Fred D. Ledley
Impact in
- Clinical Biochemistry top 0.1%
- Metabolism and Genetic Disorders
- Rheumatology top 1%
- Folate and B Vitamins Research
Papers in
-
- Metabolism and Genetic Disorders 54
- Genetics 47
- Virus-based gene therapy research 33
- Animal Genetics and Reproduction 21
- Co-authors
- Savio L.C. WooAnthony G. DiLellaSimon C.M. KwokRuud JansenKathryn RobsonMilton J. FinegoldLaura M. McNameeH E Grenett
- Journals
- Proceedings of the National Academy of Sciences (12 papers)Human Gene Therapy (10 papers)Nature Biotechnology (6 papers)PLoS ONE (6 papers)New England Journal of Medicine (5 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Fred D. Ledley
161 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 173
- Clinical Biochemistry 1.7k
- Rheumatology 860
- Genetics 1.5k
- Molecular Biology 3.7k
- Hepatology 313
Countries citing papers authored by Fred D. Ledley
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 22 | |
| 4 | 2020 | 10 | |
| 5 | 2017 | 9 | |
| 6 | 2017 | 16 | |
| 7 | 2015 | 1 | |
| 8 | 1996 | 1 | |
| 9 | 1994 | 67 | |
| 10 | 1994 | 90 | |
| 11 | 1993 | 43 | |
| 12 | 1993 | 57 | |
| 13 | 1993 | 5 | |
| 14 | 1993 | 13 | |
| 15 | 1992 | 24 | |
| 16 | 1992 | 10 | |
| 17 | 1991 | 17 | |
| 18 | 1990 | 8 | |
| 19 | 1988 | 51 | |
| 20 | 1987 | 21 |
About Fred D. Ledley
Fred D. Ledley is a scholar working on Clinical Biochemistry, Genetics, Molecular Biology, Rheumatology and Business and International Management, 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, Laura M. McNamee, H E Grenett, 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.