Alan D. Yates
Impact in
- Hematology top 5%
- Blood groups and transfusion
- Physiology top 10%
- Tuberous Sclerosis Complex Research
- Erythrocyte Function and Pathophysiology
Papers in
-
- Glycosylation and Glycoproteins Research 12
- Hematology 11
- Blood groups and transfusion 11
- Co-authors
- Winifred M. Watkins (16 shared papers)Pamela Greenwell (7 shared papers)Alan Fryer (1 shared paper)Ian S. Fraser (1 shared paper)S. Povey (1 shared paper)A H Chalmers (1 shared paper)John R.W. Yates (1 shared paper)J P Osborne (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Biochemical Society Transactions (4 papers)Carbohydrate Research (3 papers)International Journal of Immunogenetics (2 papers)Biochimie (1 paper)
- Partner nations
- United KingdomSwedenGermany
In The Last Decade
Alan D. Yates
22 papers receiving 962 citations
Peers
Comparison fields: 5 of 90
- Hematology 213
- Physiology 339
- Molecular Biology 529
- Organic Chemistry 207
- Genetics 164
Countries citing papers authored by Alan D. Yates
This map shows the geographic impact of Alan D. Yates'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 Alan D. Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan D. Yates more than expected).
Fields of papers citing papers by Alan D. Yates
This network shows the impact of papers produced by Alan D. Yates. 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 Alan D. Yates. The network helps show where Alan D. Yates may publish in the future.
Co-authors
The 25 scholars most cited alongside Alan D. Yates, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 369 | |
| 2 | 1976 | 85 | |
| 3 | 1983 | 81 | |
| 4 | 1981 | 66 | |
| 5 | 1988 | 64 | |
| 6 | 1974 | 51 | |
| 7 | 1986 | 46 | |
| 8 | 1983 | 39 | |
| 9 | 1981 | 30 | |
| 10 | 1982 | 25 | |
| 11 | 1978 | 20 | |
| 12 | 1984 | 20 | |
| 13 | 1975 | 19 | |
| 14 | 1989 | 19 | |
| 15 | 1981 | 17 | |
| 16 | 1981 | 16 | |
| 17 | 1987 | 12 | |
| 18 | 1979 | 10 | |
| 19 | 1984 | 7 | |
| 20 | 1980 | 7 |
About Alan D. Yates
Alan D. Yates is a scholar working on Molecular Biology, Hematology, Physiology, Surgery and Organic Chemistry, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (12 papers), Blood groups and transfusion (11 papers), Erythrocyte Function and Pathophysiology (7 papers), Pancreatic function and diabetes (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Enzyme Production and Characterization (3 papers), Diet, Metabolism, and Disease (2 papers) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Hematology (213 citations), Physiology (339 citations), Molecular Biology (529 citations), Organic Chemistry (207 citations) and Genetics (164 citations). Alan D. Yates has collaborated with scholars based in United Kingdom, Sweden and Germany. Frequent co-authors include Winifred M. Watkins, Pamela Greenwell, Alan Fryer, Ian S. Fraser, S. Povey, A H Chalmers, John R.W. Yates, J P Osborne, J. M. Connor and Philip H. Johnson. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biochemical Society Transactions, Carbohydrate Research, International Journal of Immunogenetics and Biochimie.
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.