Alexander T. Xue
- Genetics top 10%
- Ecological Modeling top 5%
- Nature and Landscape Conservation top 10%
- Ecology
- Global and Planetary Change top 10%
- Co-authors
- Michael J. HickersonDiego F. Alvarado‐SerranoIvan PratesJason L. BrownAna Carolina CarnavalMiguel Tréfaut RodriguesAndré Oliveira SawakuchiGregory Thom
- Topics
- Genetic diversity and population structure (6 papers)Species Distribution and Climate Change (4 papers)Genomics and Phylogenetic Studies (4 papers)
- Journals
- Proceedings of the National Academy of SciencesEvolutionProceedings of the Royal Society B Biological Sciences
- Partner nations
- United StatesMexicoBrazil
In The Last Decade
Alexander T. Xue
11 papers receiving 415 citations
Peers
Comparison fields: 5 of 46
- Genetics 241
- Ecological Modeling 129
- Nature and Landscape Conservation 117
- Ecology 115
- Global and Planetary Change 105
Countries citing papers authored by Alexander T. Xue
This map shows the geographic impact of Alexander T. Xue'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 Alexander T. Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander T. Xue more than expected).
Fields of papers citing papers by Alexander T. Xue
This network shows the impact of papers produced by Alexander T. Xue. 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 Alexander T. Xue. The network helps show where Alexander T. Xue may publish in the future.
Co-authorship network of co-authors of Alexander T. Xue
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander T. Xue. A scholar is included among the top collaborators of Alexander T. Xue based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexander T. Xue. Alexander T. Xue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 65 | |
| 4 | 37 | |
| 5 | 48 | |
| 6 | 17 | |
| 7 | 39 | |
| 8 | 27 | |
| 9 | 35 | |
| 10 | 85 | |
| 11 | 19 | |
| 12 | 37 |
About Alexander T. Xue
Alexander T. Xue is a scholar working on Ecological Modeling, Genetics and Nature and Landscape Conservation, having authored 12 papers that have together received 418 indexed citations. Recurring topics across this work include Genetic diversity and population structure (6 papers), Species Distribution and Climate Change (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Ecological Modeling (129 citations), Nature and Landscape Conservation (117 citations) and Genetics (241 citations). Alexander T. Xue has collaborated with scholars based in United States, Mexico and Brazil. Frequent co-authors include Michael J. Hickerson, Diego F. Alvarado‐Serrano, Ivan Prates, Jason L. Brown, Ana Carolina Carnaval, Miguel Tréfaut Rodrigues, André Oliveira Sawakuchi, Gregory Thom, Cristina Yumi Miyaki and Alexandre Luis Padovan Aleixo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Evolution and Proceedings 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.