Darla R. Miller
- Genetics top 2%
- Genetic Mapping and Diversity in Plants and Animals 19
- Genetic and phenotypic traits in livestock 8
- Animal Genetics and Reproduction 6
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3
- Genetic Associations and Epidemiology 3
- Aging top 5%
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals 19
- Genetic and phenotypic traits in livestock 8
- Animal Genetics and Reproduction 6
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3
- Genetic Associations and Epidemiology 3
- Immunology top 10%
- interferon and immune responses 4
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics 4
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- Adipose Tissue and Metabolism 5
- Co-authors
- David W. ThreadgillGary A. ChurchillVerne M. ChapmanArthur T. BergerudHaley ButlerM. J. LacombeKirk D. WuepperFernando Pardo‐Manuel de Villena
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Darla R. Miller
60 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 122
- Genetics 804
- Aging 40
- Genetics 186
- Immunology 296
- Molecular Biology 949
Countries citing papers authored by Darla R. Miller
This map shows the geographic impact of Darla R. 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 Darla R. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darla R. Miller more than expected).
Fields of papers citing papers by Darla R. Miller
This network shows the impact of papers produced by Darla R. 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 Darla R. Miller. The network helps show where Darla R. Miller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Darla R. Miller, 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 | 2024 | 1 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 5 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 18 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 2 | |
| 9 | 2019 | 7 | |
| 10 | 2018 | 6 | |
| 11 | 2018 | 35 | |
| 12 | 2017 | 15 | |
| 13 | 2016 | 37 | |
| 14 | 2014 | 58 | |
| 15 | 2013 | 66 | |
| 16 | 2011 | 156 | |
| 17 | 2008 | 208 | |
| 18 | 2007 | 18 | |
| 19 | 2005 | 6 | |
| 20 | 2001 | 23 |
About Darla R. Miller
Darla R. Miller is a scholar working on Genetics, Aging and Immunology and Allergy, having authored 61 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (19 papers), Genetic and phenotypic traits in livestock (8 papers), Animal Genetics and Reproduction (6 papers), Adipose Tissue and Metabolism (5 papers), interferon and immune responses (4 papers), Genomics and Chromatin Dynamics (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Genetics (804 citations), Aging (40 citations) and Genetics (186 citations). Darla R. Miller has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include David W. Threadgill, Gary A. Churchill, Verne M. Chapman, Arthur T. Bergerud, Haley Butler, M. J. Lacombe, Kirk D. Wuepper, Fernando Pardo‐Manuel de Villena, Don Armstrong and C. Thomas Caskey. Their work appears in journals such as Mammalian Genome, G3 Genes Genomes Genetics, Genetics, Journal of Allergy and Clinical Immunology and Journal of Clinical Investigation.
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.