James M. Gabriel

12 total papers · 743 total citations
8 papers, 495 citations indexed

About

James M. Gabriel is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, James M. Gabriel has authored 8 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Molecular Biology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in James M. Gabriel's work include Genetic Syndromes and Imprinting (8 papers), Epigenetics and DNA Methylation (7 papers) and Prenatal Screening and Diagnostics (4 papers). James M. Gabriel is often cited by papers focused on Genetic Syndromes and Imprinting (8 papers), Epigenetics and DNA Methylation (7 papers) and Prenatal Screening and Diagnostics (4 papers). James M. Gabriel collaborates with scholars based in United States, Germany and Japan. James M. Gabriel's co-authors include Robert D. Nicholls, Tohru Ohta, Shinji Saitoh, Todd A. Gray, Peter K. Rogan, Bernhard Horsthemke, Karin Buiting, Daniel J. Driscoll, Merlin G. Butler and Bethi Muralidhar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The American Journal of Human Genetics and Human Molecular Genetics.

In The Last Decade

James M. Gabriel

8 papers receiving 474 citations

Author Peers

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

Author Last Decade Papers Cites
James M. Gabriel 454 382 202 28 16 8 495
Laëtitia Chotard 300 0.7× 412 1.1× 147 0.7× 60 2.1× 15 0.9× 6 546
Giuseppe Barrano 310 0.7× 310 0.8× 95 0.5× 14 0.5× 16 1.0× 11 442
Maren Runte 378 0.8× 444 1.2× 105 0.5× 16 0.6× 10 0.6× 10 533
M. Shimabukuro 146 0.3× 383 1.0× 104 0.5× 11 0.4× 8 0.5× 6 458
Poustka Annemarie 287 0.6× 431 1.1× 109 0.5× 18 0.6× 15 0.9× 9 514
Lisa Bowdler 191 0.4× 355 0.9× 54 0.3× 14 0.5× 23 1.4× 7 457
Heather R. Glatt-Deeley 242 0.5× 318 0.8× 73 0.4× 19 0.7× 3 0.2× 10 429
Amanda Lindy 322 0.7× 223 0.6× 31 0.2× 14 0.5× 8 0.5× 13 509
Elisabeth A. Keitges 441 1.0× 249 0.7× 85 0.4× 16 0.6× 10 0.6× 13 531
Christine Massicotte 326 0.7× 367 1.0× 66 0.3× 21 0.8× 8 0.5× 6 516

Countries citing papers authored by James M. Gabriel

Since Specialization
Citations

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

Fields of papers citing papers by James M. Gabriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Gabriel. 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 James M. Gabriel. The network helps show where James M. Gabriel may publish in the future.

Co-authorship network of co-authors of James M. Gabriel

This figure shows the co-authorship network connecting the top 25 collaborators of James M. Gabriel. A scholar is included among the top collaborators of James M. Gabriel 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 James M. Gabriel. James M. Gabriel 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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