Caroline Nava

8.8k total citations
18 papers, 361 citations indexed

About

Caroline Nava is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Caroline Nava has authored 18 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 7 papers in Molecular Biology and 5 papers in Cognitive Neuroscience. Recurrent topics in Caroline Nava's work include Genetics and Neurodevelopmental Disorders (8 papers), Genomics and Rare Diseases (6 papers) and Genomic variations and chromosomal abnormalities (5 papers). Caroline Nava is often cited by papers focused on Genetics and Neurodevelopmental Disorders (8 papers), Genomics and Rare Diseases (6 papers) and Genomic variations and chromosomal abnormalities (5 papers). Caroline Nava collaborates with scholars based in France, Germany and United States. Caroline Nava's co-authors include Christel Depienne, Cyril Mignot, Delphine Héron, Thomas Haaf, Boris Keren, Simone Rost, Richard Delorme, Martin Schorsch, Ramya Potabattula and Nady El Hajj and has published in prestigious journals such as PLoS ONE, The American Journal of Human Genetics and Human Molecular Genetics.

In The Last Decade

Caroline Nava

17 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caroline Nava France	11	207	164	76	46	45	18	361
Shinji Ono Japan	11	153 0.7×	130 0.8×	38 0.5×	65 1.4×	22 0.5×	26	383
Laëtitia Lambert France	11	235 1.1×	351 2.1×	77 1.0×	41 0.9×	59 1.3×	32	509
Aneek Das Bhowmik India	13	179 0.9×	179 1.1×	68 0.9×	60 1.3×	87 1.9×	36	428
Melissa T. Carter Canada	16	320 1.5×	326 2.0×	103 1.4×	94 2.0×	37 0.8×	34	616
Sureni V. Mullegama United States	15	315 1.5×	308 1.9×	65 0.9×	30 0.7×	27 0.6×	27	564
Sui Yu China	9	307 1.5×	387 2.4×	104 1.4×	51 1.1×	23 0.5×	18	594
Rajech Sharkia Israel	10	165 0.8×	115 0.7×	33 0.4×	52 1.1×	35 0.8×	29	333
Aaron D. Besterman United States	10	110 0.5×	130 0.8×	52 0.7×	30 0.7×	45 1.0×	24	338
Ahm M. Huq United States	10	132 0.6×	89 0.5×	82 1.1×	37 0.8×	39 0.9×	16	319

Countries citing papers authored by Caroline Nava

Since Specialization

Citations

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

Fields of papers citing papers by Caroline Nava

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Nava

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Potabattula, Ramya, Marcus Dittrich, Caroline Nava, et al.. (2023). Effects of paternal and chronological age on BEGAIN methylation and its possible role in autism. Aging. 15(22). 12763–12779. 4 indexed citations

Patat, Olivier, Sandra Whalen, Lionel Arnaud, et al.. (2021). Patients with KCNH1 -related intellectual disability without distinctive features of Zimmermann-Laband/Temple-Baraitser syndrome. Journal of Medical Genetics. 59(5). 505–510. 8 indexed citations

Moretti, Raffaella, Lionel Arnaud, Delphine Bouteiller, et al.. (2021). SCN1A-related epilepsy with recessive inheritance: Two further families. European Journal of Paediatric Neurology. 33. 121–124. 4 indexed citations

Nava, Caroline, et al.. (2021). Focal epilepsy due to de novo SCN1A mutation. Epileptic Disorders. 23(3). 459–465. 1 indexed citations

Nava, Caroline, et al.. (2020). Frontline doctors infected with COVID-19 during a hospital outbreak in Veracruz, Mexico. 36(6). 781–788.

Valence, Stéphanie, Hélène Maurey, Sarah Weckhuysen, et al.. (2019). Three novel patients with epileptic encephalopathy due to biallelic mutations in the PLCB1 gene. Clinical Genetics. 97(3). 477–482. 11 indexed citations

Hiatt, Susan M., Michelle L. Thompson, Jeremy W. Prokop, et al.. (2019). Deleterious Variation in BRSK2 Associates with a Neurodevelopmental Disorder. The American Journal of Human Genetics. 104(4). 701–708. 15 indexed citations

Heide, Solveig, Sandrine Poëa‐Guyon, Véronique Rousseau, et al.. (2019). PAK3 mutations responsible for severe intellectual disability and callosal agenesis inhibit cell migration. Neurobiology of Disease. 136. 104709–104709. 14 indexed citations

Nava, Caroline, et al.. (2019). Dravet Syndrome in Lebanon: First Report on Cases with SCN1A Mutations. Case Reports in Medicine. 2019. 1–4. 5 indexed citations

10.

Landoulsi, Zied, Eric Noé, Saloua Mrabet, et al.. (2018). Clinical and genetic study of Tunisian families with genetic generalized epilepsy: contribution of CACNA1H and MAST4 genes. Neurogenetics. 19(3). 165–178. 13 indexed citations

11.

Edvardson, Simon, Claudia M. Nicolae, Pankaj B. Agrawal, et al.. (2017). Heterozygous De Novo UBTF Gain-of-Function Variant Is Associated with Neurodegeneration in Childhood. The American Journal of Human Genetics. 101(2). 267–273. 34 indexed citations

12.

Lavillaureix, Alinoë, Caroline Nava, Cyril Mignot, et al.. (2017). New generation sequencing for the diagnosis of intellectual disabilities: Exome sequencing or large panel?. European Journal of Paediatric Neurology. 21. e155–e155. 2 indexed citations

13.

Potabattula, Ramya, Marcus Dittrich, Caroline Nava, et al.. (2016). Paternal age effects on spermFOXK1andKCNA7methylation and transmission into the next generation. Human Molecular Genetics. 25(22). ddw328–ddw328. 57 indexed citations

14.

Boissart, Claire, Delphine Héron, Caroline Nava, et al.. (2016). Human Pluripotent Stem Cell-derived Cortical Neurons for High Throughput Medication Screening in Autism: A Proof of Concept Study in SHANK3 Haploinsufficiency Syndrome. EBioMedicine. 9. 293–305. 65 indexed citations

15.

Mignot, Cyril, Agnès Guët, Caroline Nava, et al.. (2015). DYRK1A mutations in two unrelated patients. European Journal of Medical Genetics. 58(3). 168–174. 24 indexed citations

16.

Adamsen, Dea, V. Ramaekers, Véronique Rüfenacht, et al.. (2014). Autism spectrum disorder associated with low serotonin in CSF and mutations in the SLC29A4 plasma membrane monoamine transporter (PMAT) gene. Molecular Autism. 5(1). 43–43. 58 indexed citations

17.

Huguet, Guillaume, Caroline Nava, Nathalie Lemière, et al.. (2014). Heterogeneous Pattern of Selective Pressure for PRRT2 in Human Populations, but No Association with Autism Spectrum Disorders. PLoS ONE. 9(3). e88600–e88600. 13 indexed citations

18.

Cartault, François, et al.. (2011). A new XPC gene splicing mutation has lead to the highest worldwide prevalence of xeroderma pigmentosum in black Mahori patients. DNA repair. 10(6). 577–585. 33 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.

Explore authors with similar magnitude of impact