Katharine C. Abruzzi
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 3
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin 14
-
- Neurobiology and Insect Physiology Research 15
- Molecular Biology top 10%
- RNA Research and Splicing 11
- RNA and protein synthesis mechanisms 5
- Fungal and yeast genetics research 4
- Plant Science top 5%
- Light effects on plants 4
- Plant Molecular Biology Research 4
- Co-authors
- Michael RosbashJoseph RodriguezJérôme S. MenetWeifei LuoScott A. LacadieMichael T. MarrYevgenia L. KhodorFang Guo
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Katharine C. Abruzzi
31 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Aging 243
- Endocrine and Autonomic Systems 838
- Cellular and Molecular Neuroscience 700
- Molecular Biology 959
- Plant Science 474
Countries citing papers authored by Katharine C. Abruzzi
This map shows the geographic impact of Katharine C. Abruzzi'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 Katharine C. Abruzzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katharine C. Abruzzi more than expected).
Fields of papers citing papers by Katharine C. Abruzzi
This network shows the impact of papers produced by Katharine C. Abruzzi. 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 Katharine C. Abruzzi. The network helps show where Katharine C. Abruzzi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Katharine C. Abruzzi, 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 | 2025 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 13 | |
| 4 | 2023 | 11 | |
| 5 | 2021 | 79 | |
| 6 | 2017 | 22 | |
| 7 | 2017 | 98 | |
| 8 | Circadian neuron feedback controls the Drosophila sleep–activity profilebreakdown → | 2016 | 208 |
| 9 | 2014 | 60 | |
| 10 | 2014 | 22 | |
| 11 | 2013 | 68 | |
| 12 | 2012 | 34 | |
| 13 | 2011 | 194 | |
| 14 | 2011 | 30 | |
| 15 | 2010 | 110 | |
| 16 | 2009 | 94 | |
| 17 | 2007 | 49 | |
| 18 | 2007 | 48 | |
| 19 | 2006 | 12 | |
| 20 | 2004 | 138 |
About Katharine C. Abruzzi
Katharine C. Abruzzi is a scholar working on Endocrine and Autonomic Systems, Aging and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (15 papers), Circadian rhythm and melatonin (14 papers), RNA Research and Splicing (11 papers), RNA and protein synthesis mechanisms (5 papers), Light effects on plants (4 papers), Plant Molecular Biology Research (4 papers), Fungal and yeast genetics research (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (243 citations), Endocrine and Autonomic Systems (838 citations) and Cellular and Molecular Neuroscience (700 citations). Katharine C. Abruzzi has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Michael Rosbash, Joseph Rodriguez, Jérôme S. Menet, Weifei Luo, Scott A. Lacadie, Michael T. Marr, Yevgenia L. Khodor, Fang Guo, Chih-Hang Anthony Tang and Leslie C. Griffith. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.