Tânia A. Weimer

1.4k total citations
65 papers, 1.1k citations indexed

About

Tânia A. Weimer is a scholar working on Genetics, Molecular Biology and General Health Professions. According to data from OpenAlex, Tânia A. Weimer has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Genetics, 10 papers in Molecular Biology and 7 papers in General Health Professions. Recurrent topics in Tânia A. Weimer's work include Forensic and Genetic Research (22 papers), Genetic diversity and population structure (16 papers) and Genetic and phenotypic traits in livestock (10 papers). Tânia A. Weimer is often cited by papers focused on Forensic and Genetic Research (22 papers), Genetic diversity and population structure (16 papers) and Genetic and phenotypic traits in livestock (10 papers). Tânia A. Weimer collaborates with scholars based in Brazil, United States and Argentina. Tânia A. Weimer's co-authors include Francisco M. Salzano, M.H.L.P. Franco, Mara Helena Hutz, Sidia M. Callegari‐Jacques, Moacyr Antônio Mestriner, Francis L. Black, Janardan P. Pandey, José Carlos Ferrugem Moraes, María Cátira Bortolini and Marco A. Zago and has published in prestigious journals such as American Journal of Physical Anthropology, Human Genetics and Journal of Human Evolution.

In The Last Decade

Tânia A. Weimer

65 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tânia A. Weimer Brazil 22 649 204 114 113 83 65 1.1k
Henry Gershowitz United States 24 668 1.0× 243 1.2× 99 0.9× 269 2.4× 101 1.2× 55 1.5k
Amha Gebremedhin Ethiopia 15 742 1.1× 217 1.1× 86 0.8× 106 0.9× 63 0.8× 36 1.3k
Jibril Hirbo United States 15 1.2k 1.8× 429 2.1× 48 0.4× 24 0.2× 61 0.7× 30 1.9k
Alessia Ranciaro United States 13 1.2k 1.8× 463 2.3× 49 0.4× 21 0.2× 55 0.7× 22 1.9k
G.T. Nurse South Africa 18 379 0.6× 354 1.7× 177 1.6× 148 1.3× 150 1.8× 65 1.4k
B. Boettcher Australia 22 308 0.5× 258 1.3× 41 0.4× 167 1.5× 41 0.5× 96 1.4k
Thomas Nyambo United States 18 1.3k 2.0× 547 2.7× 47 0.4× 20 0.2× 59 0.7× 31 2.2k
Jean‐Michel Dugoujon France 21 703 1.1× 282 1.4× 84 0.7× 182 1.6× 17 0.2× 80 1.3k
A. Langaney France 16 435 0.7× 199 1.0× 34 0.3× 80 0.7× 23 0.3× 32 717
Shinji Harihara Japan 19 982 1.5× 457 2.2× 40 0.4× 56 0.5× 13 0.2× 47 1.6k

Countries citing papers authored by Tânia A. Weimer

Since Specialization
Citations

This map shows the geographic impact of Tânia A. Weimer'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 Tânia A. Weimer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tânia A. Weimer more than expected).

Fields of papers citing papers by Tânia A. Weimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tânia A. Weimer. 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 Tânia A. Weimer. The network helps show where Tânia A. Weimer may publish in the future.

Co-authorship network of co-authors of Tânia A. Weimer

This figure shows the co-authorship network connecting the top 25 collaborators of Tânia A. Weimer. A scholar is included among the top collaborators of Tânia A. Weimer 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 Tânia A. Weimer. Tânia A. Weimer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gonçalves, Gislene L., et al.. (2012). Identification of the e allele at the Extension locus (MC1R) in Brazilian Creole sheep and its role in wool color variation. Genetics and Molecular Research. 11(3). 2997–3006. 16 indexed citations
2.
Gonçalves, Gislene L., et al.. (2009). Mitochondrial and nuclear DNA analyses reveal population differentiation in Brazilian Creole sheep. Animal Genetics. 41(3). 308–310. 10 indexed citations
3.
Weimer, Tânia A., et al.. (2004). Genetic diversity of a brazilian Creole cattle based on fourteen microsatellite loci. Archivos de Zootecnia. 53(201). 3–11. 12 indexed citations
4.
Weimer, Tânia A., et al.. (2004). Biochemical Polymorphisms and Genetic Relationships in Rodents of the Genera Oryzomys and Oligoryzomys (Sigmodontinae) from Brazil. Biochemical Genetics. 42(9-10). 317–329. 4 indexed citations
5.
Kvitko, Kátia, et al.. (2002). High Frequency of CYP1A*2C Allele in Brazilian Populations. Human Biology. 74(2). 235–242. 10 indexed citations
6.
Goicoechea, Alicia S., Francisco R. Carnese, Cristina Beatriz Dejean, et al.. (2001). New genetic data on Amerindians from the Paraguayan Chaco. American Journal of Human Biology. 13(5). 660–667. 11 indexed citations
7.
Salzano, Francisco M., et al.. (1998). Genetic similarity and mate selection in Brazil. Ciencia e cultura. 50(4). 291–293. 1 indexed citations
8.
Salzano, Francisco M., Tânia A. Weimer, M.H.L.P. Franco, et al.. (1998). Protein genetic studies among the Tupi-Mondé Indians of the Brazilian Amazonia. American Journal of Human Biology. 10(6). 711–722. 11 indexed citations
9.
Bortolini, María Cátira, et al.. (1998). Diversity in protein, nuclear DNA, and mtDNA in South Amerinds – agreement or discrepancy?. Annals of Human Genetics. 62(2). 133–145. 12 indexed citations
10.
Santos, Sidney Emanuel Batista dos, Ândrea Ribeiro‐dos‐Santos, João Farias Guerreiro, et al.. (1998). New protein genetic studies in six Amazonian Indian populations. Annals of Human Biology. 25(6). 505–522. 9 indexed citations
11.
Callegari‐Jacques, Sidia M., Francisco M. Salzano, Tânia A. Weimer, et al.. (1996). The Wai Wai Indians of South America: history and genetics. Annals of Human Biology. 23(3). 189–201. 22 indexed citations
12.
Sans, Mónica, Roberto Toledo, Tânia A. Weimer, et al.. (1995). Blood protein genetic markers in a northeastern uruguayan population. Revista brasileira de genetica. 18(2). 317–320. 6 indexed citations
13.
Rieger, Tania T., Alfredo Langguth, & Tânia A. Weimer. (1995). Allozymic characterization and evolutionary relationships in the BrazilianAkodon cursor species group (Rodentia-Cricetidae). Biochemical Genetics. 33(9-10). 283–295. 15 indexed citations
14.
Weimer, Tânia A., et al.. (1991). Genetic aspects of Schistosoma mansoni infection severity. Revista brasileira de genetica. 14(3). 623–630. 5 indexed citations
15.
Salzano, Francisco M., Francis L. Black, Sidia M. Callegari‐Jacques, et al.. (1991). Blood genetic systems in four Amazonian tribes. American Journal of Physical Anthropology. 85(1). 51–60. 21 indexed citations
16.
Franco, M.H.L.P., et al.. (1991). Biochemical polymorphisms and phenetic relationships in rodents of the genusCtenomys from Southern Brazil. Biochemical Genetics. 29(11-12). 601–615. 15 indexed citations
17.
Rieger, Tania T., et al.. (1988). Esd, acp and glo frequencies in southern brazil, with a note on heterozygosity levels. Revista brasileira de genetica. 11(1). 155–163. 2 indexed citations
18.
Weimer, Tânia A., et al.. (1987). Occurrence of a Rare Variant of Superoxide Dismutase in Brazil. Human Heredity. 37(1). 26–29. 3 indexed citations
19.
Salzano, Francisco M., et al.. (1987). Demography, genetics, and race admixture in Aracaju, Brazil. Revista brasileira de genetica. 10(2). 313–331. 10 indexed citations
20.
Haas, Eric J., et al.. (1985). HLA Antigens and Other Genetic Markers in the Mapuche Indians of Argentina. Human Heredity. 35(5). 306–313. 24 indexed citations

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.

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