Daniel T. Babcock
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms 2
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- Neurobiology and Insect Physiology Research 12
- Neuroscience and Neuropharmacology Research 2
- Genetic Neurodegenerative Diseases 2
- Insect Science top 5%
- Sensory Systems top 10%
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- Invertebrate Immune Response Mechanisms 5
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- Cholinesterase and Neurodegenerative Diseases 2
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- Insect and Arachnid Ecology and Behavior 2
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- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Michael J. GalkoBarry GanetzkyChristian R. LandryJu-Yeon JoMark A. KrasnowYan WangLaurent PerrinHoward B. Gutstein
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Current Biology (2 papers)Genetics (3 papers)
- Partner nations
- United StatesFrance
In The Last Decade
Daniel T. Babcock
19 papers receiving 628 citations
Peers
Comparison fields: 5 of 68
- Aging 40
- Cellular and Molecular Neuroscience 414
- Insect Science 176
- Sensory Systems 37
- Immunology 159
Countries citing papers authored by Daniel T. Babcock
This map shows the geographic impact of Daniel T. Babcock'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 Daniel T. Babcock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Babcock more than expected).
Fields of papers citing papers by Daniel T. Babcock
This network shows the impact of papers produced by Daniel T. Babcock. 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 Daniel T. Babcock. The network helps show where Daniel T. Babcock may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Daniel T. Babcock, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 7 | |
| 7 | 2020 | 6 | |
| 8 | 2018 | 13 | |
| 9 | 2017 | 19 | |
| 10 | 2015 | 7 | |
| 11 | 2015 | 98 | |
| 12 | 2015 | 54 | |
| 13 | 2014 | 17 | |
| 14 | 2014 | 36 | |
| 15 | 2014 | 1 | |
| 16 | 2011 | 89 | |
| 17 | 2009 | 7 | |
| 18 | 2009 | 119 | |
| 19 | 2008 | 141 | |
| 20 | 2008 | 12 |
About Daniel T. Babcock
Daniel T. Babcock is a scholar working on Aging, Cellular and Molecular Neuroscience and Sensory Systems, having authored 20 papers that have together received 637 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (12 papers), Invertebrate Immune Response Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Aging (40 citations), Cellular and Molecular Neuroscience (414 citations) and Insect Science (176 citations). Daniel T. Babcock has collaborated with scholars based in United States and France. Frequent co-authors include Michael J. Galko, Barry Ganetzky, Christian R. Landry, Ju-Yeon Jo, Mark A. Krasnow, Yan Wang, Laurent Perrin, Howard B. Gutstein, Michael H. Shaw and Shanping Shi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Current Biology and Genetics.
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.