David J. McQuillan
- Cell Biology top 0.2%
- Molecular Biology top 5%
- Surgery top 5%
- Rheumatology top 1%
- Immunology and Allergy top 0.5%
- Co-authors
- Renato V. IozzoAnne M. HockingRick T. OwensTamayuki ShinomuraInge EichstetterDavid K. MoscatelloSilvia GoldoniChristopher J. Handley
- Topics
- Proteoglycans and glycosaminoglycans research (38 papers)Glycosylation and Glycoproteins Research (32 papers)Cell Adhesion Molecules Research (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
David J. McQuillan
58 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 120
- Cell Biology 2.5k
- Molecular Biology 2.4k
- Surgery 882
- Rheumatology 855
- Immunology and Allergy 784
Countries citing papers authored by David J. McQuillan
This map shows the geographic impact of David J. McQuillan'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 David J. McQuillan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. McQuillan more than expected).
Fields of papers citing papers by David J. McQuillan
This network shows the impact of papers produced by David J. McQuillan. 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 David J. McQuillan. The network helps show where David J. McQuillan may publish in the future.
Co-authorship network of co-authors of David J. McQuillan
This figure shows the co-authorship network connecting the top 25 collaborators of David J. McQuillan. A scholar is included among the top collaborators of David J. McQuillan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. McQuillan. David J. McQuillan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 43 | |
| 3 | 193 | |
| 4 | 90 | |
| 5 | 129 | |
| 6 | 122 | |
| 7 | 138 | |
| 8 | 34 | |
| 9 | 103 | |
| 10 | 31 | |
| 11 | 163 | |
| 12 | 8 | |
| 13 | 52 | |
| 14 | 194 | |
| 15 | 167 | |
| 16 | 27 | |
| 17 | 119 | |
| 18 | 89 | |
| 19 | 16 | |
| 20 | 33 |
About David J. McQuillan
David J. McQuillan is a scholar working on Cell Biology, Immunology and Allergy and Equine, having authored 59 papers that have together received 5.3k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (38 papers), Glycosylation and Glycoproteins Research (32 papers) and Cell Adhesion Molecules Research (13 papers). The work is most often cited by research in Cell Biology (2.5k citations), Immunology and Allergy (784 citations) and Rheumatology (855 citations). David J. McQuillan has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Renato V. Iozzo, Anne M. Hocking, Rick T. Owens, Tamayuki Shinomura, Inge Eichstetter, David K. Moscatello, Silvia Goldoni, Christopher J. Handley, Charles C. Reed and Hui Xu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.