Alex R. DeCasien
- Developmental Biology top 5%
- Animal Vocal Communication and Behavior 2
- Social Psychology top 5%
- Primate Behavior and Ecology 11
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- Animal Behavior and Reproduction 6
- Bat Biology and Ecology Studies 3
- Paleontology top 10%
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- Single-cell and spatial transcriptomics 2
- Bioinformatics and Genomic Networks 2
- CRISPR and Genetic Engineering 2
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- Child and Animal Learning Development 2
- Co-authors
- James P. HighamScott A. WilliamsRobert A. BartonNicole Thompson GonzálezMilena R. ShattuckMichael J. MontagueJakob SeidlitzDaizaburo Shizuka
- Journals
- Trends in Cognitive Sciences (1 paper)Scientific Reports (1 paper)Philosophical Transactions of the Royal Society B Biological Sciences (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Alex R. DeCasien
17 papers receiving 492 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Developmental Biology 66
- Social Psychology 287
- Ecology, Evolution, Behavior and Systematics 186
- Paleontology 43
- Cognitive Neuroscience 103
Countries citing papers authored by Alex R. DeCasien
This map shows the geographic impact of Alex R. DeCasien'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 Alex R. DeCasien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex R. DeCasien more than expected).
Fields of papers citing papers by Alex R. DeCasien
This network shows the impact of papers produced by Alex R. DeCasien. 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 Alex R. DeCasien. The network helps show where Alex R. DeCasien may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alex R. DeCasien, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 13 | |
| 5 | 2023 | 16 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 23 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 0 | |
| 16 | 2019 | 66 | |
| 17 | 2018 | 20 | |
| 18 | Primate brain size is predicted by diet but not socialitybreakdown → | 2017 | 281 |
About Alex R. DeCasien
Alex R. DeCasien is a scholar working on Developmental Biology, Social Psychology and Ecology, Evolution, Behavior and Systematics, having authored 18 papers that have together received 496 indexed citations. Recurring topics across this work include Primate Behavior and Ecology (11 papers), Animal Behavior and Reproduction (6 papers), Bat Biology and Ecology Studies (3 papers), Single-cell and spatial transcriptomics (2 papers), Bioinformatics and Genomic Networks (2 papers), Animal Vocal Communication and Behavior (2 papers), CRISPR and Genetic Engineering (2 papers) and Child and Animal Learning Development (2 papers). The work is most often cited by research in Developmental Biology (66 citations), Social Psychology (287 citations) and Ecology, Evolution, Behavior and Systematics (186 citations). Alex R. DeCasien has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include James P. Higham, Scott A. Williams, Robert A. Barton, Nicole Thompson González, Milena R. Shattuck, Michael J. Montague, Jakob Seidlitz, Daizaburo Shizuka, Mareike C. Janiak and Daniel H. Geschwind. Their work appears in journals such as Trends in Cognitive Sciences, Scientific Reports and Philosophical Transactions of the Royal Society B Biological 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.