J. H. Dagg
Impact in
- Periodontics top 1%
- Oral Health Pathology and Treatment
- Hematology top 5%
- Iron Metabolism and Disorders
Papers in
- Hematology 13
- Iron Metabolism and Disorders 7
- Genetics 9
- Hemoglobinopathies and Related Disorders 5
- Chronic Lymphocytic Leukemia Research 4
- Co-authors
- A. Goldberg (11 shared papers)M.M. Ferguson (4 shared papers)Andrew W. Hutcheon (5 shared papers)D. Walter Wray (3 shared papers)D K Mason (2 shared papers)J.S. Rennie (2 shared papers)D.G. MacDonald (2 shared papers)John R. Anderson (4 shared papers)
- Journals
- British Journal of Haematology (9 papers)The Lancet (4 papers)Postgraduate Medical Journal (3 papers)Journal of Oral Pathology and Medicine (2 papers)Journal of Clinical Pathology (2 papers)
- Partner nations
- United KingdomUnited StatesNorway
In The Last Decade
J. H. Dagg
44 papers receiving 804 citations
Peers
Comparison fields: 5 of 88
- Periodontics 212
- Hematology 180
- Genetics 116
- Dermatology 79
- Pharmacy 39
Countries citing papers authored by J. H. Dagg
This map shows the geographic impact of J. H. Dagg'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 J. H. Dagg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. H. Dagg more than expected).
Fields of papers citing papers by J. H. Dagg
This network shows the impact of papers produced by J. H. Dagg. 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 J. H. Dagg. The network helps show where J. H. Dagg may publish in the future.
Co-authors
The 25 scholars most cited alongside J. H. Dagg, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1975 | 135 | |
| 2 | 1978 | 80 | |
| 3 | 1966 | 62 | |
| 4 | 1965 | 52 | |
| 5 | 1966 | 48 | |
| 6 | 1964 | 48 | |
| 7 | 1974 | 41 | |
| 8 | 1975 | 40 | |
| 9 | 1967 | 34 | |
| 10 | 1972 | 33 | |
| 11 | 1984 | 32 | |
| 12 | 1981 | 31 | |
| 13 | 1966 | 28 | |
| 14 | 1990 | 25 | |
| 15 | 1982 | 24 | |
| 16 | 1978 | 19 | |
| 17 | 1968 | 17 | |
| 18 | 1985 | 13 | |
| 19 | 1986 | 13 | |
| 20 | 1982 | 13 |
About J. H. Dagg
J. H. Dagg is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 45 papers that have together received 952 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (7 papers), Hemoglobinopathies and Related Disorders (5 papers), Autoimmune Bullous Skin Diseases (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Urticaria and Related Conditions (3 papers). The work is most often cited by research in Periodontics (212 citations), Hematology (180 citations), Genetics (116 citations), Dermatology (79 citations) and Pharmacy (39 citations). J. H. Dagg has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include A. Goldberg, M.M. Ferguson, Andrew W. Hutcheon, D. Walter Wray, D K Mason, J.S. Rennie, D.G. MacDonald, John R. Anderson, Edward J. Fitzsimons and Jacqueline A.M. Smith. Their work appears in journals such as British Journal of Haematology, The Lancet, Postgraduate Medical Journal, Journal of Oral Pathology and Medicine and Journal of Clinical Pathology.
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.