D. Todd
Impact in
- Genetics top 0.5%
- Hemoglobinopathies and Related Disorders
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 46
- Hemoglobinopathies and Related Disorders 45
-
- Lymphoma Diagnosis and Treatment 30
- Co-authors
- Yuet Wai Kan (16 shared papers)Raymond H. S. Liang (36 shared papers)Vivian Chan (19 shared papers)T. K. Chan (33 shared papers)Faith C. S. Ho (24 shared papers)Yok‐Lam Kwong (9 shared papers)S. C. Tso (15 shared papers)Toong Khuan Chan (21 shared papers)
- Journals
- Hematological Oncology (13 papers)Blood (11 papers)British Journal of Haematology (10 papers)Cancer Chemotherapy and Pharmacology (8 papers)Cancer (7 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
D. Todd
131 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 102
- Genetics 1.7k
- Pathology and Forensic Medicine 898
- Hematology 537
- Hepatology 326
- Pediatrics, Perinatology and Child Health 280
Countries citing papers authored by D. Todd
This map shows the geographic impact of D. Todd'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 D. Todd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Todd more than expected).
Fields of papers citing papers by D. Todd
This network shows the impact of papers produced by D. Todd. 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 D. Todd. The network helps show where D. Todd may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Todd, 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 242 | |
| 2 | 1997 | 234 | |
| 3 | 1990 | 210 | |
| 4 | 1974 | 202 | |
| 5 | 2000 | 183 | |
| 6 | 1977 | 175 | |
| 7 | 1985 | 151 | |
| 8 | 1990 | 151 | |
| 9 | 1975 | 149 | |
| 10 | 1981 | 142 | |
| 11 | 1984 | 136 | |
| 12 | 1995 | 126 | |
| 13 | 1989 | 123 | |
| 14 | 1979 | 104 | |
| 15 | 1997 | 85 | |
| 16 | 1997 | 85 | |
| 17 | 1958 | 75 | |
| 18 | 1990 | 74 | |
| 19 | 1997 | 71 | |
| 20 | 1995 | 63 |
About D. Todd
D. Todd is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 132 papers that have together received 4.8k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (45 papers), Lymphoma Diagnosis and Treatment (30 papers), Neonatal Health and Biochemistry (10 papers), Acute Lymphoblastic Leukemia research (7 papers), Acute Myeloid Leukemia Research (6 papers), Erythropoietin and Anemia Treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Iron Metabolism and Disorders (3 papers). The work is most often cited by research in Genetics (1.7k citations), Pathology and Forensic Medicine (898 citations), Hematology (537 citations), Hepatology (326 citations) and Pediatrics, Perinatology and Child Health (280 citations). D. Todd has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yuet Wai Kan, Raymond H. S. Liang, Vivian Chan, T. K. Chan, Faith C. S. Ho, Yok‐Lam Kwong, S. C. Tso, Toong Khuan Chan, A. J. S. McFadzean and Andrée M. Dozy. Their work appears in journals such as Hematological Oncology, Blood, British Journal of Haematology, Cancer Chemotherapy and Pharmacology and Cancer.
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.