Frank J. Dixon
- Immunology top 0.05%
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Molecular Biology top 1%
- Rheumatology top 0.05%
- Nephrology top 0.05%
- Co-authors
- Argyrios N. TheofilopoulosPatricia J. McConaheyCurtis B. WilsonMichael B. A. OldstoneEmil R. UnanueShozo IzuiRobert A. EisenbergRichard A. Lerner
- Topics
- Monoclonal and Polyclonal Antibodies Research (84 papers)T-cell and B-cell Immunology (66 papers)Renal Diseases and Glomerulopathies (45 papers)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Frank J. Dixon
325 papers receiving 21.4k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Immunology 12.4k
- Radiology, Nuclear Medicine and Imaging 6.4k
- Molecular Biology 5.2k
- Rheumatology 4.7k
- Nephrology 3.3k
Countries citing papers authored by Frank J. Dixon
This map shows the geographic impact of Frank J. Dixon'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 Frank J. Dixon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank J. Dixon more than expected).
Fields of papers citing papers by Frank J. Dixon
This network shows the impact of papers produced by Frank J. Dixon. 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 Frank J. Dixon. The network helps show where Frank J. Dixon may publish in the future.
Co-authorship network of co-authors of Frank J. Dixon
This figure shows the co-authorship network connecting the top 25 collaborators of Frank J. Dixon. A scholar is included among the top collaborators of Frank J. Dixon 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 Frank J. Dixon. Frank J. Dixon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 95 | |
| 3 | 4 | |
| 4 | 159 | |
| 5 | 94 | |
| 6 | 40 | |
| 7 | 120 | |
| 8 | Patterns of immune reactivity in autoimmune murine strains. I. Cell-mediated immune responses induced by H-2 indentical and H-2 incompatible stimulator cells. | 32 |
| 9 | Spontaneous murine lupus-like syndromes. Clinical and immunopathological manifestations in several strains.breakdown → | 1385 |
| 10 | Increased survival times of New Zealand hybrid mice immunosuppressed by graft-versus-host reactions. | 25 |
| 11 | 149 | |
| 12 | 110 | |
| 13 | 52 | |
| 14 | 148 | |
| 15 | 79 | |
| 16 | 61 | |
| 17 | 12 | |
| 18 | 14 | |
| 19 | 25 | |
| 20 | 155 |
About Frank J. Dixon
Frank J. Dixon is a scholar working on Immunology, Nephrology and Immunology and Allergy, having authored 329 papers that have together received 25.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (84 papers), T-cell and B-cell Immunology (66 papers) and Renal Diseases and Glomerulopathies (45 papers). The work is most often cited by research in Immunology (12.4k citations), Nephrology (3.3k citations) and Immunology and Allergy (2.1k citations). Frank J. Dixon has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Argyrios N. Theofilopoulos, Patricia J. McConahey, Curtis B. Wilson, Michael B. A. Oldstone, Emil R. Unanue, Shozo Izui, Robert A. Eisenberg, Richard A. Lerner, Richard J. Glassock and Jacinto J. Vazquez. Their work appears in journals such as Nature, Science and New England Journal of 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.