Daniel Moreno‐De‐Luca

1.6k total citations · 1 hit paper
16 papers, 677 citations indexed

About

Daniel Moreno‐De‐Luca is a scholar working on Genetics, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Daniel Moreno‐De‐Luca has authored 16 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 7 papers in Cognitive Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Daniel Moreno‐De‐Luca's work include Genomic variations and chromosomal abnormalities (9 papers), Autism Spectrum Disorder Research (7 papers) and Genetics and Neurodevelopmental Disorders (6 papers). Daniel Moreno‐De‐Luca is often cited by papers focused on Genomic variations and chromosomal abnormalities (9 papers), Autism Spectrum Disorder Research (7 papers) and Genetics and Neurodevelopmental Disorders (6 papers). Daniel Moreno‐De‐Luca collaborates with scholars based in United States, Canada and Germany. Daniel Moreno‐De‐Luca's co-authors include John I. Nürnberger, Richard Anney, Joachim Hallmayer, Jacob Vorstman, Jeremy Parr, Scott M. Myers, David H. Ledbetter, David W. Evans, Andrés Moreno-De-Luca and Thomas D. Challman and has published in prestigious journals such as JAMA, Nature Reviews Genetics and American Journal of Psychiatry.

In The Last Decade

Daniel Moreno‐De‐Luca

14 papers receiving 667 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Autism genetics: opportunities and challenges for clinical translation

2017 305 citations Jacob Vorstman, Jeremy Parr et al. Nature Reviews Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Moreno‐De‐Luca United States	9	413	389	179	106	63	16	677
Dina Manaa United States	2	501 1.2×	563 1.4×	270 1.5×	100 0.9×	77 1.2×	2	793
William J. Cutter United Kingdom	12	305 0.7×	276 0.7×	212 1.2×	86 0.8×	71 1.1×	16	659
Corneliu Bodea United States	4	514 1.2×	563 1.4×	284 1.6×	100 0.9×	77 1.2×	5	809
Nathan Dankner United States	7	234 0.6×	373 1.0×	78 0.4×	119 1.1×	47 0.7×	7	491
Aleksandra Djukic United States	14	382 0.9×	368 0.9×	112 0.6×	86 0.8×	148 2.3×	25	597
M. Pilar Trelles United States	9	237 0.6×	197 0.5×	221 1.2×	58 0.5×	88 1.4×	15	530
Kangkang Chu China	12	181 0.4×	478 1.2×	82 0.5×	153 1.4×	54 0.9×	18	599
Derek Sayre Andrews United States	13	191 0.5×	427 1.1×	67 0.4×	121 1.1×	55 0.9×	29	521
Deana D. Li United States	6	221 0.5×	363 0.9×	61 0.3×	84 0.8×	45 0.7×	6	433
Diane C. Lanham United States	11	349 0.8×	425 1.1×	181 1.0×	88 0.8×	148 2.3×	16	717

Countries citing papers authored by Daniel Moreno‐De‐Luca

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Moreno‐De‐Luca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Moreno‐De‐Luca. 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 Daniel Moreno‐De‐Luca. The network helps show where Daniel Moreno‐De‐Luca may publish in the future.

Co-authorship network of co-authors of Daniel Moreno‐De‐Luca

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

All Works

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16 of 16 papers shown

Besterman, Aaron D., Lynn E. DeLisi, Dorothy E. Grice, et al.. (2025). Psychiatric Genetics in Clinical Practice: Essential Knowledge for Mental Health Professionals. American Journal of Psychiatry. 182(8). 728–741.

Butler, Merlin G., Daniel Moreno‐De‐Luca, & Antonio M. Persico. (2022). Actionable Genomics in Clinical Practice: Paradigmatic Case Reports of Clinical and Therapeutic Strategies Based upon Genetic Testing. Genes. 13(2). 323–323. 12 indexed citations

Mehta, Sunil, et al.. (2022). T8. TREATMENT WITH GALANTAMINE IN 15Q13.3 DELETIONS: GENOMICALLY-INFORMED PRECISION MEDICINE STRATEGIES IN NEURODEVELOPMENTAL DISORDERS. European Neuropsychopharmacology. 63. e172–e173. 1 indexed citations

Moreno‐De‐Luca, Daniel & Christa Lese Martin. (2021). All for one and one for all: heterogeneity of genetic etiologies in neurodevelopmental psychiatric disorders. Current Opinion in Genetics & Development. 68. 71–78. 15 indexed citations

Moreno‐De‐Luca, Daniel. (2020). Trains and Outer Space—The Unique Worlds Within Autism. JAMA. 324(16). 1591–1591.

Moreno‐De‐Luca, Daniel, et al.. (2020). Clinical Genetic Testing in Autism Spectrum Disorder in a Large Community-Based Population Sample. JAMA Psychiatry. 77(9). 979–979. 35 indexed citations

Moreno‐De‐Luca, Daniel, et al.. (2020). 17q12 Recurrent Deletion Syndrome. Europe PMC (PubMed Central). 15 indexed citations

Goldstein, Jonathan, David A. Ross, & Daniel Moreno‐De‐Luca. (2019). Found in Translation: Autism Genetics and the Quest for Its Rosetta Stone. Biological Psychiatry. 85(7). e29–e30. 2 indexed citations

Besterman, Aaron D., Daniel Moreno‐De‐Luca, & John I. Nürnberger. (2019). 21st-Century Genetics in Psychiatric Residency Training. JAMA Psychiatry. 76(3). 231–231. 14 indexed citations

10.

Lee, Erica, et al.. (2019). Mosaic trisomy 20 and mitigation in capital crimes sentencing: A review and case report. Behavioral Sciences & the Law. 37(5). 512–521. 1 indexed citations

11.

Nürnberger, John I., Jehannine Austin, Wade H. Berrettini, et al.. (2018). What Should a Psychiatrist Know About Genetics?. The Journal of Clinical Psychiatry. 80(1). 29 indexed citations

12.

Nürnberger, John I., Jehannine Austin, Wade H. Berrettini, et al.. (2018). What Should a Psychiatrist Know About Genetics? Review and Recommendations From the Residency Education Committee of the International Society of Psychiatric Genetics.. eScholarship (California Digital Library). 5 indexed citations

13.

Kishimoto, Keiko, Jun Nomura, Jacob Ellegood, et al.. (2017). Behavioral and neuroanatomical analyses in a genetic mouse model of 2q13 duplication. Genes to Cells. 22(5). 436–451. 7 indexed citations

14.

Vorstman, Jacob, Jeremy Parr, Daniel Moreno‐De‐Luca, et al.. (2017). Autism genetics: opportunities and challenges for clinical translation. Nature Reviews Genetics. 18(6). 362–376. 305 indexed citations breakdown →

15.

Moreno-De-Luca, Andrés, Scott M. Myers, Thomas D. Challman, et al.. (2013). Developmental brain dysfunction: revival and expansion of old concepts based on new genetic evidence. The Lancet Neurology. 12(4). 406–414. 216 indexed citations

16.

Serrano, Norma C., et al.. (2010). Frequency of eNOS polymorphisms in the Colombian general population. BMC Genetics. 11(1). 54–54. 20 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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