Betty Diamond
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Rheumatology top 5%
- Molecular Biology
- Genetics
- Co-authors
- Matthew D. ScharffChaim PuttermanSuman Kumar RayJessica KatzCynthia AranowElahna PaulDaniel L. LustgartenA Manheimer-Lory
- Topics
- Monoclonal and Polyclonal Antibodies Research (14 papers)T-cell and B-cell Immunology (14 papers)Systemic Lupus Erythematosus Research (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Betty Diamond
19 papers receiving 951 citations
Peers
Comparison fields: 5 of 51
- Immunology 770
- Radiology, Nuclear Medicine and Imaging 558
- Rheumatology 302
- Molecular Biology 159
- Genetics 68
Countries citing papers authored by Betty Diamond
This map shows the geographic impact of Betty Diamond'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 Betty Diamond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Betty Diamond more than expected).
Fields of papers citing papers by Betty Diamond
This network shows the impact of papers produced by Betty Diamond. 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 Betty Diamond. The network helps show where Betty Diamond may publish in the future.
Co-authorship network of co-authors of Betty Diamond
This figure shows the co-authorship network connecting the top 25 collaborators of Betty Diamond. A scholar is included among the top collaborators of Betty Diamond 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 Betty Diamond. Betty Diamond is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Using peptide mimetopes to elucidate anti-polysaccharide and anti-nucleic acid humoral responses. | 2 |
| 2 | 26 | |
| 3 | 12 | |
| 4 | 28 | |
| 5 | 14 | |
| 6 | 43 | |
| 7 | 3 | |
| 8 | 34 | |
| 9 | 185 | |
| 10 | 13 | |
| 11 | 7 | |
| 12 | 11 | |
| 13 | 9 | |
| 14 | 203 | |
| 15 | 71 | |
| 16 | 21 | |
| 17 | 13 | |
| 18 | 281 | |
| 19 | Monoclonal antibodies. | 2 |
About Betty Diamond
Betty Diamond is a scholar working on Immunology, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 978 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), T-cell and B-cell Immunology (14 papers) and Systemic Lupus Erythematosus Research (10 papers). The work is most often cited by research in Immunology (770 citations), Radiology, Nuclear Medicine and Imaging (558 citations) and Rheumatology (302 citations). Betty Diamond has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Matthew D. Scharff, Chaim Putterman, Suman Kumar Ray, Jessica Katz, Cynthia Aranow, Elahna Paul, Daniel L. Lustgarten, A Manheimer-Lory, Anne Davidson and Cybele Ghossein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.