C. Russo

5.6k total citations · 2 hit papers
84 papers, 4.0k citations indexed

About

C. Russo is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, C. Russo has authored 84 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 25 papers in Molecular Biology and 18 papers in Ecology. Recurrent topics in C. Russo's work include Genetic diversity and population structure (20 papers), T-cell and B-cell Immunology (14 papers) and Genomics and Phylogenetic Studies (13 papers). C. Russo is often cited by papers focused on Genetic diversity and population structure (20 papers), T-cell and B-cell Immunology (14 papers) and Genomics and Phylogenetic Studies (13 papers). C. Russo collaborates with scholars based in Brazil, United States and United Kingdom. C. Russo's co-authors include M Nei, Naoko Takezaki, Shara Kabak, David N. Posnett, Antônio M. Solé‐Cava, Michelle Klautau, Carlos G. Schrago, Cristiano Lazoski, Nicole Boury‐Esnault and Soldano Ferrone and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

C. Russo

83 papers receiving 3.9k citations

Hit Papers

Clonal populations of T cells in normal elderly humans: t... 1994 2026 2004 2015 1994 1995 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Russo Brazil 30 1.2k 1.1k 824 658 491 84 4.0k
Christopher Blair United States 19 526 0.4× 1.0k 0.9× 896 1.1× 480 0.7× 421 0.9× 48 3.6k
Jürgen Schmitz Germany 45 1.5k 1.3× 2.7k 2.4× 1.2k 1.5× 586 0.9× 1.6k 3.2× 105 5.7k
M. J. D. White Australia 27 866 0.7× 1.6k 1.5× 1.6k 1.9× 426 0.6× 934 1.9× 69 4.5k
Kazuho Ikeo Japan 45 648 0.5× 4.5k 4.2× 1.1k 1.4× 573 0.9× 1.2k 2.5× 171 7.2k
Brigitte Crouau‐Roy France 26 456 0.4× 550 0.5× 719 0.9× 428 0.7× 222 0.5× 85 2.1k
Federico Abascal Spain 23 336 0.3× 3.2k 2.9× 836 1.0× 795 1.2× 920 1.9× 37 5.3k
Elizabeth A. Thompson United States 25 1.2k 1.0× 1.6k 1.5× 3.1k 3.7× 1.1k 1.7× 347 0.7× 48 6.0k
Jennifer K. Grenier United States 26 578 0.5× 4.1k 3.7× 860 1.0× 221 0.3× 331 0.7× 65 6.1k
Naoya Yuhki United States 29 926 0.8× 1.2k 1.1× 1.1k 1.4× 555 0.8× 214 0.4× 51 3.4k
Francesco Nardi Italy 39 279 0.2× 1.3k 1.2× 966 1.2× 594 0.9× 508 1.0× 175 6.1k

Countries citing papers authored by C. Russo

Since Specialization
Citations

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

Fields of papers citing papers by C. Russo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Russo. 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 C. Russo. The network helps show where C. Russo may publish in the future.

Co-authorship network of co-authors of C. Russo

This figure shows the co-authorship network connecting the top 25 collaborators of C. Russo. A scholar is included among the top collaborators of C. Russo 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 C. Russo. C. Russo 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.
Mermudes, José Ricardo Miras, et al.. (2024). Performance of tree-building methods using a morphological dataset and a well-supported Hexapoda phylogeny. PeerJ. 12. e16706–e16706. 5 indexed citations
2.
Mermudes, José Ricardo Miras, et al.. (2024). Autapomorphies and the retention index: Solving a limit via l’Hôpital-Bernoulli’s rule. Zoologia (Curitiba). 41.
3.
Moreira, Filipe Romero Rebello, et al.. (2023). Phylogenomics reconciles molecular data with the rich fossil record on the origin of living turtles. Molecular Phylogenetics and Evolution. 183. 107773–107773. 3 indexed citations
4.
Mayr, Gérald, et al.. (2022). Southern hemisphere tectonics in the Cenozoic shaped the pantropical distribution of parrots and passerines. Journal of Biogeography. 49(10). 1753–1766. 13 indexed citations
5.
Russo, C. & Antônio M. Solé‐Cava. (2016). High levels of gene variation and the population structure of Bunodosoma caissarum (Cnidaria: Actiniidae). Revista de Biología Tropical. 39(1). 41–46. 3 indexed citations
7.
Gonzaga, Luíz Pedreira, et al.. (2015). A Paleogene origin for crown passerines and the diversification of the Oscines in the New World. Molecular Phylogenetics and Evolution. 88. 1–15. 59 indexed citations
8.
Silva, Hélio Ricardo, et al.. (2015). The Gondwana Breakup and the History of the Atlantic and Indian Oceans Unveils Two New Clades for Early Neobatrachian Diversification. PLoS ONE. 10(11). e0143926–e0143926. 30 indexed citations
9.
Justi, Silvia A., C. Russo, Jacenir Reis dos Santos Mallet, Marcos Takashi Obara, & Cléber Galvão. (2014). Molecular phylogeny of Triatomini (Hemiptera: Reduviidae: Triatominae). Parasites & Vectors. 7(1). 149–149. 124 indexed citations
10.
Perini, Fernando A., C. Russo, & Carlos G. Schrago. (2009). The evolution of South American endemic canids: a history of rapid diversification and morphological parallelism. Journal of Evolutionary Biology. 23(2). 311–322. 94 indexed citations
11.
Romanel, Elisson, Carlos G. Schrago, Rafael M. Couñago, C. Russo, & Márcio Alves‐Ferreira. (2009). Evolution of the B3 DNA Binding Superfamily: New Insights into REM Family Gene Diversification. PLoS ONE. 4(6). e5791–e5791. 122 indexed citations
12.
Schrago, Carlos G., et al.. (2008). A molecular study on the evolution of a subtype B variant frequently found in Brazil. Genetics and Molecular Research. 7(4). 1031–1044. 7 indexed citations
13.
Russo, C., et al.. (2007). An empirical test of the midpoint rooting method. Biological Journal of the Linnean Society. 92(4). 669–674. 112 indexed citations
14.
Schrago, Carlos G., Esmeralda A. Soares, Alcides Pissinatti, et al.. (2004). CCR5 chemokine receptor gene evolution in New World monkeys (Platyrrhini, Primates): implication on resistance to lentiviruses. Infection Genetics and Evolution. 5(3). 271–280. 12 indexed citations
15.
Lazoski, Cristiano, Antônio M. Solé‐Cava, Nicole Boury‐Esnault, Michelle Klautau, & C. Russo. (2001). Cryptic speciation in a high gene flow scenario in the oviparous marine sponge Chondrosia reniformis. Marine Biology. 139(3). 421–429. 68 indexed citations
16.
Russo, C., Naoko Takezaki, & M Nei. (1996). Efficiencies of different genes and different tree-building methods in recovering a known vertebrate phylogeny. Molecular Biology and Evolution. 13(3). 525–536. 230 indexed citations
17.
Posnett, David N., et al.. (1994). Clonal populations of T cells in normal elderly humans: the T cell equivalent to "benign monoclonal gammapathy".. The Journal of Experimental Medicine. 179(2). 609–618. 661 indexed citations breakdown →
18.
Ehleiter, Desiree, A Ben-Yehuda, R. Schwab, et al.. (1993). Effect of age on the expressed B cell repertoire: role of B cell subsets. International Immunology. 5(9). 1035–1039. 43 indexed citations
19.
Muricy, Guilherme Ramos da Silva, Eduardo Hajdu, Márcio Reis Custódio, et al.. (1991). Sponge Distribution at Arraial do Cabo, SE Brazil. 1183–1196. 14 indexed citations
20.
Kennedy, David W., et al.. (1986). T cell proliferation induced by anti-self-I-A-specific T cell hybridomas. Evidence of a T cell network.. The Journal of Experimental Medicine. 164(2). 490–500. 14 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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