J. David Aponte

491 citations
16 papers · 211 indexed · h-index 9
Topics
Morphological variations and asymmetry (7 papers)Genetic and phenotypic traits in livestock (4 papers)Face recognition and analysis (4 papers)

In The Last Decade

J. David Aponte

15 papers receiving 207 citations

Peers

J. David Aponte
Comparison fields: 5 of 66
  • Genetics 69
  • Geometry and Topology 62
  • Molecular Biology 51
  • Paleontology 32
  • Computer Vision and Pattern Recognition 23
Replace Jacinda R. Larson with:
Jacinda R. Larson Canada
David C. Katz United States
Jodi M. Caple Australia
John E. Byrd United States
Cris E. Hughes United States
Algis Kuliukas Australia
Nandini Singh United States
Joyce E. Sirianni United States
Mirsha Quinto‐Sánchez Mexico
Sara Rolfe United States
J. David Aponte relative to Jacinda R. Larson Canada Jacinda R. Larson's profile →
Citations per field
00.5×3.4×
Jacinda R. Larson · 1×
Citations per year

Countries citing papers authored by J. David Aponte

Since Specialization
Citations

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

Fields of papers citing papers by J. David Aponte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. David Aponte. 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 J. David Aponte. The network helps show where J. David Aponte may publish in the future.

Co-authorship network of co-authors of J. David Aponte

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

All Works

16 of 16 papers shown
#WorkIndexed citations
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Relating multivariate shapes to genescapes using phenotype-biological process associations for craniofacial shape.
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About J. David Aponte

J. David Aponte is a scholar working on Geometry and Topology, Dermatology and Genetics, having authored 16 papers that have together received 211 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (7 papers), Genetic and phenotypic traits in livestock (4 papers) and Face recognition and analysis (4 papers). The work is most often cited by research in Geometry and Topology (62 citations), Paleontology (32 citations) and Orthodontics (15 citations). J. David Aponte has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include Benedikt Hallgrímsson, David C. Katz, Ralph Marcucio, Nils D. Forkert, Charles C. Roseman, Jordan J. Bannister, Nathan M. Young, Ophir D. Klein, Richard A. Spritz and Christopher J. Percival. Their work appears in journals such as Nature Communications, PLoS ONE and The FASEB Journal.

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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