C. Russo
- Immunology top 2%
- T-cell and B-cell Immunology 14
- Immune Cell Function and Interaction 12
- Immunotherapy and Immune Responses 9
- Paleontology top 2%
- Evolution and Paleontology Studies 12
- Biotechnology top 2%
- Genetics top 2%
- Genetic diversity and population structure 20
- Insect Science top 2%
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- Genomics and Phylogenetic Studies 13
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- Monoclonal and Polyclonal Antibodies Research 11
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- Fish biology, ecology, and behavior 10
- Co-authors
- M NeiNaoko TakezakiShara KabakDavid N. PosnettAntônio M. Solé‐CavaMichelle KlautauCarlos G. SchragoCristiano Lazoski
- Cited by
- ImmunologyPaleontologyBiotechnology
- Journals
- Molecular Biology and Evolution (6 papers)Cellular Immunology (4 papers)PLoS ONE (4 papers)
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
C. Russo
83 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Immunology 1.2k
- Paleontology 320
- Biotechnology 277
- Genetics 824
- Insect Science 338
Countries citing papers authored by C. Russo
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
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
The 25 scholars most cited alongside C. Russo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 13 | |
| 5 | 2016 | 3 | |
| 6 | 2016 | 27 | |
| 7 | 2015 | 59 | |
| 8 | 2015 | 30 | |
| 9 | 2014 | 124 | |
| 10 | 2009 | 94 | |
| 11 | 2009 | 122 | |
| 12 | 2008 | 7 | |
| 13 | 2007 | 112 | |
| 14 | 2004 | 12 | |
| 15 | 2001 | 68 | |
| 16 | 1996 | 230 | |
| 17 | Clonal populations of T cells in normal elderly humans: the T cell equivalent to "benign monoclonal gammapathy".breakdown → | 1994 | 661 |
| 18 | 1993 | 43 | |
| 19 | Sponge Distribution at Arraial do Cabo, SE Brazil | 1991 | 14 |
| 20 | 1986 | 14 |
About C. Russo
C. Russo is a scholar working on Paleontology, Nature and Landscape Conservation and Genetics, having authored 84 papers that have together received 4.0k indexed citations. Recurring topics across this work include Genetic diversity and population structure (20 papers), T-cell and B-cell Immunology (14 papers), Genomics and Phylogenetic Studies (13 papers), Immune Cell Function and Interaction (12 papers), Evolution and Paleontology Studies (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Fish biology, ecology, and behavior (10 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Immunology (1.2k citations), Paleontology (320 citations) and Biotechnology (277 citations). C. Russo has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent 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. Their work appears in journals such as Molecular Biology and Evolution, Cellular Immunology, PLoS ONE, The Journal of Immunology and Molecular Phylogenetics and Evolution.
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.