Brian McNabb

434 citations
15 papers · 193 · h-index 7

Impact in

Papers in

    • Hepatitis C virus research 5
    • Hepatitis B Virus Studies 2
    • Influenza Virus Research Studies 2

Brian McNabb

14 papers receiving 184 citations

Peers

Brian McNabb
Comparison fields: 5 of 36
  • Hepatology 80
  • Orthopedics and Sports Medicine 71
  • Transplantation 9
  • Epidemiology 76
  • Oncology 56
Replace Philip G. Ferstl with:
Philip G. Ferstl Germany
Emanuela Messina Italy
Kolja Eckert Germany
A Ramani India
G. Elia Italy
Tom Hosack United Kingdom
José M. Bengoa United States
Larisa Vasilieva Greece
S. Rosetti Italy
M. Profili Italy
Brian McNabb relative to Philip G. Ferstl Germany Philip G. Ferstl's profile →
Citations per field
00.5×10×14.2×
Philip G. Ferstl · 1×
Citations per year

Countries citing papers authored by Brian McNabb

Since Specialization
Citations

This map shows the geographic impact of Brian McNabb'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 Brian McNabb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian McNabb more than expected).

Fields of papers citing papers by Brian McNabb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian McNabb. 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 Brian McNabb. The network helps show where Brian McNabb may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201849
2 201341
3 201826
4 200822
5 201613
6 201813
7 20149
8 20186
9
Long-term follow up of patients with chronic HCV and no or minimal fibrosis shows low risk for liver-related morbidity and mortality after achieving SVR with DAA-based therapy: Results from the gilead SVR registry.
20175
10 20183
11 20182
12 20132
13 20181
14 20181
15 20180

About Brian McNabb

Brian McNabb is a scholar working on Hepatology, Epidemiology, Surgery, Orthopedics and Sports Medicine and Infectious Diseases, having authored 15 papers that have together received 193 indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Bone health and osteoporosis research (3 papers), Bone health and treatments (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Hepatitis B Virus Studies (2 papers), Systemic Lupus Erythematosus Research (2 papers), HIV/AIDS drug development and treatment (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Hepatology (80 citations), Orthopedics and Sports Medicine (71 citations), Transplantation (9 citations), Epidemiology (76 citations) and Oncology (56 citations). Brian McNabb has collaborated with scholars based in United States, United Kingdom and Vietnam. Frequent co-authors include Warren Isakow, Richard Eastell, Douglas C. Bauer, Dennis M. Black, Elizabeth Barrett‐Connor, Eric Vittinghoff, Ann V. Schwartz, Kristine E. Ensrud, Kosh Agarwal and Beat Müllhaupt. Their work appears in journals such as Journal of Hepatology, Gastroenterology, Journal of Bone and Mineral Research, The Journal of Clinical Endocrinology & Metabolism and Diabetes Obesity and Metabolism.

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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