Fred D. Ledley

161 papers receiving 5.7k citations

Peers

Fred D. Ledley
Comparison fields: 5 of 173
  • Clinical Biochemistry 1.7k
  • Rheumatology 860
  • Genetics 1.5k
  • Molecular Biology 3.7k
  • Hepatology 313
Replace Werner Reutter with:
Werner Reutter Germany
Philip Lee United States
Stephen J. Gould United States
Michael A. Becker United States
Christian Jacobsen Denmark
Kevin Jon Williams United States
Richard R. Drake United States
Erik A.C. Wiemer Netherlands
Keith D. Robertson United States
Lawrence C. Brody United States
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Citations per year

Countries citing papers authored by Fred D. Ledley

Since Specialization
Citations

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

Fields of papers citing papers by Fred D. Ledley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred D. Ledley. 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 Fred D. Ledley. The network helps show where Fred D. Ledley may publish in the future.

Co-authors

The 25 scholars most cited alongside Fred D. Ledley, 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 Fred D. Ledley Line = papers co-authored together Fred D. Ledley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995382
2 1991297
3 1985287
4 1984186
5 1986155
6 1996152
7 1987150
8 1976146
9
Extensive restriction site polymorphism at the human phenylalanine hydroxylase locus and application in prenatal diagnosis of phenylketonuria.
1985133
10
Identification of a point mutation in the topoisomerase II gene from a human leukemia cell line containing an amsacrine-resistant form of topoisomerase II.
1991126
11 2018117
12 1987113
13 1985113
14 1985109
15 1989100
16 199499
17 199490
18 202086
19 199484
20 198782

About Fred D. Ledley

Fred D. Ledley is a scholar working on Molecular Biology, Clinical Biochemistry, Genetics, Public Health, Environmental and Occupational Health and Rheumatology, having authored 168 papers that have together received 6.0k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (54 papers), CRISPR and Genetic Engineering (33 papers), Virus-based gene therapy research (33 papers), Animal Genetics and Reproduction (21 papers), Folate and B Vitamins Research (20 papers), Biochemical and Molecular Research (16 papers), Pharmaceutical Economics and Policy (16 papers) and Biotechnology and Related Fields (11 papers). The work is most often cited by research in Clinical Biochemistry (1.7k citations), Rheumatology (860 citations), Genetics (1.5k citations), Molecular Biology (3.7k citations) and Hepatology (313 citations). Fred D. Ledley has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Savio L.C. Woo, Anthony G. DiLella, Simon C.M. Kwok, Ruud Jansen, Kathryn Robson, Milton J. Finegold, H E Grenett, Laura M. McNamee, Ekaterina Galkina Cleary and Bert W. O’Malley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Human Gene Therapy, Nature Biotechnology, PLoS ONE 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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