Justin Thackeray
Impact in
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- Neurobiology and Insect Physiology Research
Papers in
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- RNA and protein synthesis mechanisms 3
- Developmental Biology and Gene Regulation 3
- Protein Kinase Regulation and GTPase Signaling 2
- Ubiquitin and proteasome pathways 2
- Machine Learning in Bioinformatics 1
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- Hippo pathway signaling and YAP/TAZ 4
- Co-authors
- Barry Ganetzky (1 shared paper)Charalambos P. Kyriacou (2 shared papers)Peter Gaines (2 shared papers)John R. Carlson (2 shared papers)Alexandre A. Peixoto (1 shared paper)Rodolfo Costa (1 shared paper)Raymond Dalgleish (1 shared paper)Paul R. Ebert (1 shared paper)
- Journals
- Genetics (3 papers)Journal of Molecular Evolution (2 papers)Animal Behaviour (1 paper)Gene (1 paper)Molecular Biology and Evolution (1 paper)
- Partner nations
- United StatesUnited KingdomMexico
In The Last Decade
Justin Thackeray
11 papers receiving 297 citations
Peers
Comparison fields: 5 of 51
- Aging 14
- Cellular and Molecular Neuroscience 111
- Endocrine and Autonomic Systems 41
- Insect Science 44
- Ecology, Evolution, Behavior and Systematics 59
Countries citing papers authored by Justin Thackeray
This map shows the geographic impact of Justin Thackeray'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 Justin Thackeray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Thackeray more than expected).
Fields of papers citing papers by Justin Thackeray
This network shows the impact of papers produced by Justin Thackeray. 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 Justin Thackeray. The network helps show where Justin Thackeray may publish in the future.
Co-authors
The 20 scholars most cited alongside Justin Thackeray, 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 | 1991 | 60 | |
| 2 | 1995 | 59 | |
| 3 | 1998 | 44 | |
| 4 | 1990 | 38 | |
| 5 | 1999 | 37 | |
| 6 | 1986 | 26 | |
| 7 | 2011 | 12 | |
| 8 | 1999 | 9 | |
| 9 | 2003 | 7 | |
| 10 | 2003 | 5 | |
| 11 | 2003 | 3 | |
| 12 | 2021 | 0 |
About Justin Thackeray
Justin Thackeray is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Ecology and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 300 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (4 papers), RNA and protein synthesis mechanisms (3 papers), Developmental Biology and Gene Regulation (3 papers), Neurobiology and Insect Physiology Research (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Ubiquitin and proteasome pathways (2 papers), interferon and immune responses (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Aging (14 citations), Cellular and Molecular Neuroscience (111 citations), Endocrine and Autonomic Systems (41 citations), Insect Science (44 citations) and Ecology, Evolution, Behavior and Systematics (59 citations). Justin Thackeray has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Barry Ganetzky, Charalambos P. Kyriacou, Peter Gaines, John R. Carlson, Alexandre A. Peixoto, Rodolfo Costa, Raymond Dalgleish, Paul R. Ebert, Stephen Harris and Mark L. Weiss. Their work appears in journals such as Genetics, Journal of Molecular Evolution, Animal Behaviour, Gene and Molecular Biology and Evolution.
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.