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 France. 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.
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
4.
Russo, C. & Thiago André. (2019). Science and evolution. Genetics and Molecular Biology. 42(1). 120–124. 5 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
6.
Russo, C., et al.. (2016). When Chinese Masks Meet Phylogenetics. The American Biology Teacher. 78(3). 241–247. 1 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.
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
10.
Reinert, Fernanda, C. Russo, & Leandro O. Salles. (2003). The evolution of CAM in the subfamily Pitcairnioideae (Bromeliaceae). Biological Journal of the Linnean Society. 80(2). 261–268. 15 indexed citations
11.
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
12.
Klautau, Michelle, C. Russo, Cristiano Lazoski, et al.. (1999). Does Cosmopolitanism Result from Overconservative Systematics? A Case Study Using the Marine Sponge Chondrilla nucula. Evolution. 53(5). 1414–1414. 76 indexed citations
13.
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 →
14.
Tavares, Célia Regina Granhen, C. Russo, & Geraldo L. Sant’Anna. (1994). Aerobic treatment of wastewaters in a three‐phase fluidized‐bed bioreactor: A comparison of two types of polymeric supports. Environmental Technology. 15(7). 687–693. 9 indexed citations
15.
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
16.
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
17.
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
18.
Russo, C., Michele Pellegrino, & Soldano Ferrone. (1984). Analysis of the repertoire of anti-HLA antibodies with anti-idiotypes to a murine anti-HLA-A2,A28 monoclonal antibody. Human Immunology. 10(1). 57–67. 5 indexed citations
19.
Russo, C., Neal Flomenberg, Bo Dupont, & Soldano Ferrone. (1984). Reactivity patterns with HLA-A2 variants indicate lack of identity between determinants defined by monoclonal antibodies and cytotoxic-T-cell clones. Cellular Immunology. 88(1). 228–232. 3 indexed citations
20.
Medronho, Ricardo de Andrade & C. Russo. (1983). Influence of temperature on the kinetic parameters of the activated sludge process. Environmental Technology Letters. 4(1). 1–8. 18 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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