Paola Oliveri

9.7k total citations
57 papers, 3.1k citations indexed

About

Paola Oliveri is a scholar working on Molecular Biology, Aquatic Science and Oceanography. According to data from OpenAlex, Paola Oliveri has authored 57 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 18 papers in Aquatic Science and 12 papers in Oceanography. Recurrent topics in Paola Oliveri's work include Developmental Biology and Gene Regulation (23 papers), Echinoderm biology and ecology (18 papers) and Marine Biology and Environmental Chemistry (11 papers). Paola Oliveri is often cited by papers focused on Developmental Biology and Gene Regulation (23 papers), Echinoderm biology and ecology (18 papers) and Marine Biology and Environmental Chemistry (11 papers). Paola Oliveri collaborates with scholars based in United Kingdom, United States and Italy. Paola Oliveri's co-authors include Eric H. Davidson, Qiang Tu, David R. McClay, Feng Gao, Chia-Wei Li, Junyuan Chen, Stephen Q. Dornbos, David J. Bottjer, C. Titus Brown and Anna Czarkwiani and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Paola Oliveri

56 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paola Oliveri United Kingdom 31 1.6k 834 603 598 571 57 3.1k
Christopher J. Lowe United States 36 2.4k 1.5× 648 0.8× 803 1.3× 579 1.0× 1.1k 1.9× 74 4.3k
Hiroshi Wada Japan 33 2.4k 1.5× 436 0.5× 375 0.6× 500 0.8× 1.2k 2.1× 125 4.1k
Charles A. Ettensohn United States 40 2.3k 1.4× 1.4k 1.7× 176 0.3× 733 1.2× 836 1.5× 82 4.0k
Billie J. Swalla United States 38 2.1k 1.3× 410 0.5× 663 1.1× 866 1.4× 2.2k 3.8× 96 4.4k
Kazuo Inaba Japan 38 2.4k 1.4× 341 0.4× 268 0.4× 377 0.6× 919 1.6× 157 5.0k
Pedro Martı́nez Spain 42 3.0k 1.8× 453 0.5× 677 1.1× 491 0.8× 829 1.5× 119 6.1k
Frederick W. Harrison United States 18 821 0.5× 299 0.4× 560 0.9× 771 1.3× 676 1.2× 57 3.3k
Elizabeth C. Raff United States 38 2.9k 1.8× 152 0.2× 577 1.0× 442 0.7× 265 0.5× 72 4.7k
Michael C. Thorndyke United Kingdom 32 937 0.6× 1.2k 1.4× 240 0.4× 1.8k 3.0× 1.9k 3.4× 117 4.5k
Michel Vervoort France 29 3.1k 1.9× 107 0.1× 482 0.8× 186 0.3× 591 1.0× 58 4.1k

Countries citing papers authored by Paola Oliveri

Since Specialization
Citations

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

Fields of papers citing papers by Paola Oliveri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Oliveri

This figure shows the co-authorship network connecting the top 25 collaborators of Paola Oliveri. A scholar is included among the top collaborators of Paola Oliveri 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 Paola Oliveri. Paola Oliveri 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.
Mukherjee, Arnab, Jiřı́ Damborský, Zbyněk Prokop, et al.. (2025). Functional Characterization of Luciferase in a Brittle Star Indicates Parallel Evolution Influenced by Genomic Availability of Haloalkane Dehalogenase. Molecular Biology and Evolution. 42(5). 1 indexed citations
2.
Parey, Elise, Olga Ortega‐Martinez, Jérôme Delroisse, et al.. (2024). The brittle star genome illuminates the genetic basis of animal appendage regeneration. Nature Ecology & Evolution. 8(8). 1505–1521. 10 indexed citations
3.
Paganos, Periklis, et al.. (2023). Molecular and Cellular Characterization of the TH Pathway in the Sea Urchin Strongylocentrotus purpuratus. Cells. 12(2). 272–272. 3 indexed citations
4.
Czarkwiani, Anna, Jack A. Taylor, & Paola Oliveri. (2022). Neurogenesis during Brittle Star Arm Regeneration Is Characterised by a Conserved Set of Key Developmental Genes. Biology. 11(9). 1360–1360. 4 indexed citations
5.
Thompson, Jeffrey R., et al.. (2021). The Development and Neuronal Complexity of Bipinnaria Larvae of the Sea Star Asterias rubens. Integrative and Comparative Biology. 61(2). 337–351. 7 indexed citations
6.
7.
Thompson, Jeffrey R., Periklis Paganos, Giovanna Benvenuto, Maria Ina Arnone, & Paola Oliveri. (2021). Post-metamorphic skeletal growth in the sea urchin Paracentrotus lividus and implications for body plan evolution. EvoDevo. 12(1). 3–3. 22 indexed citations
8.
Czarkwiani, Anna, et al.. (2021). Ultrastructural and molecular analysis of the origin and differentiation of cells mediating brittle star skeletal regeneration. BMC Biology. 19(1). 9–9. 22 indexed citations
9.
Dylus, David, Anna Czarkwiani, Liisa M. Blowes, Maurice R. Elphick, & Paola Oliveri. (2018). Developmental transcriptomics of the brittle star Amphiura filiformis reveals gene regulatory network rewiring in echinoderm larval skeleton evolution. Genome biology. 19(1). 26–26. 27 indexed citations
10.
Pauls, Stefan, et al.. (2015). Evolution of lineage-specific functions in ancient cis -regulatory modules. Open Biology. 5(11). 150079–150079. 4 indexed citations
11.
Oliveri, Paola, Antonio Emidio Fortunato, Tomoko Ishikawa‐Fujiwara, et al.. (2014). The Cryptochrome/Photolyase Family in aquatic organisms. Marine Genomics. 14. 23–37. 66 indexed citations
12.
Telford, Maximilian J., Christopher J. Lowe, Christopher B. Cameron, et al.. (2014). Phylogenomic analysis of echinoderm class relationships supports Asterozoa. Proceedings of the Royal Society B Biological Sciences. 281(1786). 20140479–20140479. 105 indexed citations
13.
Czarkwiani, Anna, David Dylus, & Paola Oliveri. (2013). Expression of skeletogenic genes during arm regeneration in the brittle star Amphiura filiformis. Gene Expression Patterns. 13(8). 464–472. 41 indexed citations
14.
Oliveri, Paola, Qiang Tu, & Eric H. Davidson. (2008). Global regulatory logic for specification of an embryonic cell lineage. Proceedings of the National Academy of Sciences. 105(16). 5955–5962. 300 indexed citations
15.
Birditt, Brian, et al.. (2008). Direct multiplexed measurement of gene expression with color-coded probe pairs (vol 26, pg 317, 2008). UCL Discovery (University College London). 2 indexed citations
16.
Tu, Qiang, C. Titus Brown, Eric H. Davidson, & Paola Oliveri. (2006). Sea urchin Forkhead gene family: Phylogeny and embryonic expression. Developmental Biology. 300(1). 49–62. 176 indexed citations
17.
Takacs, Carter M., Gabriele Amore, Paola Oliveri, et al.. (2004). Expression of an NK2 homeodomain gene in the apical ectoderm defines a new territory in the early sea urchin embryo. Developmental Biology. 269(1). 152–164. 44 indexed citations
18.
Oliveri, Paola, Eric H. Davidson, & David R. McClay. (2003). Activation of pmar1 controls specification of micromeres in the sea urchin embryo. Developmental Biology. 258(1). 32–43. 116 indexed citations
19.
20.
Russo, Roberta, et al.. (1994). Expression of homeobox-containing genes in the sea urchin (Parancentrotus lividus) embryo. Genetica. 94(2-3). 141–150. 17 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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