Daniel Pineda‐Alvarez

5.3k total citations · 1 hit paper
45 papers, 2.2k citations indexed

About

Daniel Pineda‐Alvarez is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Daniel Pineda‐Alvarez has authored 45 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 18 papers in Molecular Biology and 13 papers in Surgery. Recurrent topics in Daniel Pineda‐Alvarez's work include Hedgehog Signaling Pathway Studies (14 papers), Genomic variations and chromosomal abnormalities (10 papers) and Tracheal and airway disorders (10 papers). Daniel Pineda‐Alvarez is often cited by papers focused on Hedgehog Signaling Pathway Studies (14 papers), Genomic variations and chromosomal abnormalities (10 papers) and Tracheal and airway disorders (10 papers). Daniel Pineda‐Alvarez collaborates with scholars based in United States, Germany and Colombia. Daniel Pineda‐Alvarez's co-authors include Benjamin D. Solomon, Swaroop Aradhya, Athena M. Cherry, Ankita Patel, Deborah Ritter, Gordana Raca, Sarah T. South, Erik C. Thorland, Hutton M. Kearney and Erin Rooney Riggs and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, PEDIATRICS and The American Journal of Human Genetics.

In The Last Decade

Daniel Pineda‐Alvarez

42 papers receiving 2.2k citations

Hit Papers

Technical standards for the interpretation and reporting ... 2019 2026 2021 2023 2019 250 500 750
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.

  1. Technical standards for the interpretation and reporting of constitutional copy-number variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics (ACMG) and the Clinical Genome Resource (ClinGen)
    2019 879 citations Erin Rooney Riggs, Erica Andersen et al. Genetics in Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Pineda‐Alvarez United States 21 1.3k 921 503 400 220 45 2.2k
Tiong Yang Tan Australia 25 1.4k 1.0× 1.1k 1.2× 238 0.5× 203 0.5× 170 0.8× 69 2.3k
Trevor Cole United Kingdom 31 1.7k 1.3× 1.7k 1.9× 489 1.0× 386 1.0× 261 1.2× 62 3.2k
Sibel Kantarci United States 15 1.0k 0.8× 821 0.9× 385 0.8× 248 0.6× 156 0.7× 23 1.8k
Mahin Golabi United States 26 1.2k 0.9× 1.3k 1.4× 386 0.8× 470 1.2× 146 0.7× 59 2.4k
Birgit Sikkema‐Raddatz Netherlands 26 1.4k 1.1× 972 1.1× 1.1k 2.1× 178 0.4× 202 0.9× 69 2.6k
Kwame Anyane‐Yeboa United States 26 1.2k 0.9× 1.3k 1.4× 361 0.7× 277 0.7× 233 1.1× 66 2.3k
Hutton M. Kearney United States 21 2.2k 1.6× 1.1k 1.2× 1.0k 2.1× 175 0.4× 145 0.7× 40 3.2k
Małgorzata Krajewska‐Walasek Poland 23 1.0k 0.8× 1.4k 1.5× 329 0.7× 298 0.7× 142 0.6× 110 2.2k
Jacqueline Schoumans Sweden 29 1.6k 1.2× 1.2k 1.3× 442 0.9× 125 0.3× 162 0.7× 73 2.5k
Susan Holder United Kingdom 21 1.2k 0.9× 1.1k 1.2× 265 0.5× 525 1.3× 94 0.4× 43 2.2k

Countries citing papers authored by Daniel Pineda‐Alvarez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pineda‐Alvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Pineda‐Alvarez

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Pineda‐Alvarez. A scholar is included among the top collaborators of Daniel Pineda‐Alvarez 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 Pineda‐Alvarez. Daniel Pineda‐Alvarez 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.
Truty, Rebecca, Susan Rojahn, Karen Ouyang, et al.. (2023). Patterns of mosaicism for sequence and copy-number variants discovered through clinical deep sequencing of disease-related genes in one million individuals. The American Journal of Human Genetics. 110(4). 551–564. 8 indexed citations
2.
Heald, Brandie, Sara Pirzadeh‐Miller, Rachel E. Ellsworth, et al.. (2023). Cascade testing for hereditary cancer: comprehensive multigene panels identify unexpected actionable findings in relatives. JNCI Journal of the National Cancer Institute. 116(2). 334–337. 3 indexed citations
3.
Aradhya, Swaroop, et al.. (2021). Carrier screening in the Mexican Jewish community using a pan-ethnic expanded carrier screening NGS panel. Genetics in Medicine. 24(4). 821–830. 4 indexed citations
4.
Clark, Dana, Scott T. Michalski, Rashmi Tondon, et al.. (2020). Loss-of-function variants in CTNNA1 detected on multigene panel testing in individuals with gastric or breast cancer. Genetics in Medicine. 22(5). 840–846. 27 indexed citations
5.
Riggs, Erin Rooney, Erica Andersen, Athena M. Cherry, et al.. (2019). Technical standards for the interpretation and reporting of constitutional copy-number variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics (ACMG) and the Clinical Genome Resource (ClinGen). Genetics in Medicine. 22(2). 245–257. 879 indexed citations breakdown →
6.
Meck, Jeanne, Ludmila Matyakhina, Ayala Aviram, et al.. (2015). Noninvasive prenatal screening for aneuploidy: positive predictive values based on cytogenetic findings. American Journal of Obstetrics and Gynecology. 213(2). 214.e1–214.e5. 41 indexed citations
7.
Susswein, Lisa R., Megan L. Marshall, Rachel Nusbaum, et al.. (2015). Pathogenic and likely pathogenic variant prevalence among the first 10,000 patients referred for next-generation cancer panel testing. Genetics in Medicine. 18(8). 823–832. 199 indexed citations
8.
Retterer, Kyle, Julie Scuffins, Daniel Schmidt, et al.. (2014). Assessing copy number from exome sequencing and exome array CGH based on CNV spectrum in a large clinical cohort. Genetics in Medicine. 17(8). 623–629. 86 indexed citations
9.
Solomon, Benjamin D., Daniel Pineda‐Alvarez, Donald W. Hadley, et al.. (2012). Exome Sequencing and High-Density Microarray Testing in Monozygotic Twin Pairs Discordant for Features of VACTERL Association. Molecular Syndromology. 4(1-2). 27–31. 15 indexed citations
10.
Ribeiro, Lucilene Arilho, Erich Roessler, Ping Hu, et al.. (2012). Comparison of mutation findings in ZIC2 between microform and classical holoprosencephaly in a Brazilian cohort. Birth Defects Research Part A Clinical and Molecular Teratology. 94(11). 912–917. 6 indexed citations
11.
Solomon, Benjamin D., Daniel Pineda‐Alvarez, Donald W. Hadley, et al.. (2011). Personalized genomic medicine: Lessons from the exome. Molecular Genetics and Metabolism. 104(1-2). 189–191. 11 indexed citations
12.
Solomon, Benjamin D., Daniel Pineda‐Alvarez, Donald W. Hadley, et al.. (2011). De novo deletion of chromosome 20q13.33 in a patient with tracheo‐esophageal fistula, cardiac defects and genitourinary anomalies implicates GTPBP5 as a candidate gene. Birth Defects Research Part A Clinical and Molecular Teratology. 91(9). 862–865. 20 indexed citations
13.
14.
Dubourg, Christèle, Véronique David, Andrea Gropman, et al.. (2010). Clinical utility gene card for: Holoprosencephaly. European Journal of Human Genetics. 19(1). 3–3. 11 indexed citations
15.
Raam, Manu S., Daniel Pineda‐Alvarez, Donald W. Hadley, & Benjamin D. Solomon. (2010). Long-term outcomes of adults with features of VACTERL association. European Journal of Medical Genetics. 54(1). 34–41. 38 indexed citations
16.
Solomon, Benjamin D., Daniel Pineda‐Alvarez, Sandra Mercier, et al.. (2010). Holoprosencephaly flashcards: A summary for the clinician. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 154C(1). 3–7. 13 indexed citations
17.
Solomon, Benjamin D., Daniel Pineda‐Alvarez, Manu S. Raam, et al.. (2010). Analysis of component findings in 79 patients diagnosed with VACTERL association. American Journal of Medical Genetics Part A. 152A(9). 2236–2244. 64 indexed citations
18.
Solomon, Benjamin D., Manu S. Raam, & Daniel Pineda‐Alvarez. (2010). Analysis of genitourinary anomalies in patients with VACTERL (Vertebral anomalies, Anal atresia, Cardiac malformations, Tracheo‐Esophageal fistula, Renal anomalies, Limb abnormalities) association. Congenital Anomalies. 51(2). 87–91. 39 indexed citations
19.
Solomon, Benjamin D., Daniel Pineda‐Alvarez, Joan Z. Balog, et al.. (2009). Compound heterozygosity for mutations in PAX6 in a patient with complex brain anomaly, neonatal diabetes mellitus, and microophthalmia. American Journal of Medical Genetics Part A. 149A(11). 2543–2546. 73 indexed citations
20.
Roessler, Erich, Kênia Balbi El-Jaick, Christèle Dubourg, et al.. (2009). The mutational spectrum of holoprosencephaly-associated changes within theSHHgene in humans predicts loss-of-function through either key structural alterations of the ligand or its altered synthesis. Human Mutation. 30(10). E921–E935. 68 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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