Richard A. Miller
- Molecular Biology top 0.5%
- Physiology top 0.1%
- Aging top 0.01%
- Immunology top 0.5%
- Epidemiology top 1%
- Co-authors
- Kevin FlurkeyRandy StrongNancy L. NadonJames M. HarperJames F. NelsonMartin A. JavorsJohn E. WilkinsonClinton M. Astle
- Topics
- Genetics, Aging, and Longevity in Model Organisms (102 papers)T-cell and B-cell Immunology (58 papers)Adipose Tissue and Metabolism (56 papers)
- Partner nations
- United StatesCanadaRussia
In The Last Decade
Richard A. Miller
370 papers receiving 20.8k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Molecular Biology 7.3k
- Physiology 6.4k
- Aging 6.3k
- Immunology 3.5k
- Epidemiology 2.0k
Countries citing papers authored by Richard A. Miller
This map shows the geographic impact of Richard A. Miller'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 Richard A. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard A. Miller more than expected).
Fields of papers citing papers by Richard A. Miller
This network shows the impact of papers produced by Richard A. Miller. 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 Richard A. Miller. The network helps show where Richard A. Miller may publish in the future.
Co-authorship network of co-authors of Richard A. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Richard A. Miller. A scholar is included among the top collaborators of Richard A. Miller 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 Richard A. Miller. Richard A. Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 16 | |
| 4 | 30 | |
| 5 | 14 | |
| 6 | 6 | |
| 7 | 28 | |
| 8 | 94 | |
| 9 | 54 | |
| 10 | 12 | |
| 11 | 430 | |
| 12 | From Helix to Hologram | 2 |
| 13 | 81 | |
| 14 | Rapamycin, But Not Resveratrol or Simvastatin, Extends Life Span of Genetically Heterogeneous Micebreakdown → | 686 |
| 15 | 126 | |
| 16 | In pursuit of the longevity dividend | 66 |
| 17 | Genetic: Approaches to the study of aging in mammals | 1 |
| 18 | Thromboembolism after foot and ankle surgery. A multicenter study. | 97 |
| 19 | Orthopaedic knowledge update : foot and ankle 2 | 51 |
| 20 | 47 |
About Richard A. Miller
Richard A. Miller is a scholar working on Aging, Endocrine and Autonomic Systems and Immunology, having authored 378 papers that have together received 21.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (102 papers), T-cell and B-cell Immunology (58 papers) and Adipose Tissue and Metabolism (56 papers). The work is most often cited by research in Aging (6.3k citations), Endocrine and Autonomic Systems (1.9k citations) and Physiology (6.4k citations). Richard A. Miller has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Kevin Flurkey, Randy Strong, Nancy L. Nadon, James M. Harper, James F. Nelson, Martin A. Javors, John E. Wilkinson, Clinton M. Astle, Elizabeth Fernández and Gonzalo G. Garcia. Their work appears in journals such as Nature, Science and Cell.
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.