Brian McNeill

35 papers receiving 1.4k citations

Peers

Brian McNeill
Comparison fields: 5 of 115
  • Biomaterials 269
  • Aquatic Science 123
  • Clinical Biochemistry 112
  • Endocrine and Autonomic Systems 81
  • Developmental Neuroscience 47
Replace Kåre‐Olav Stensløkken with:
Kåre‐Olav Stensløkken Norway
Branka Vulesevic Canada
Frederick A. Thurmond United States
Masato Yano Japan
Milena Romanello Italy
Peter Böck Austria
Naohiro Hashimoto Japan
Nadia Mercader Spain
Yoshiko Sato Japan
Kathy A. Clow Canada
Brian McNeill relative to Kåre‐Olav Stensløkken Norway Kåre‐Olav Stensløkken's profile →
Citations per field
00.5×5.9×
Kåre‐Olav Stensløkken · 1×
Citations per year

Countries citing papers authored by Brian McNeill

Since Specialization
Citations

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

Fields of papers citing papers by Brian McNeill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009165
2 2019122
3 2016101
4 201398
5 200687
6 201477
7 201768
8 200659
9 200647
10 201645
11 201441
12 202037
13 201636
14 200636
15 201335
16 201733
17 200832
18 200630
19 200527
20 201726

About Brian McNeill

Brian McNeill is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Biomaterials, Surgery and Ecology, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (9 papers), Physiological and biochemical adaptations (7 papers), Tissue Engineering and Regenerative Medicine (7 papers), Advanced Glycation End Products research (7 papers), Angiogenesis and VEGF in Cancer (5 papers), Cardiac Fibrosis and Remodeling (5 papers), Hedgehog Signaling Pathway Studies (4 papers) and Aquaculture Nutrition and Growth (4 papers). The work is most often cited by research in Biomaterials (269 citations), Aquatic Science (123 citations), Clinical Biochemistry (112 citations), Endocrine and Autonomic Systems (81 citations) and Developmental Neuroscience (47 citations). Brian McNeill has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Steve F. Perry, Erik J. Suuronen, Branka Vulesevic, Marc Ruel, Valerie A. Wallace, Chantal Mazerolle, Emilio I. Alarcón, Sherry Thurig, Ross W. Milne and Alan J. Mears. Their work appears in journals such as Journal of Experimental Biology, Biomaterials, Journal of Molecular and Cellular Cardiology, Canadian Journal of Cardiology and The FASEB Journal.

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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