Roy Naja

545 total citations
18 papers, 365 citations indexed

About

Roy Naja is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Roy Naja has authored 18 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pediatrics, Perinatology and Child Health, 8 papers in Public Health, Environmental and Occupational Health and 7 papers in Molecular Biology. Recurrent topics in Roy Naja's work include Prenatal Screening and Diagnostics (10 papers), Reproductive Biology and Fertility (6 papers) and Assisted Reproductive Technology and Twin Pregnancy (6 papers). Roy Naja is often cited by papers focused on Prenatal Screening and Diagnostics (10 papers), Reproductive Biology and Fertility (6 papers) and Assisted Reproductive Technology and Twin Pregnancy (6 papers). Roy Naja collaborates with scholars based in United Kingdom, United States and Canada. Roy Naja's co-authors include René St‐Arnaud, Paul Serhal, Alice Arabian, Jara Ben Nagi, Olivier Dardenne, René Arnaud, Sioban SenGupta, Benjamin P. Jones, Glenville Jones and Martin Kaufmann and has published in prestigious journals such as Journal of Clinical Investigation, International Journal of Molecular Sciences and Endocrinology.

In The Last Decade

Roy Naja

16 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roy Naja United Kingdom 9 147 138 81 73 71 18 365
Mary Lee Fitzsimmons United States 9 194 1.3× 17 0.1× 55 0.7× 107 1.5× 58 0.8× 16 514
Shaoxing Wu United States 7 295 2.0× 15 0.1× 29 0.4× 72 1.0× 68 1.0× 10 383
G. Di Cairano Italy 12 74 0.5× 22 0.2× 34 0.4× 38 0.5× 32 0.5× 17 283
Nahid Yazdanpanah Canada 7 22 0.1× 36 0.3× 38 0.5× 94 1.3× 55 0.8× 14 291
Seyedeh Zahra Shahrokhi Iran 10 49 0.3× 44 0.3× 99 1.2× 32 0.4× 102 1.4× 19 333
Daniel Rodríguez Switzerland 8 57 0.4× 16 0.1× 16 0.2× 181 2.5× 151 2.1× 25 349
Jos Laureys Belgium 5 311 2.1× 14 0.1× 22 0.3× 182 2.5× 35 0.5× 7 472
Achim Ehrnsperger Germany 5 160 1.1× 11 0.1× 18 0.2× 27 0.4× 65 0.9× 5 358
Ioanna Bouba Greece 13 12 0.1× 122 0.9× 90 1.1× 202 2.8× 147 2.1× 31 561
Genevieve Stearns United States 12 33 0.2× 38 0.3× 31 0.4× 20 0.3× 64 0.9× 21 336

Countries citing papers authored by Roy Naja

Since Specialization
Citations

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

Fields of papers citing papers by Roy Naja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roy Naja

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

All Works

18 of 18 papers shown
1.
Kasaven, Lorraine, Benjamin P. Jones, Srdjan Saso, et al.. (2023). Systematic review and meta-analysis: does pre-implantation genetic testing for aneuploidy at the blastocyst stage improve live birth rate?. Journal of Assisted Reproduction and Genetics. 40(10). 2297–2316. 12 indexed citations
2.
Thrasivoulou, Christopher, et al.. (2023). Integrating imaging-based classification and transcriptomics for quality assessment of human oocytes according to their reproductive efficiency. Journal of Assisted Reproduction and Genetics. 40(11). 2545–2556.
3.
SenGupta, Sioban, et al.. (2022). Next Generation Sequencing Detects Premeiotic Errors in Human Oocytes. International Journal of Molecular Sciences. 23(2). 665–665. 8 indexed citations
4.
Balaguer, Nuria, Emilia Mateu, Roy Naja, Jara Ben Nagi, & Miguel Milán. (2021). Chromosome Y as a marker for sex discrepancies in patients with organ transplants: a case report. Molecular Cytogenetics. 14(1). 3–3. 3 indexed citations
5.
L’Heveder, Ariadne, Benjamin P. Jones, Roy Naja, Paul Serhal, & Jara Ben Nagi. (2021). Preimplantation Genetic Testing for Aneuploidy: Current Perspectives. Seminars in Reproductive Medicine. 39(01/02). 1–12. 7 indexed citations
6.
L’Heveder, Ariadne, Benjamin P. Jones, Roy Naja, Paul Serhal, & Jara Ben Nagi. (2020). Pre‐implantation genetic testing for aneuploidy: the past, present and future. The Obstetrician & Gynaecologist. 22(4). 293–304. 3 indexed citations
7.
Nagi, Jara Ben, Benjamin P. Jones, Roy Naja, et al.. (2019). Live birth rate is associated with oocyte yield and number of biopsied and suitable blastocysts to transfer in preimplantation genetic testing (PGT) cycles for monogenic disorders and chromosomal structural rearrangements. European Journal of Obstetrics & Gynecology and Reproductive Biology X. 4. 100055–100055. 23 indexed citations
8.
Naja, Roy, et al.. (2019). Euploid blastocysts implant irrespective of their morphology after NGS-(PGT-A) testing in advanced maternal age patients. Journal of Assisted Reproduction and Genetics. 36(8). 1623–1629. 33 indexed citations
9.
Martineau, Corine, Roy Naja, Martin Kaufmann, et al.. (2018). Optimal bone fracture repair requires 24R,25-dihydroxyvitamin D3 and its effector molecule FAM57B2. Journal of Clinical Investigation. 128(8). 3546–3557. 56 indexed citations
10.
Nagi, Jara Ben, Dagan Wells, Kalliopi E. Loutradi, et al.. (2017). Karyomapping: a single centre's experience from application of methodology to ongoing pregnancy and live-birth rates. Reproductive BioMedicine Online. 35(3). 264–271. 35 indexed citations
11.
Naja, Roy, et al.. (2017). Meiotic outcome in two carriers of Y autosome reciprocal translocations: selective elimination of certain segregants. Molecular Cytogenetics. 10(1). 1–1. 5 indexed citations
12.
Nagi, Jara Ben, Dagan Wells, Kalliopi E. Loutradi, et al.. (2017). Karyomapping: A Single Centre's Experience From Application of Methodology to Ongoing Pregnancy and Live-birth Rates. Obstetrical & Gynecological Survey. 72(12). 716–718.
13.
14.
Tulay, Pınar, et al.. (2015). Investigation of microRNA expression and DNA repair gene transcripts in human oocytes and blastocysts. Journal of Assisted Reproduction and Genetics. 32(12). 1757–1764. 22 indexed citations
15.
St‐Arnaud, René & Roy Naja. (2011). Vitamin D metabolism, cartilage and bone fracture repair. Molecular and Cellular Endocrinology. 347(1-2). 48–54. 73 indexed citations
16.
Naja, Roy, Olivier Dardenne, Alice Arabian, & René Arnaud. (2009). Chondrocyte-Specific Modulation of Cyp27b1 Expression Supports a Role for Local Synthesis of 1,25-Dihydroxyvitamin D3 in Growth Plate Development. Endocrinology. 150(9). 4024–4032. 58 indexed citations
17.
Naja, Roy, et al.. (2004). Accurate and rapid prenatal diagnosis of the most frequent East Mediterranean β‐thalassemia mutations. American Journal of Hematology. 75(4). 220–224. 15 indexed citations
18.
Shbaklo, Hadia, Sami T. Azar, Henry Terwedow, et al.. (2003). No association between the −1031 polymorphism in the TNF-α promoter region and type 1 diabetes. Human Immunology. 64(6). 633–638. 5 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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