Aram Comjean
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology top 10%
- Invertebrate Immune Response Mechanisms
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
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- Neurobiology and Insect Physiology Research 6
- Co-authors
- Norbert Perrimon (24 shared papers)Yanhui Hu (23 shared papers)Stephanie Elizabeth Mohr (15 shared papers)Yifang Liu (9 shared papers)Sudhir Gopal Tattikota (5 shared papers)Fangge Li (4 shared papers)Shannan Ho Sui (3 shared papers)Ruei‐Jiun Hung (3 shared papers)
- Journals
- Nucleic Acids Research (5 papers)G3 Genes Genomes Genetics (4 papers)Genetics (2 papers)eLife (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Aram Comjean
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Aging 105
- Immunology 315
- Insect Science 182
- Cellular and Molecular Neuroscience 238
- Molecular Biology 589
Countries citing papers authored by Aram Comjean
This map shows the geographic impact of Aram Comjean'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 Aram Comjean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aram Comjean more than expected).
Fields of papers citing papers by Aram Comjean
This network shows the impact of papers produced by Aram Comjean. 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 Aram Comjean. The network helps show where Aram Comjean may publish in the future.
Co-authors
The 25 scholars most cited alongside Aram Comjean, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 176 | |
| 2 | 2017 | 162 | |
| 3 | 2020 | 133 | |
| 4 | 2020 | 77 | |
| 5 | 2017 | 62 | |
| 6 | 2015 | 56 | |
| 7 | 2021 | 53 | |
| 8 | 2020 | 46 | |
| 9 | 2023 | 42 | |
| 10 | 2016 | 38 | |
| 11 | 2017 | 38 | |
| 12 | 2022 | 32 | |
| 13 | 2023 | 31 | |
| 14 | 2017 | 28 | |
| 15 | 2021 | 26 | |
| 16 | 2020 | 26 | |
| 17 | 2021 | 25 | |
| 18 | 2019 | 19 | |
| 19 | 2017 | 17 | |
| 20 | 2020 | 11 |
About Aram Comjean
Aram Comjean is a scholar working on Aging, Cellular and Molecular Neuroscience, Molecular Biology, Immunology and Genetics, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (6 papers), Neurobiology and Insect Physiology Research (6 papers), Bioinformatics and Genomic Networks (6 papers), Genomics and Phylogenetic Studies (5 papers), CRISPR and Genetic Engineering (4 papers), Gene expression and cancer classification (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Aging (105 citations), Immunology (315 citations), Insect Science (182 citations), Cellular and Molecular Neuroscience (238 citations) and Molecular Biology (589 citations). Aram Comjean has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Norbert Perrimon, Yanhui Hu, Stephanie Elizabeth Mohr, Yifang Liu, Sudhir Gopal Tattikota, Fangge Li, Shannan Ho Sui, Ruei‐Jiun Hung, Wei Roc Song and Rory D. Kirchner. Their work appears in journals such as Nucleic Acids Research, G3 Genes Genomes Genetics, Genetics, eLife and Proceedings of the National Academy of Sciences.
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.