425 419 81 2.6k
Anne Durand France 29 100 0.1× 440 0.7× 393 0.8× 630 1.5× 158 0.4× 81 2.9k
Rosario Osta Spain 35 349 0.5× 1.2k 1.9× 299 0.6× 1.5k 3.6× 117 0.3× 121 3.5k
Pierre Leprince Belgium 34 295 0.4× 167 0.3× 126 0.3× 1.4k 3.4× 129 0.3× 113 3.9k
Guohua Sun China 26 651 0.9× 207 0.3× 182 0.4× 1.0k 2.4× 65 0.2× 103 3.2k
Akio Ohnishi Japan 27 324 0.4× 962 1.5× 147 0.3× 706 1.7× 39 0.1× 211 2.9k
Sho Kanzaki Japan 28 763 1.1× 164 0.2× 99 0.2× 725 1.7× 44 0.1× 146 2.9k
Elizabeth M. Keithley United States 35 1.9k 2.6× 177 0.3× 102 0.2× 983 2.3× 92 0.2× 88 4.4k
E Gutmann Czechia 35 239 0.3× 222 0.3× 758 1.5× 2.0k 4.7× 176 0.4× 148 3.7k
Yan Liu China 37 249 0.3× 213 0.3× 398 0.8× 3.3k 7.9× 63 0.2× 184 5.1k
Elizabeth M. Powell United States 26 219 0.3× 102 0.2× 138 0.3× 753 1.8× 75 0.2× 52 2.8k

Countries citing papers authored by David Cros

Since Specialization
Citations

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

Fields of papers citing papers by David Cros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Cros

This figure shows the co-authorship network connecting the top 25 collaborators of David Cros. A scholar is included among the top collaborators of David Cros 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 David Cros. David Cros is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Clement‐Demange, André, et al.. (2025). Enhancing genomic selection in rubber tree (Hevea brasiliensis): Exploring the impact of genetic relatedness and QTL integration. Industrial Crops and Products. 228. 120908–120908. 1 indexed citations
2.
Cros, David, et al.. (2024). Screening of Triploid Banana Population Under Natural and Controlled Black Sigatoka Disease for Genomic Selection. Plant Disease. 108(7). 2006–2016. 1 indexed citations
3.
4.
Cros, David, et al.. (2018). Training genomic selection models across several breeding cycles increases genetic gain in oil palm in silico study. Molecular Breeding. 38(7). 18 indexed citations
5.
Cuellar, Térésa, Sandra Espéout, Gaëtan Droc, et al.. (2018). Genomic structure, QTL mapping, and molecular markers of lipase genes responsible for palm oil acidity in the oil palm (Elaeis guineensis Jacq.). Tree Genetics & Genomes. 14(5). 4 indexed citations
6.
Cros, David, Stéphanie Bocs, Sébastien Tisné, et al.. (2017). Genomic preselection with genotyping-by-sequencing increases performance of commercial oil palm hybrid crosses. BMC Genomics. 18(1). 839–839. 29 indexed citations
7.
8.
Cros, David, Leopoldo Sánchez, Bénoît Cochard, et al.. (2014). Estimation of genealogical coancestry in plant species using a pedigree reconstruction algorithm and application to an oil palm breeding population. Theoretical and Applied Genetics. 127(4). 981–994. 13 indexed citations
9.
Montoya, Carmenza, Bénoît Cochard, Albert Flori, et al.. (2014). Genetic Architecture of Palm Oil Fatty Acid Composition in Cultivated Oil Palm (Elaeis guineensis Jacq.) Compared to Its Wild Relative E. oleifera (H.B.K) Cortés. PLoS ONE. 9(5). e95412–e95412. 105 indexed citations
10.
Montoya, Carmenza, Ricardo Lopes, Albert Flori, et al.. (2013). Quantitative trait loci (QTLs) analysis of palm oil fatty acid composition in an interspecific pseudo-backcross from Elaeis oleifera (H.B.K.) Cortés and oil palm (Elaeis guineensis Jacq.). Tree Genetics & Genomes. 9(5). 1207–1225. 55 indexed citations
11.
Carré, Clément, Fabrice Gamboa, David Cros, et al.. (2013). Genetic prediction of complex traits: integrating infinitesimal and marked genetic effects. Genetica. 141(4-6). 239–246. 1 indexed citations
12.
Vucic, Steve, Di Tian, Peter Siao Tick Chong, et al.. (2006). Facial onset sensory and motor neuronopathy (FOSMN syndrome): a novel syndrome in neurology. Brain. 129(12). 3384–3390. 59 indexed citations
13.
Cros, David & Kristen E. Drake. (2006). [Multifocal motor neuropathies with conduction block: long-term follow-up of ten patients treated with IVIg].. PubMed. 162 Spec No 1. 3S46–3S50. 2 indexed citations
14.
Cros, David, et al.. (2002). Using Posturography to Detect Unsteadiness in 13 Patients With Peripheral Neuropathy: A Pilot Study. PubMed. 2002(4). 2–8. 11 indexed citations
15.
Kiers, Lynette, Paul D. Clouston, Gonzalo Zúñiga, & David Cros. (1994). Quantitative studies of F responses in Guillain-Barré syndrome and chronic inflammatory demyelinating polyneuropathy. Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section. 93(4). 255–264. 46 indexed citations
16.
Kiers, Lynette, David Cros, Keith H. Chiappa, & Jianguang Fang. (1993). Variability of motor potentials evoked by transcranial magnetic stimulation. Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section. 89(6). 415–423. 379 indexed citations
17.
Cros, David. (1989). Magnetic cortical stimulation : facilitation of motor responses related to instructions concerning movement. Journal of Clinical Neurophysiology. 6. 356. 5 indexed citations
18.
Cros, David, Patricia Harnden, J. F. Pellissier, & G Serratrice. (1989). Muscle hypertrophy in Duchenne muscular dystrophy. Journal of Neurology. 236(1). 43–47. 72 indexed citations
19.
Chiappa, Keith H., David Cros, & Juan José Villalaín Santamaría. (1988). Magnetic Stimulation of the Human Brain. Journal of Clinical Neurophysiology. 5(4). 370–370. 2 indexed citations
20.
Serratrice, G, et al.. (1981). [Cutaneous and muscular unmyelinated afferent fibres. Clinical, histological and experimental study. Possible explanation of muscular cramps (author's transl)].. PubMed. 56(41-42). 1665–70. 2 indexed citations

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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