Don Leigh

1.5k citations
42 papers · 938 · h-index 16

Impact in

Papers in

Don Leigh

41 papers receiving 847 citations

Peers

Don Leigh
Comparison fields: 5 of 77
  • Pediatrics, Perinatology and Child Health 488
  • Genetics 311
  • Reproductive Medicine 58
  • Public Health, Environmental and Occupational Health 135
  • Molecular Biology 263
Replace Michael V. Zaragoza with:
Michael V. Zaragoza United States
Manuel Viotti United States
G. L. Terzoli Italy
Dehua Cheng China
Mina Popovic Belgium
Kathy Mann United Kingdom
Diego Marín United States
Shu‐Zhen Huang China
Georgia Kakourou Greece
Sophie Brouillet France
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Citations per field
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Citations per year

Countries citing papers authored by Don Leigh

Since Specialization
Citations

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

Fields of papers citing papers by Don Leigh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don Leigh. 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 Don Leigh. The network helps show where Don Leigh may publish in the future.

Co-authors

The 25 scholars most cited alongside Don Leigh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Don Leigh Line = papers co-authored together Don Leigh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005181
2
Uniparental disomy 15 resulting from "correction" of an initial trisomy 15.
1992103
3 200882
4 198480
5 200479
6 200042
7 201438
8 201028
9 201926
10 202123
11 202023
12 201722
13 199819
14 200019
15 200515
16 202315
17 200514
18 199914
19
The genetic screening of preimplantation embryos by comparative genomic hybridisation.
201114
20 201312

About Don Leigh

Don Leigh is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Genetics, Public Health, Environmental and Occupational Health and Genetics, having authored 42 papers that have together received 938 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (17 papers), Genomic variations and chromosomal abnormalities (5 papers), Muscle Physiology and Disorders (4 papers), Molecular Biology Techniques and Applications (4 papers), Reproductive Biology and Fertility (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Genetic Syndromes and Imprinting (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (488 citations), Genetics (311 citations), Reproductive Medicine (58 citations), Public Health, Environmental and Occupational Health (135 citations) and Molecular Biology (263 citations). Don Leigh has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Steven J. McArthur, Robert P.S. Jansen, James Marshall, R.K. Scopes, Peter L. Rogers, Louise Carey, James Catt, Alison Gee, David S. Cram and Stuart Purvis‐Smith. Their work appears in journals such as Fertility and Sterility, Reproductive BioMedicine Online, Prenatal Diagnosis, Human Reproduction and Applied Microbiology and Biotechnology.

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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