Linda M. Ayer
- Immunology top 10%
- Molecular Biology
- Oncology
- Radiology, Nuclear Medicine and Imaging top 10%
- Immunology and Allergy top 5%
- Co-authors
- Julie P. DeansHaidong LiJonathan LyttonDavid A. HanleyAndrew C. IssekutzMarvin J. FritzlerGordon H. DixonMasayuki Miyasaka
- Topics
- Cell Adhesion Molecules Research (6 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)Lipid Membrane Structure and Behavior (2 papers)
- Journals
- Journal of Biological ChemistryThe Journal of Clinical Endocrinology & MetabolismJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Linda M. Ayer
16 papers receiving 556 citations
Peers
Comparison fields: 5 of 68
- Immunology 223
- Molecular Biology 177
- Oncology 125
- Radiology, Nuclear Medicine and Imaging 121
- Immunology and Allergy 112
Countries citing papers authored by Linda M. Ayer
This map shows the geographic impact of Linda M. Ayer'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 Linda M. Ayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda M. Ayer more than expected).
Fields of papers citing papers by Linda M. Ayer
This network shows the impact of papers produced by Linda M. Ayer. 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 Linda M. Ayer. The network helps show where Linda M. Ayer may publish in the future.
Co-authorship network of co-authors of Linda M. Ayer
This figure shows the co-authorship network connecting the top 25 collaborators of Linda M. Ayer. A scholar is included among the top collaborators of Linda M. Ayer 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 Linda M. Ayer. Linda M. Ayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 55 | |
| 3 | 135 | |
| 4 | 15 | |
| 5 | 6 | |
| 6 | 36 | |
| 7 | 63 | |
| 8 | 54 | |
| 9 | 34 | |
| 10 | Antibodies to high mobility group proteins in systemic sclerosis. | 32 |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 53 | |
| 14 | 46 | |
| 15 | 10 | |
| 16 | Anticentromere antibodies: clinical and biological significance. | 5 |
About Linda M. Ayer
Linda M. Ayer is a scholar working on Immunology and Allergy, Nephrology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 569 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Immunology and Allergy (112 citations), Immunology (223 citations) and Nephrology (43 citations). Linda M. Ayer has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Julie P. Deans, Haidong Li, Jonathan Lytton, David A. Hanley, Andrew C. Issekutz, Marvin J. Fritzler, Gordon H. Dixon, Masayuki Miyasaka, Richard O. Hynes and Barry A. Wolitzky. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Journal of Pharmacology and Experimental Therapeutics.
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.