B.M. McFarlane

726 citations
13 papers · 642 · h-index 9

Impact in

  • Hepatology top 2%
    • Liver Diseases and Immunity
    • Hepatitis C virus research
    • Liver physiology and pathology
    • Hepatitis B Virus Studies

Papers in

B.M. McFarlane

13 papers receiving 604 citations

Peers

B.M. McFarlane
Comparison fields: 5 of 37
  • Hepatology 506
  • Epidemiology 59
  • Pathology and Forensic Medicine 20
  • Parasitology 8
  • Immunology 19
Replace K Hiroshige with:
K Hiroshige Japan
B M Wojcicka United Kingdom
Roman Stemerowicz Germany
Elisabetta Borghesio Italy
Dirk Michels Germany
Toshinari Shimoe Japan
Isabella Cascavilla Italy
Joy Worthington United Kingdom
Paul S. Monroe United States
Takayoshi Fukutomi Japan
B.M. McFarlane relative to K Hiroshige Japan K Hiroshige's profile →
Citations per field
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K Hiroshige · 1×
Citations per year

Countries citing papers authored by B.M. McFarlane

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with B.M. McFarlane Line = papers co-authored together B.M. McFarlane links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1991182
2 1986116
3 199086
4
Identification of the hepatic asialo-glycoprotein receptor (hepatic lectin) as a component of liver specific membrane lipoprotein (LSP).
198477
5
Liver autoreactivity in acute virus A, B and non-A, non-B hepatitis.
198844
6 199739
7 199534
8 198533
9 199711
10 19839
11 19886
12 19884
13 19841

About B.M. McFarlane

B.M. McFarlane is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Cell Biology and Rheumatology, having authored 13 papers that have together received 642 indexed citations. Recurring topics across this work include Liver Diseases and Immunity (9 papers), Hepatitis B Virus Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Systemic Lupus Erythematosus Research (1 paper), Hepatitis C virus research (1 paper), Biotin and Related Studies (1 paper) and Liver Disease and Transplantation (1 paper). The work is most often cited by research in Hepatology (506 citations), Epidemiology (59 citations), Pathology and Forensic Medicine (20 citations), Parasitology (8 citations) and Immunology (19 citations). B.M. McFarlane has collaborated with scholars based in United Kingdom, Brazil and Italy. Frequent co-authors include Roger L. Williams, I G McFarlane, Diego Vergani, C. McSorley, Ian G. McFarlane, Giorgina Mieli‐Vergani, Marco Lenzi, Giorgio Ballardini, Heather M. Smith and Francesco Bianco Bianchi. Their work appears in journals such as Journal of Immunological Methods, The Lancet, Gastroenterology, Journal of Hepatology and Transactions of the Royal Society of Tropical Medicine and Hygiene.

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.

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