Cláudio M. Bravi

8.7k total citations
72 papers, 2.1k citations indexed

About

Cláudio M. Bravi is a scholar working on Genetics, Molecular Biology and Archeology. According to data from OpenAlex, Cláudio M. Bravi has authored 72 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Genetics, 21 papers in Molecular Biology and 12 papers in Archeology. Recurrent topics in Cláudio M. Bravi's work include Forensic and Genetic Research (46 papers), Genetic diversity and population structure (21 papers) and Forensic Anthropology and Bioarchaeology Studies (12 papers). Cláudio M. Bravi is often cited by papers focused on Forensic and Genetic Research (46 papers), Genetic diversity and population structure (21 papers) and Forensic Anthropology and Bioarchaeology Studies (12 papers). Cláudio M. Bravi collaborates with scholars based in Argentina, United States and Spain. Cláudio M. Bravi's co-authors include Graciela Bailliet, N. O. Bianchi, Hans‐Jürgen Bandelt, Antonio Salas, Yong‐Gang Yao, Verónica L. Martínez‐Marignac, Francisco Rothhammer, Michael D. Coble, José Edgardo Dipierri and Josefina M. B. Motti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Cláudio M. Bravi

64 papers receiving 2.0k citations

Peers

Cláudio M. Bravi
Himla Soodyall South Africa
Cláudio M. Bravi
Citations per year, relative to Cláudio M. Bravi Cláudio M. Bravi (= 1×) peers Himla Soodyall

Countries citing papers authored by Cláudio M. Bravi

Since Specialization
Citations

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

Fields of papers citing papers by Cláudio M. Bravi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cláudio M. Bravi. 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 Cláudio M. Bravi. The network helps show where Cláudio M. Bravi may publish in the future.

Co-authorship network of co-authors of Cláudio M. Bravi

This figure shows the co-authorship network connecting the top 25 collaborators of Cláudio M. Bravi. A scholar is included among the top collaborators of Cláudio M. Bravi 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 Cláudio M. Bravi. Cláudio M. Bravi 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.
D’Amato, María Eugenia, et al.. (2025). Persistence of Ancestral KhoeSan Mitochondrial Patterns in Contemporary South African Populations. Annals of Human Genetics. 89(4). 195–207.
2.
Basso, Néstor G., et al.. (2024). Los ancestros del fin del mundo: primeras perspectivas sobre la diversidad mitocondrial en la provincia de Tierra del Fuego, Argentina. Revista Argentina de Antropología Biológica. 26(1). 71–71. 1 indexed citations
3.
Motti, Josefina M. B., Cristina Bayón, Darío Alfredo Demarchi, et al.. (2023). Ancient mitogenomes from the Southern Pampas of Argentina reflect local differentiation and limited extra‐regional linkages after rapid initial colonization. American Journal of Biological Anthropology. 181(2). 216–230. 3 indexed citations
4.
Bravi, Cláudio M., et al.. (2021). Uniparental origins of the admixed Argentine Patagonia. American Journal of Human Biology. 34(4). e23682–e23682. 7 indexed citations
5.
Bailliet, Graciela, et al.. (2018). Genetic variation in populations from central Argentina based on mitochondrial and Y chromosome DNA evidence. Journal of Human Genetics. 63(4). 493–507. 18 indexed citations
6.
Motti, Josefina M. B., Marina Muzzio, Virgínia Ramallo, et al.. (2013). Origen y distribución espacial de linajes maternos nativos en el noroeste y centro oeste argentinos. Revista Argentina de Antropología Biológica. 15(1). 3–14. 6 indexed citations
7.
Ramallo, Virgínia, Rafael Bisso‐Machado, Cláudio M. Bravi, et al.. (2013). Demographic expansions in South America: Enlightening a complex scenario with genetic and linguistic data. American Journal of Physical Anthropology. 150(3). 453–463. 34 indexed citations
8.
Motti, Josefina M. B., Marina Muzzio, Virgínia Ramallo, et al.. (2012). Origen y distribución espacial de linajes maternos nativos en el noroeste y centro oeste argentinos/ Origin and spatial distribution of native maternal lineages in Northwest and Center West of Argentina. SHILAP Revista de lepidopterología.
9.
Dipierri, José Edgardo, Emma Alfaro, Graciela Bailliet, et al.. (2011). Estructura genético-isonímica del noroeste Argentino. 22(2). 4–16. 4 indexed citations
10.
Bravi, Cláudio M., et al.. (2010). Distribución de haplogrupos mitocondriales alóctonos en poblaciones rurales de Córdoba y San Luis. Revista Argentina de Antropología Biológica. 12(1). 47–55. 6 indexed citations
11.
Muzzio, Marina, J. C. Muzzio, Cláudio M. Bravi, & Graciela Bailliet. (2010). Technical note: A method for assignment of the weight of characters. American Journal of Physical Anthropology. 143(3). 488–492. 11 indexed citations
12.
Ramallo, Virgínia, Juan M. Mucci, Marina Muzzio, et al.. (2009). Comparison of Y-chromosome haplogroup frequencies in eight Provinces of Argentina. Forensic science international. Genetics supplement series. 2(1). 431–432. 7 indexed citations
13.
Motti, Josefina M. B., et al.. (2009). Tipificación de haplogrupos mitocondriales mediante multiplex PCR-AFLP. El Servicio de Difusión de la Creación Intelectual (National University of La Plata).
14.
Motti, Josefina M. B., Marina Muzzio, Virgínia Ramallo, et al.. (2009). No es lo que parece: sitios diagnóstico revertantes en el ADN mitocondrial. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 1 indexed citations
15.
Marrero, Andrea Rita, Wilson A. Silva, Cláudio M. Bravi, et al.. (2006). Demographic and evolutionary trajectories of the Guarani and Kaingang natives of Brazil. American Journal of Physical Anthropology. 132(2). 301–310. 65 indexed citations
16.
Torres, María Mercedes, Cláudio M. Bravi, María Cátira Bortolini, et al.. (2005). A revertant of the major founder Native American haplogroup C common in populations from northern South America. American Journal of Human Biology. 18(1). 59–65. 31 indexed citations
17.
Bravi, Cláudio M., Juan Pedro Lirón, Patricia M. Mirol, et al.. (2004). A simple method for domestic animal identification in Argentina using PCR-RFLP analysis of cytochrome b gene. Legal Medicine. 6(4). 246–251. 40 indexed citations
18.
Bianchi, N. O., Cecilia Inés Catanesi, Graciela Bailliet, et al.. (1998). Characterization of Ancestral and Derived Y-Chromosome Haplotypes of New World Native Populations. The American Journal of Human Genetics. 63(6). 1862–1871. 134 indexed citations
19.
Bianchi, N. O., Graciela Bailliet, Cláudio M. Bravi, et al.. (1997). Origin of Amerindian Y-chromosomes as inferred by the analysis of six polymorphic markers. American Journal of Physical Anthropology. 102(1). 79–89. 70 indexed citations
20.
Bianchi, N. O., Graciela Bailliet, & Cláudio M. Bravi. (1995). Peopling of the Americas as inferred through the analysis of mitochondrial DNA. Revista brasileira de genetica. 18(4). 661–668. 26 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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