Taiana Haag
- Ecology top 10%
- Genetics
- Ecological Modeling top 10%
- Social Psychology
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Eduardo EizirikFrancisco M. SalzanoCarlos De AngeloDênis A. SanaRonaldo Gonçalves MoratoLaury CullenMario S. Di BitettiPeter G. Crawshaw
- Topics
- Genetic diversity and population structure (8 papers)Wildlife Ecology and Conservation (7 papers)Genetic and phenotypic traits in livestock (4 papers)
- Cited by
- Ecological ModelingEcologyGenetics
In The Last Decade
Taiana Haag
14 papers receiving 346 citations
Peers
Comparison fields: 5 of 53
- Ecology 268
- Genetics 162
- Ecological Modeling 55
- Social Psychology 43
- Ecology, Evolution, Behavior and Systematics 36
Countries citing papers authored by Taiana Haag
This map shows the geographic impact of Taiana Haag'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 Taiana Haag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taiana Haag more than expected).
Fields of papers citing papers by Taiana Haag
This network shows the impact of papers produced by Taiana Haag. 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 Taiana Haag. The network helps show where Taiana Haag may publish in the future.
Co-authorship network of co-authors of Taiana Haag
This figure shows the co-authorship network connecting the top 25 collaborators of Taiana Haag. A scholar is included among the top collaborators of Taiana Haag 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 Taiana Haag. Taiana Haag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 1 | |
| 3 | 19 | |
| 4 | 8 | |
| 5 | 13 | |
| 6 | 26 | |
| 7 | 20 | |
| 8 | 160 | |
| 9 | 44 | |
| 10 | Genética da conservação e ecologia molecular de onças-pintadas (Panthera onca, Felidae) | 1 |
| 11 | 5 | |
| 12 | 23 | |
| 13 | Chromosomal characterization of Brazilian species of Calomys Waterhouse, 1837 from Amazon, Cerrado and Pampas domains (Rodentia, Sigmodontinae) | 10 |
| 14 | KARYOTYPES OF BRAZILIAN REPRESENTATIVES OF GENUS Zygodontomys (RODENTIA, SIGMODONTINAE) | 4 |
About Taiana Haag
Taiana Haag is a scholar working on Paleontology, Ecology and Genetics, having authored 14 papers that have together received 354 indexed citations. Recurring topics across this work include Genetic diversity and population structure (8 papers), Wildlife Ecology and Conservation (7 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Ecological Modeling (55 citations), Ecology (268 citations) and Genetics (162 citations). Taiana Haag has collaborated with scholars based in Brazil, Argentina and Sweden. Frequent co-authors include Eduardo Eizirik, Francisco M. Salzano, Carlos De Angelo, Dênis A. Sana, Ronaldo Gonçalves Morato, Laury Cullen, Mario S. Di Bitetti, Peter G. Crawshaw, Ana Carolina Srbek‐Araujo and Margarete S. Mattevi. Their work appears in journals such as Molecular Ecology, Biological Conservation and Deep Sea Research Part I Oceanographic Research Papers.
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.