David G. Peters

140 total papers · 4.7k total citations
86 papers, 3.5k citations indexed

About

David G. Peters is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, David G. Peters has authored 86 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 18 papers in Pediatrics, Perinatology and Child Health and 15 papers in Genetics. Recurrent topics in David G. Peters's work include Prenatal Screening and Diagnostics (15 papers), Epigenetics and DNA Methylation (10 papers) and Muscle Physiology and Disorders (9 papers). David G. Peters is often cited by papers focused on Prenatal Screening and Diagnostics (15 papers), Epigenetics and DNA Methylation (10 papers) and Muscle Physiology and Disorders (9 papers). David G. Peters collaborates with scholars based in United States, United Kingdom and Sweden. David G. Peters's co-authors include Robert E. Ferrell, Erkki Ruoslahti, Amin Kassam, Tianjiao Chu, Jan Fridén, Richard L. Lieber, Mark Kastantin, Matthew Tirrell, Venkata Ramana Kotamraju and Ilona A. Barash and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

David G. Peters

86 papers receiving 3.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David G. Peters 1.5k 429 358 346 315 86 3.5k
François Berger 1.9k 1.3× 222 0.5× 638 1.8× 225 0.7× 335 1.1× 122 4.6k
John D. Heiss 1.1k 0.8× 320 0.7× 312 0.9× 220 0.6× 265 0.8× 152 4.7k
Didier Wion 1.7k 1.2× 194 0.5× 378 1.1× 360 1.0× 238 0.8× 87 4.3k
Andreas F. Mack 2.6k 1.8× 746 1.7× 268 0.7× 276 0.8× 287 0.9× 160 5.7k
Alp Can 1.1k 0.7× 204 0.5× 218 0.6× 132 0.4× 208 0.7× 81 3.5k
Yan Chen 1.4k 1.0× 210 0.5× 562 1.6× 205 0.6× 299 0.9× 186 3.6k
Emilio Ciusani 2.1k 1.4× 347 0.8× 950 2.7× 169 0.5× 376 1.2× 151 4.6k
Vivaldo Moura‐Neto 3.0k 2.1× 306 0.7× 703 2.0× 325 0.9× 449 1.4× 190 6.5k
Catherine L. Farrell 1.4k 0.9× 767 1.8× 270 0.8× 252 0.7× 132 0.4× 72 4.6k
Núria Montserrat 2.6k 1.8× 346 0.8× 262 0.7× 566 1.6× 814 2.6× 85 5.7k

Countries citing papers authored by David G. Peters

Since Specialization
Citations

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

Fields of papers citing papers by David G. Peters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Peters

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

All Works

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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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