RA Daynes
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Aging top 10%
Papers in
-
- T-cell and B-cell Immunology 2
- Immunotherapy and Immune Responses 2
- Immune Cell Function and Interaction 1
-
- Hormonal and reproductive studies 3
- Co-authors
- Michael Diegel (2 shared papers)Barbara A. Araneo (1 shared paper)W H Sun (1 shared paper)Richard Weindruch (1 shared paper)Neil Binkley (1 shared paper)Stefan Gravenstein (1 shared paper)Ellen B. Roecker (1 shared paper)William B. Ershler (1 shared paper)
- Journals
- Blood (2 papers)The Journal of Experimental Medicine (1 paper)Endocrinology (1 paper)PubMed (4 papers)
- Partner nations
- United States
In The Last Decade
RA Daynes
8 papers receiving 562 citations
Peers
Comparison fields: 5 of 85
- Behavioral Neuroscience 62
- Aging 25
- Biological Psychiatry 32
- Immunology 183
- Endocrinology, Diabetes and Metabolism 103
Countries citing papers authored by RA Daynes
This map shows the geographic impact of RA Daynes'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 RA Daynes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites RA Daynes more than expected).
Fields of papers citing papers by RA Daynes
This network shows the impact of papers produced by RA Daynes. 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 RA Daynes. The network helps show where RA Daynes may publish in the future.
Co-authors
The 9 scholars most cited alongside RA Daynes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Interleukin-6 and aging: blood levels and mononuclear cell production increase with advancing age and in vitro production is modifiable by dietary restriction. | 1993 | 260 |
| 2 | 1991 | 214 | |
| 3 | 1995 | 64 | |
| 4 | 1991 | 18 | |
| 5 | 1981 | 15 | |
| 6 | Cross-reactive transplantation antigens between UV-irradiated skin and UV-induced tumors. | 1984 | 8 |
| 7 | The immunobiology of ultraviolet-radiation carcinogenesis. | 1985 | 7 |
| 8 | Experimental ultraviolet radiation carcinogenesis: I. Relationship of the major histocompatibility complex to tumor latency and immunogenecity. | 1984 | 3 |
About RA Daynes
RA Daynes is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism, Genetics, Dermatology and Oncology, having authored 8 papers that have together received 589 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (3 papers), Estrogen and related hormone effects (2 papers), T-cell and B-cell Immunology (2 papers), Immunotherapy and Immune Responses (2 papers), Skin Protection and Aging (2 papers), CAR-T cell therapy research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Behavioral Neuroscience (62 citations), Aging (25 citations), Biological Psychiatry (32 citations), Immunology (183 citations) and Endocrinology, Diabetes and Metabolism (103 citations). RA Daynes has collaborated with scholars based in United States. Frequent co-authors include Michael Diegel, Barbara A. Araneo, W H Sun, Richard Weindruch, Neil Binkley, Stefan Gravenstein, Ellen B. Roecker, William B. Ershler and Martin Schmitt. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Endocrinology and PubMed.
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.