B.M. McFarlane
Impact in
- Hepatology top 2%
- Liver Diseases and Immunity
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
-
- Liver Diseases and Immunity 4
- Liver physiology and pathology 2
-
- Liver Disease Diagnosis and Treatment 4
- Hepatitis B Virus Studies 2
- Co-authors
- Diego Vergani (4 shared papers)I G McFarlane (6 shared papers)C. McSorley (4 shared papers)R. Williams (3 shared papers)Roger Williams (4 shared papers)Roger Williams (3 shared papers)Ian G. McFarlane (4 shared papers)Francesco B. Bianchi (1 shared paper)
- Journals
- Journal of Immunological Methods (3 papers)The Lancet (2 papers)Clinical & Experimental Immunology (1 paper)Gastroenterology (1 paper)Journal of Clinical Pathology (1 paper)
- Partner nations
- United KingdomItalyBrazil
In The Last Decade
B.M. McFarlane
13 papers receiving 600 citations
Peers
Comparison fields: 5 of 53
- Hepatology 473
- Epidemiology 338
- Rheumatology 122
- Gastroenterology 22
- Immunology 60
Countries citing papers authored by B.M. McFarlane
This map shows the geographic impact of B.M. McFarlane'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 B.M. McFarlane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B.M. McFarlane more than expected).
Fields of papers citing papers by B.M. McFarlane
This network shows the impact of papers produced by B.M. McFarlane. 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 B.M. McFarlane. The network helps show where B.M. McFarlane may publish in the future.
Co-authors
The 25 scholars most cited alongside B.M. McFarlane, 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 | 1991 | 174 | |
| 2 | 1986 | 117 | |
| 3 | 1990 | 86 | |
| 4 | Identification of the hepatic asialo-glycoprotein receptor (hepatic lectin) as a component of liver specific membrane lipoprotein (LSP). | 1984 | 75 |
| 5 | Liver autoreactivity in acute virus A, B and non-A, non-B hepatitis. | 1988 | 44 |
| 6 | 1997 | 39 | |
| 7 | 1985 | 33 | |
| 8 | 1995 | 32 | |
| 9 | 1997 | 10 | |
| 10 | 1983 | 8 | |
| 11 | 1988 | 6 | |
| 12 | 1988 | 4 | |
| 13 | 1984 | 1 |
About B.M. McFarlane
B.M. McFarlane is a scholar working on Hepatology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Rheumatology, having authored 13 papers that have together received 629 indexed citations. Recurring topics across this work include Liver Diseases and Immunity (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Galectins and Cancer Biology (2 papers), Hepatitis B Virus Studies (2 papers), Liver physiology and pathology (2 papers) and Drug-Induced Hepatotoxicity and Protection (2 papers). The work is most often cited by research in Hepatology (473 citations), Epidemiology (338 citations), Rheumatology (122 citations), Gastroenterology (22 citations) and Immunology (60 citations). B.M. McFarlane has collaborated with scholars based in United Kingdom, Italy and Brazil. Frequent co-authors include Diego Vergani, I G McFarlane, C. McSorley, R. Williams, Roger Williams, Roger Williams, Ian G. McFarlane, Francesco B. Bianchi, Giorgio Ballardini and Philip J. Johnson. Their work appears in journals such as Journal of Immunological Methods, The Lancet, Clinical & Experimental Immunology, Gastroenterology and Journal of Clinical Pathology.
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.