Daniel Pineda‐Alvarez

5.3k citations
45 papers · 2.2k indexed · 1 hit paper · h-index 21
Topics
Hedgehog Signaling Pathway Studies (14 papers)Genomic variations and chromosomal abnormalities (10 papers)Tracheal and airway disorders (10 papers)

In The Last Decade

Daniel Pineda‐Alvarez

42 papers receiving 2.2k citations

Hit Papers

Technical standards for the interpretation and reporting ...20192026202120232019250500750

Peers

Daniel Pineda‐Alvarez
Comparison fields: 5 of 83
  • Genetics 1.3k
  • Molecular Biology 921
  • Pediatrics, Perinatology and Child Health 503
  • Surgery 400
  • Pulmonary and Respiratory Medicine 220
Replace Trevor Cole with:
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Daniel Pineda‐Alvarez relative to Trevor Cole United Kingdom Trevor Cole's profile →
Citations per field
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Citations per year

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
#WorkIndexed citations
1 8
2 3
3 4
4 27
5
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)breakdown →
879
6 41
7 199
8 86
9 15
10 6
11 11
12 20
13 0
14 11
15 38
16 13
17 64
18 39
19 73
20 68

About Daniel Pineda‐Alvarez

Daniel Pineda‐Alvarez is a scholar working on Developmental Biology, Genetics and Genetics, having authored 45 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (14 papers), Genomic variations and chromosomal abnormalities (10 papers) and Tracheal and airway disorders (10 papers). The work is most often cited by research in Genetics (1.3k citations), Developmental Biology (68 citations) and Pediatrics, Perinatology and Child Health (503 citations). Daniel Pineda‐Alvarez has collaborated with scholars based in United States, Germany and Colombia. Frequent 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. Their work appears in journals such as JNCI Journal of the National Cancer Institute, PEDIATRICS and The American Journal of Human Genetics.

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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