A McMichael
Impact in
- Virology top 1%
- HIV Research and Treatment
- Hematology top 5%
- Platelet Disorders and Treatments
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
- Virology 6
- HIV Research and Treatment 6
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- Platelet Disorders and Treatments 3
- Co-authors
- J. A. Morton (3 shared papers)Koya Ariyoshi (2 shared papers)H.C. Whittle (2 shared papers)Tao Dong (2 shared papers)Masafumi Takiguchi (1 shared paper)Frances M. Gotch (1 shared paper)Awen Gallimore (1 shared paper)Denise Whitby (1 shared paper)
- Journals
- British Journal of Haematology (4 papers)The Journal of Experimental Medicine (3 papers)Retrovirology (2 papers)Journal of Clinical Pathology (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
A McMichael
26 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 42
- Virology 563
- Hematology 288
- Immunology 215
- Hepatology 46
- Epidemiology 107
Countries citing papers authored by A McMichael
This map shows the geographic impact of A McMichael'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 A McMichael with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A McMichael more than expected).
Fields of papers citing papers by A McMichael
This network shows the impact of papers produced by A McMichael. 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 A McMichael. The network helps show where A McMichael may publish in the future.
Co-authors
The 25 scholars most cited alongside A McMichael, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 661 | |
| 2 | 1981 | 148 | |
| 3 | 1981 | 142 | |
| 4 | 1994 | 118 | |
| 5 | 1981 | 111 | |
| 6 | 1988 | 109 | |
| 7 | 1981 | 83 | |
| 8 | 1978 | 82 | |
| 9 | 1978 | 64 | |
| 10 | 1985 | 64 | |
| 11 | 1982 | 51 | |
| 12 | 1989 | 50 | |
| 13 | 1978 | 37 | |
| 14 | The association between the HLA system and disease. | 1977 | 34 |
| 15 | The role of cytotoxic T-cells in HIV infection. | 1998 | 28 |
| 16 | 1997 | 19 | |
| 17 | 1996 | 14 | |
| 18 | 2009 | 11 | |
| 19 | Functional characterisation of HLA-B27 in autoimmunity | 2001 | 3 |
| 20 | 2009 | 3 |
About A McMichael
A McMichael is a scholar working on Virology, Hematology, Immunology, Physiology and Hepatology, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), Sarcoidosis and Beryllium Toxicity Research (3 papers), T-cell and B-cell Immunology (3 papers), Platelet Disorders and Treatments (3 papers), vaccines and immunoinformatics approaches (2 papers), Influenza Virus Research Studies (1 paper), Immunotherapy and Immune Responses (1 paper) and Liver Diseases and Immunity (1 paper). The work is most often cited by research in Virology (563 citations), Hematology (288 citations), Immunology (215 citations), Hepatology (46 citations) and Epidemiology (107 citations). A McMichael has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include J. A. Morton, Koya Ariyoshi, H.C. Whittle, Tao Dong, Masafumi Takiguchi, Frances M. Gotch, Awen Gallimore, Denise Whitby, Sehu Sabally and Tumani Corrah. Their work appears in journals such as British Journal of Haematology, The Journal of Experimental Medicine, Retrovirology, Journal of Clinical Pathology and The Journal of Immunology.
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.