Barbara M. McFarlane

523 citations
12 papers · 401 · h-index 9

Impact in

  • Hepatology top 2%
    • Liver Diseases and Immunity
    • Hepatitis C virus research
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Liver Diseases and Immunity 7
    • Hepatitis Viruses Studies and Epidemiology 1
    • Liver physiology and pathology 1
    • Liver Disease Diagnosis and Treatment 6
    • Hepatitis B Virus Studies 1

Barbara M. McFarlane

12 papers receiving 378 citations

Peers

Barbara M. McFarlane
Comparison fields: 5 of 44
  • Hepatology 335
  • Epidemiology 231
  • Gastroenterology 32
  • Rheumatology 77
  • Pharmacology 16
Replace J. Hegarty with:
J. Hegarty United Kingdom
R. Stemerowicz Germany
Hirotoshi Fujikawa Japan
Agnel R. Lopes United Kingdom
M.T. Tartaglione Italy
Shiro Fukumoto Japan
Yasushi Shiratori Japan
G Hess Germany
Nóra Sipeki Hungary
Tamás Tornai Hungary
Barbara M. McFarlane relative to J. Hegarty United Kingdom J. Hegarty's profile →
Citations per field
00.5×
J. Hegarty · 1×
Citations per year

Countries citing papers authored by Barbara M. McFarlane

Since Specialization
Citations

This map shows the geographic impact of Barbara 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 Barbara 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 Barbara M. McFarlane more than expected).

Fields of papers citing papers by Barbara M. McFarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara 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 Barbara M. McFarlane. The network helps show where Barbara M. McFarlane may publish in the future.

Co-authors

The 25 scholars most cited alongside Barbara 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 Barbara M. McFarlane Line = papers co-authored together Barbara M. McFarlane links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 200261
2 199459
3 198955
4 199040
5 198639
6 199436
7 199432
8 199032
9 199429
10 19898
11 19887
12 19893

About Barbara M. McFarlane

Barbara M. McFarlane is a scholar working on Hepatology, Epidemiology, Surgery, Pharmacology and Immunology, having authored 12 papers that have together received 401 indexed citations. Recurring topics across this work include Liver Diseases and Immunity (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Macrophage Migration Inhibitory Factor (2 papers), Glycosylation and Glycoproteins Research (1 paper), Pharmacological Effects of Natural Compounds (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper), Liver physiology and pathology (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Hepatology (335 citations), Epidemiology (231 citations), Gastroenterology (32 citations), Rheumatology (77 citations) and Pharmacology (16 citations). Barbara M. McFarlane has collaborated with scholars based in United Kingdom, Italy and Japan. Frequent co-authors include Ian G. McFarlane, Roger Williams, Diego Vergani, Roger Williams, Giorgina Mieli‐Vergani, Germana V. Gregorio, Alex P. Mowat, A Lobo-Yeo, Christopher D. Gove and Philip J. Johnson. Their work appears in journals such as Hepatology, Gastroenterology, Journal of Hepatology, Journal of Medical Virology and Journal of Gastroenterology and Hepatology.

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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