Brian MacDonald

2.9k citations
59 papers · 2.5k · h-index 24

Impact in

Papers in

    • Bone Metabolism and Diseases 10
    • Porphyrin Metabolism and Disorders 4
    • Bone health and treatments 13

Brian MacDonald

57 papers receiving 2.3k citations

Peers

Brian MacDonald
Comparison fields: 5 of 126
  • Orthopedics and Sports Medicine 556
  • Oncology 918
  • Genetics 253
  • Hematology 229
  • Rheumatology 244
Replace J. S. Lanchbury with:
J. S. Lanchbury United Kingdom
Rowena D. Devlin United States
Gary Elliott United States
Gordon J Strewler United States
Yasuo Koishihara Japan
Simon W. Fox United Kingdom
Lee Ann Baldridge United States
Mark S. Nanes United States
Y Ohsugi Japan
Anne E. Hughes United Kingdom
Brian MacDonald relative to J. S. Lanchbury United Kingdom J. S. Lanchbury's profile →
Citations per field
00.5×1.5×2×2.4×
J. S. Lanchbury · 1×
Citations per year

Countries citing papers authored by Brian MacDonald

Since Specialization
Citations

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

Fields of papers citing papers by Brian MacDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989318
2 1985246
3 1986200
4 1986145
5 1987145
6 2002142
7 2016117
8 1986113
9 1988102
10 200279
11 198476
12 198971
13 200168
14 198365
15 197765
16 199264
17 198347
18 199945
19 199344
20 198440

About Brian MacDonald

Brian MacDonald is a scholar working on Molecular Biology, Oncology, Genetics, Hematology and Orthopedics and Sports Medicine, having authored 59 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bone health and treatments (13 papers), Bone Metabolism and Diseases (10 papers), Bone health and osteoporosis research (9 papers), Hemoglobinopathies and Related Disorders (8 papers), Iron Metabolism and Disorders (7 papers), Neonatal Health and Biochemistry (4 papers), Estrogen and related hormone effects (4 papers) and Porphyrin Metabolism and Disorders (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (556 citations), Oncology (918 citations), Genetics (253 citations), Hematology (229 citations) and Rheumatology (244 citations). Brian MacDonald has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Maxine Gowen, R.G.G. Russell, Gregory R. Mundy, G. David Roodman, D. E. Hughes, Thomas J. Kuehl, J.A. Gallagher, R Hahn, K J Ibbotson and Bert van Rietbergen. Their work appears in journals such as Blood, Journal of Pharmacology and Experimental Therapeutics, Journal of Clinical Investigation, Bone and Journal of Bone and Mineral Research.

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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