Daniel J. McBride

833 citations
15 papers · 620 · h-index 11

Impact in

Papers in

    • Connective tissue disorders research 8
    • Genetic Mapping and Diversity in Plants and Animals 1
    • Bone and Dental Protein Studies 4

Daniel J. McBride

15 papers receiving 613 citations

Peers

Daniel J. McBride
Comparison fields: 5 of 77
  • Orthopedics and Sports Medicine 99
  • Genetics 317
  • Biomaterials 147
  • Rheumatology 149
  • Immunology and Allergy 44
Replace Constantinos D. Constantinou with:
Constantinos D. Constantinou United States
MaryAnn Weis United States
Susan B. Deak United States
Daniela Zwolanek Germany
Masaru Kaku Japan
Andrew K. Baldwin United Kingdom
Yayoi Izu Japan
Beatrice Sommer United States
Andrzej Steplewski United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel J. McBride

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. McBride

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. McBride. 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 Daniel J. McBride. The network helps show where Daniel J. McBride may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2000126
2 199787
3 200985
4 200775
5 200647
6 200346
7 200841
8 200835
9 200828
10 200722
11 199514
12 20107
13 20224
14 20132
15 20091

About Daniel J. McBride

Daniel J. McBride is a scholar working on Genetics, Rheumatology, Biomaterials, Orthopedics and Sports Medicine and Cancer Research, having authored 15 papers that have together received 620 indexed citations. Recurring topics across this work include Connective tissue disorders research (8 papers), Bone and Dental Protein Studies (4 papers), Collagen: Extraction and Characterization (4 papers), Bone health and osteoporosis research (3 papers), Protease and Inhibitor Mechanisms (3 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Trace Elements in Health (1 paper) and Tendon Structure and Treatment (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (99 citations), Genetics (317 citations), Biomaterials (147 citations), Rheumatology (149 citations) and Immunology and Allergy (44 citations). Daniel J. McBride has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Sergey Leikin, Jay R. Shapiro, Natalia V. Kuznetsova, Barbara Brodsky, Jeffrey H. Omens, Andrew D. McCulloch, Kathrin Becker, Sara M. Weis, Elizabeth A. Streeten and Alan R. Shuldiner. Their work appears in journals such as Journal of Molecular Biology, Bone, Journal of Bone and Mineral Research, Journal of Biological Chemistry and Connective Tissue 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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