M D Barker
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
-
- Pneumonia and Respiratory Infections
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Protein purification and stability 1
-
- Complement system in diseases 2
- Co-authors
- Elizabeth Miller (1 shared paper)Sarah L. Clark (1 shared paper)Peter Richmond (1 shared paper)Rosemary McCann (1 shared paper)Ed Kaczmarski (1 shared paper)Jamie Findlow (1 shared paper)Ray Borrow (1 shared paper)R. BRIAN BEECHEY (2 shared papers)
- Journals
- Biochemical Journal (2 papers)Epidemiology and Infection (1 paper)The Journal of Infectious Diseases (1 paper)Human Antibodies (1 paper)European Journal of Immunology (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
M D Barker
11 papers receiving 356 citations
Peers
Comparison fields: 5 of 59
- Microbiology 147
- Epidemiology 137
- Immunology 78
- Virology 13
- Radiology, Nuclear Medicine and Imaging 52
Countries citing papers authored by M D Barker
This map shows the geographic impact of M D Barker'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 M D Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M D Barker more than expected).
Fields of papers citing papers by M D Barker
This network shows the impact of papers produced by M D Barker. 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 M D Barker. The network helps show where M D Barker may publish in the future.
Co-authors
The 25 scholars most cited alongside M D Barker, 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 | 2000 | 136 | |
| 2 | 1993 | 45 | |
| 3 | 1970 | 38 | |
| 4 | 1999 | 34 | |
| 5 | Evidence of HLA class II association with antibody response against the malaria vaccine SPF66 in a naturally exposed population. | 1995 | 30 |
| 6 | 1997 | 28 | |
| 7 | 1999 | 15 | |
| 8 | N-linked glycosylation of the C5a receptor. | 1993 | 13 |
| 9 | 1970 | 12 | |
| 10 | 1988 | 11 | |
| 11 | 1985 | 9 |
About M D Barker
M D Barker is a scholar working on Molecular Biology, Immunology, Ecology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 11 papers that have together received 371 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Bacterial Infections and Vaccines (2 papers), Complement system in diseases (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Carbohydrate Chemistry and Synthesis (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Plant Pathogens and Fungal Diseases (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Microbiology (147 citations), Epidemiology (137 citations), Immunology (78 citations), Virology (13 citations) and Radiology, Nuclear Medicine and Imaging (52 citations). M D Barker has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Elizabeth Miller, Sarah L. Clark, Peter Richmond, Rosemary McCann, Ed Kaczmarski, Jamie Findlow, Ray Borrow, R. BRIAN BEECHEY, John F. Donnellan and Dennis R. Burton. Their work appears in journals such as Biochemical Journal, Epidemiology and Infection, The Journal of Infectious Diseases, Human Antibodies and European 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.