L. Pressley
Impact in
- Genetics top 1%
- Hemoglobinopathies and Related Disorders
- Hematology top 2%
- Iron Metabolism and Disorders
- Blood groups and transfusion
Papers in
- Genetics 19
- Hemoglobinopathies and Related Disorders 19
- Hematology 11
- Iron Metabolism and Disorders 10
- Co-authors
- Douglas R. Higgs (16 shared papers)J. B. Clegg (10 shared papers)D. J. Weatherall (13 shared papers)John W. Funder (3 shared papers)Julie M. Old (4 shared papers)G. R. Serjeant (4 shared papers)David M. Hunt (3 shared papers)J. B. Clegg (8 shared papers)
- Journals
- British Journal of Haematology (6 papers)The Medical Journal of Australia (2 papers)Blood (2 papers)Proceedings of the National Academy of Sciences (2 papers)Open Heart (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
L. Pressley
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 74
- Genetics 625
- Hematology 385
- Genetics 223
- Rheumatology 100
- Pediatrics, Perinatology and Child Health 124
Countries citing papers authored by L. Pressley
This map shows the geographic impact of L. Pressley'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 L. Pressley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Pressley more than expected).
Fields of papers citing papers by L. Pressley
This network shows the impact of papers produced by L. Pressley. 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 L. Pressley. The network helps show where L. Pressley may publish in the future.
Co-authors
The 25 scholars most cited alongside L. Pressley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 132 | |
| 2 | 1981 | 110 | |
| 3 | 1980 | 108 | |
| 4 | 1975 | 86 | |
| 5 | 1980 | 86 | |
| 6 | 2006 | 59 | |
| 7 | 1976 | 56 | |
| 8 | 1988 | 52 | |
| 9 | 2017 | 52 | |
| 10 | 1980 | 47 | |
| 11 | 2017 | 46 | |
| 12 | 1979 | 46 | |
| 13 | 1993 | 38 | |
| 14 | 1981 | 34 | |
| 15 | 1981 | 32 | |
| 16 | 1981 | 24 | |
| 17 | 1980 | 23 | |
| 18 | 1980 | 22 | |
| 19 | 1982 | 19 | |
| 20 | 2016 | 18 |
About L. Pressley
L. Pressley is a scholar working on Genetics, Hematology, Epidemiology, Surgery and Molecular Biology, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (19 papers), Iron Metabolism and Disorders (10 papers), Congenital Heart Disease Studies (9 papers), Erythrocyte Function and Pathophysiology (5 papers), Folate and B Vitamins Research (4 papers), Coronary Artery Anomalies (4 papers), Neonatal Health and Biochemistry (3 papers) and Vascular anomalies and interventions (3 papers). The work is most often cited by research in Genetics (625 citations), Hematology (385 citations), Genetics (223 citations), Rheumatology (100 citations) and Pediatrics, Perinatology and Child Health (124 citations). L. Pressley has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Douglas R. Higgs, J. B. Clegg, D. J. Weatherall, John W. Funder, Julie M. Old, G. R. Serjeant, David M. Hunt, J. B. Clegg, David S. Celermajer and R. P. Perrine. Their work appears in journals such as British Journal of Haematology, The Medical Journal of Australia, Blood, Proceedings of the National Academy of Sciences and Open Heart.
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.