Joel Armstrong
Impact in
- Genetics top 10%
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
-
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
Papers in
-
- Genomics and Phylogenetic Studies 8
- RNA and protein synthesis mechanisms 2
- Genetics 8
- Genetic diversity and population structure 3
- Genome Rearrangement Algorithms 3
- Genetic Mapping and Diversity in Plants and Animals 2
- Co-authors
- Benedict Paten (10 shared papers)Ian T. Fiddes (5 shared papers)Mark Diekhans (5 shared papers)David Haussler (5 shared papers)David Gordon (2 shared papers)Evan E. Eichler (2 shared papers)Zev Kronenberg (2 shared papers)Maika Malig (1 shared paper)
- Journals
- Genome Research (5 papers)Annual Review of Animal Biosciences (1 paper)Journal of Computational Biology (1 paper)G3 Genes Genomes Genetics (1 paper)GigaScience (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Joel Armstrong
12 papers receiving 589 citations
Peers
Comparison fields: 5 of 96
- Genetics 202
- Molecular Biology 396
- Plant Science 190
- Developmental Biology 10
- Aging 5
Countries citing papers authored by Joel Armstrong
This map shows the geographic impact of Joel Armstrong'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 Joel Armstrong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Armstrong more than expected).
Fields of papers citing papers by Joel Armstrong
This network shows the impact of papers produced by Joel Armstrong. 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 Joel Armstrong. The network helps show where Joel Armstrong may publish in the future.
Co-authors
The 25 scholars most cited alongside Joel Armstrong, 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 | 2016 | 218 | |
| 2 | 2018 | 75 | |
| 3 | 2018 | 65 | |
| 4 | 2018 | 59 | |
| 5 | 2019 | 40 | |
| 6 | 2018 | 37 | |
| 7 | 2019 | 26 | |
| 8 | 2015 | 25 | |
| 9 | 2021 | 20 | |
| 10 | 2020 | 16 | |
| 11 | 2014 | 14 | |
| 12 | 2019 | 1 |
About Joel Armstrong
Joel Armstrong is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology, Evolution, Behavior and Systematics and Developmental Biology, having authored 12 papers that have together received 596 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Chromosomal and Genetic Variations (5 papers), Genetic diversity and population structure (3 papers), Genome Rearrangement Algorithms (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), RNA and protein synthesis mechanisms (2 papers), Marine animal studies overview (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Genetics (202 citations), Molecular Biology (396 citations), Plant Science (190 citations), Developmental Biology (10 citations) and Aging (5 citations). Joel Armstrong has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Benedict Paten, Ian T. Fiddes, Mark Diekhans, David Haussler, David Gordon, Evan E. Eichler, Zev Kronenberg, Maika Malig, John Huddleston and Mark Chaisson. Their work appears in journals such as Genome Research, Annual Review of Animal Biosciences, Journal of Computational Biology, G3 Genes Genomes Genetics and GigaScience.
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.