Don Leigh

1.5k citations
43 papers · 933 indexed · h-index 15

Impact in

Papers in

Don Leigh

41 papers receiving 841 citations

Peers

Don Leigh
Comparison fields: 5 of 80
  • Pediatrics, Perinatology and Child Health 548
  • Genetics 387
  • Reproductive Medicine 73
  • Public Health, Environmental and Occupational Health 200
  • Molecular Biology 329
Replace Michael V. Zaragoza with:
Michael V. Zaragoza United States
G. L. Terzoli Italy
Dehua Cheng China
Manuel Viotti United States
Georgia Kakourou Greece
Atsushi Fukuda Japan
M. Bras Netherlands
Judy Chernos Canada
Mina Popovic Belgium
Frederick W. Luthardt United States
Don Leigh relative to Michael V. Zaragoza United States Michael V. Zaragoza's profile →
Citations per field
00.5×1.5×
Michael V. Zaragoza · 1×
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 43 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 202023
11 202122
12 201721
13 200019
14 199819
15 200515
16 202314
17 200514
18
The genetic screening of preimplantation embryos by comparative genomic hybridisation.
201114
19 199914
20 201312

About Don Leigh

Don Leigh is a scholar working on Pediatrics, Perinatology and Child Health, Health Informatics, Genetics, Family Practice and Immunology and Allergy, having authored 43 papers that have together received 933 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (17 papers), Genomic variations and chromosomal abnormalities (9 papers), Reproductive Biology and Fertility (5 papers), Molecular Biology Techniques and Applications (4 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers), Muscle Physiology and Disorders (4 papers), Genetic Syndromes and Imprinting (3 papers) and Fetal and Pediatric Neurological Disorders (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (548 citations), Genetics (387 citations), Reproductive Medicine (73 citations), Public Health, Environmental and Occupational Health (200 citations) and Molecular Biology (329 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, James Catt, Louise Carey, Alison Gee, P.R.L.C. Lam-Po-Tang and Stuart Purvis‐Smith. Their work appears in journals such as Fertility and Sterility, Reproductive BioMedicine Online, Prenatal Diagnosis, Human Reproduction and The Pediatric Infectious Disease 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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