David T. Bonthron

14.7k citations
130 papers · 7.9k indexed · 2 hit papers · h-index 45
Topics
Genetic Syndromes and Imprinting (22 papers)Genomic variations and chromosomal abnormalities (19 papers)Genomics and Rare Diseases (17 papers)

In The Last Decade

David T. Bonthron

129 papers receiving 7.7k citations

Hit Papers

Correction: Corrigendum: Endogeno...199320262004201520131993200400600

Peers

David T. Bonthron
Comparison fields: 5 of 173
  • Molecular Biology 3.7k
  • Genetics 2.3k
  • Endocrinology, Diabetes and Metabolism 879
  • Hematology 785
  • Pediatrics, Perinatology and Child Health 770
Replace Thomas B. Shows with:
Thomas B. Shows United States
Alexander F. Markham United Kingdom
Cynthia C. Morton United States
Meinrad Busslinger Austria
Patricia K. Donahoe United States
Andrea Superti‐Furga Switzerland
Bernardo Nadal‐Ginard United States
Helen Donis-Keller United States
Yun‐Bo Shi United States
Finn Cilius Nielsen Denmark
David T. Bonthron relative to Thomas B. Shows United States Thomas B. Shows's profile →
Citations per field
00.5×4.9×
Thomas B. Shows · 1×
Citations per year

Countries citing papers authored by David T. Bonthron

Since Specialization
Citations

This map shows the geographic impact of David T. Bonthron'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 T. Bonthron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Bonthron more than expected).

Fields of papers citing papers by David T. Bonthron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David T. Bonthron

This figure shows the co-authorship network connecting the top 25 collaborators of David T. Bonthron. A scholar is included among the top collaborators of David T. Bonthron 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 T. Bonthron. David T. Bonthron 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 0
2 12
3 23
4 59
5 19
6 174
7 3
8 4
9 40
10 9
11 5
12 122
13 33
14 40
15 170
16 6
17 21
18 11
19 3
20 36

About David T. Bonthron

David T. Bonthron is a scholar working on Genetics, Developmental Biology and Molecular Biology, having authored 130 papers that have together received 7.9k indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (22 papers), Genomic variations and chromosomal abnormalities (19 papers) and Genomics and Rare Diseases (17 papers). The work is most often cited by research in Genetics (2.3k citations), Hematology (785 citations) and Immunology and Allergy (346 citations). David T. Bonthron has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Bruce E. Hayward, Stuart H. Orkin, Lisa Strain, Ian Carr, Eamonn Sheridan, Tucker Collins, Alexander F. Markham, David Ginsburg, Christine P. Diggle and Aruna Asipu. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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