E. Lawlor
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
- Hematology 12
- Acute Myeloid Leukemia Research 4
- Blood groups and transfusion 3
- Hematopoietic Stem Cell Transplantation 2
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- Lymphoma Diagnosis and Treatment 4
- Co-authors
- Fordyce A. Davidson (4 shared papers)Peter Simmonds (3 shared papers)J. Power (3 shared papers)P.L. Yap (2 shared papers)Donald B. Smith (2 shared papers)Sisira Pathirana (1 shared paper)Edward C. Holmes (1 shared paper)SR McCann (4 shared papers)
- Journals
- Vox Sanguinis (3 papers)Journal of General Virology (2 papers)British Journal of Haematology (1 paper)Blood (1 paper)Acta Haematologica (1 paper)
- Partner nations
- IrelandUnited KingdomUnited States
In The Last Decade
E. Lawlor
22 papers receiving 675 citations
Peers
Comparison fields: 5 of 72
- Hepatology 339
- Hematology 187
- Genetics 113
- Epidemiology 261
- Pathology and Forensic Medicine 89
Countries citing papers authored by E. Lawlor
This map shows the geographic impact of E. Lawlor'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 E. Lawlor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Lawlor more than expected).
Fields of papers citing papers by E. Lawlor
This network shows the impact of papers produced by E. Lawlor. 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 E. Lawlor. The network helps show where E. Lawlor may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Lawlor, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 241 | |
| 2 | 1981 | 127 | |
| 3 | 1995 | 113 | |
| 4 | 1989 | 70 | |
| 5 | 1996 | 26 | |
| 6 | 1999 | 24 | |
| 7 | 1994 | 15 | |
| 8 | Isochromosome 9q in acute lymphoblastic leukemia: a new non-random finding. | 1989 | 15 |
| 9 | 2005 | 14 | |
| 10 | 2005 | 14 | |
| 11 | 1986 | 11 | |
| 12 | 2024 | 9 | |
| 13 | 1986 | 9 | |
| 14 | Distribution of HLA-A, B and DR genes and haplotypes in the Irish population. | 1997 | 9 |
| 15 | 2001 | 7 | |
| 16 | 2002 | 7 | |
| 17 | 1999 | 5 | |
| 18 | 1988 | 3 | |
| 19 | 2024 | 1 | |
| 20 | 2009 | 1 |
About E. Lawlor
E. Lawlor is a scholar working on Hematology, Pathology and Forensic Medicine, Hepatology, Genetics and Epidemiology, having authored 23 papers that have together received 723 indexed citations. Recurring topics across this work include Hepatitis C virus research (4 papers), Acute Myeloid Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Hepatitis B Virus Studies (3 papers), Blood groups and transfusion (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Hepatology (339 citations), Hematology (187 citations), Genetics (113 citations), Epidemiology (261 citations) and Pathology and Forensic Medicine (89 citations). E. Lawlor has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Fordyce A. Davidson, Peter Simmonds, J. Power, P.L. Yap, Donald B. Smith, Sisira Pathirana, P.L. Yap, Edward C. Holmes, SR McCann and H. G. Prentice. Their work appears in journals such as Vox Sanguinis, Journal of General Virology, British Journal of Haematology, Blood and Acta Haematologica.
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.