Jean Noades
- Hematology top 5%
- Blood groups and transfusion 19
- Physiology top 10%
- Erythrocyte Function and Pathophysiology 13
- Genetics top 10%
- Diabetes and associated disorders 4
- Blood disorders and treatments 2
- Genetics top 10%
- Diabetes and associated disorders 4
- Blood disorders and treatments 2
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- Glycosylation and Glycoproteins Research 7
- RNA modifications and cancer 2
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- Monoclonal and Polyclonal Antibodies Research 4
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- Hepatitis B Virus Studies 2
- Co-authors
- R. R. RaceRuth SangerPatricia TippettJane L. SwansonJune GavinJames A. JackMagne K. FagerholTobias Gedde‐Dahl
- Cited by
- HematologyPhysiologyGenetics
- Partner nations
- United KingdomUnited StatesFinland
In The Last Decade
Jean Noades
28 papers receiving 514 citations
Peers
Comparison fields: 5 of 69
- Hematology 331
- Physiology 243
- Genetics 80
- Genetics 187
- Immunology 94
Countries citing papers authored by Jean Noades
This map shows the geographic impact of Jean Noades'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 Jean Noades with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Noades more than expected).
Fields of papers citing papers by Jean Noades
This network shows the impact of papers produced by Jean Noades. 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 Jean Noades. The network helps show where Jean Noades may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean Noades, 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 | 1988 | 1 | |
| 2 | 1988 | 10 | |
| 3 | Polymorphisms in some racial groups in Burma. | 1987 | 1 |
| 4 | 1977 | 19 | |
| 5 | 1977 | 1 | |
| 6 | 1973 | 18 | |
| 7 | 1967 | 16 | |
| 8 | 1967 | 31 | |
| 9 | 1967 | 3 | |
| 10 | 1967 | 1 | |
| 11 | 1967 | 9 | |
| 12 | 1965 | 25 | |
| 13 | 1965 | 4 | |
| 14 | 1964 | 8 | |
| 15 | 1960 | 9 | |
| 16 | 1960 | 1 | |
| 17 | 1960 | 28 | |
| 18 | 1960 | 78 | |
| 19 | 1959 | 5 | |
| 20 | A new antigen and antibody belonging to the P blood group system. | 1959 | 52 |
About Jean Noades
Jean Noades is a scholar working on Hematology, Physiology, Microbiology, Genetics and Molecular Biology, having authored 30 papers that have together received 591 indexed citations. Recurring topics across this work include Blood groups and transfusion (19 papers), Erythrocyte Function and Pathophysiology (13 papers), Glycosylation and Glycoproteins Research (7 papers), Diabetes and associated disorders (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Blood disorders and treatments (2 papers), RNA modifications and cancer (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Hematology (331 citations), Physiology (243 citations), Genetics (80 citations), Genetics (187 citations) and Immunology (94 citations). Jean Noades has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include R. R. Race, Ruth Sanger, Patricia Tippett, Jane L. Swanson, June Gavin, James A. Jack, Magne K. Fagerhol, Tobias Gedde‐Dahl, W. L. Marsh and W. J. Jenkins. Their work appears in journals such as Vox Sanguinis, Annals of Human Genetics, Nature, Journal of Medical Genetics and Sub-cellular biochemistry.
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.