Daniel T. Baldassarre
- Developmental Biology top 5%
- Animal Vocal Communication and Behavior 5
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- Animal Behavior and Reproduction 15
- Plant and animal studies 10
- Ecological Modeling top 10%
- Species Distribution and Climate Change 3
- Ecology top 10%
- Avian ecology and behavior 6
- Wildlife Ecology and Conservation 6
- Genetics top 10%
- Genetic diversity and population structure 3
- Genetic and phenotypic traits in livestock 2
- Co-authors
- Michael S. WebsterJordan KarubianThomas A. WhiteJ. Albert C. UyEmma I. GreigJohn E. McCormackHenri A. ThomassenJaime A. Chaves
- Journals
- The American Naturalist (1 paper)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)Evolution (2 papers)
- Partner nations
- United StatesGermanyEcuador
In The Last Decade
Daniel T. Baldassarre
20 papers receiving 443 citations
Peers
Comparison fields: 5 of 50
- Developmental Biology 76
- Ecology, Evolution, Behavior and Systematics 248
- Ecological Modeling 33
- Ecology 182
- Genetics 192
Countries citing papers authored by Daniel T. Baldassarre
This map shows the geographic impact of Daniel T. Baldassarre'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. Baldassarre 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. Baldassarre more than expected).
Fields of papers citing papers by Daniel T. Baldassarre
This network shows the impact of papers produced by Daniel T. Baldassarre. 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. Baldassarre. The network helps show where Daniel T. Baldassarre may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel T. Baldassarre, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 3 | |
| 8 | 2019 | 10 | |
| 9 | 2019 | 6 | |
| 10 | 2019 | 17 | |
| 11 | 2018 | 6 | |
| 12 | 2018 | 61 | |
| 13 | 2016 | 20 | |
| 14 | 2016 | 7 | |
| 15 | 2015 | 63 | |
| 16 | 2015 | 22 | |
| 17 | 2015 | 27 | |
| 18 | 2013 | 51 | |
| 19 | 2013 | 16 | |
| 20 | 2010 | 28 |
About Daniel T. Baldassarre
Daniel T. Baldassarre is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecological Modeling, having authored 21 papers that have together received 455 indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (15 papers), Plant and animal studies (10 papers), Avian ecology and behavior (6 papers), Wildlife Ecology and Conservation (6 papers), Animal Vocal Communication and Behavior (5 papers), Species Distribution and Climate Change (3 papers), Genetic diversity and population structure (3 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Developmental Biology (76 citations), Ecology, Evolution, Behavior and Systematics (248 citations) and Ecological Modeling (33 citations). Daniel T. Baldassarre has collaborated with scholars based in United States, Germany and Ecuador. Frequent co-authors include Michael S. Webster, Jordan Karubian, Thomas A. White, J. Albert C. Uy, Emma I. Greig, John E. McCormack, Henri A. Thomassen, Jaime A. Chaves, Hubert Schwabl and Manfred Gahr. Their work appears in journals such as The American Naturalist, Philosophical Transactions of the Royal Society B Biological Sciences 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.