Margherita Perillo

564 total citations
18 papers, 331 citations indexed

About

Margherita Perillo is a scholar working on Molecular Biology, Aquatic Science and Surgery. According to data from OpenAlex, Margherita Perillo has authored 18 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Aquatic Science and 4 papers in Surgery. Recurrent topics in Margherita Perillo's work include Echinoderm biology and ecology (7 papers), Pancreatic function and diabetes (4 papers) and Bioactive Compounds and Antitumor Agents (2 papers). Margherita Perillo is often cited by papers focused on Echinoderm biology and ecology (7 papers), Pancreatic function and diabetes (4 papers) and Bioactive Compounds and Antitumor Agents (2 papers). Margherita Perillo collaborates with scholars based in United States, Italy and United Kingdom. Margherita Perillo's co-authors include Maria Ina Arnone, Gary M. Wessel, Rossella Annunziata, Carmen Andrikou, Maxwell Spurrell, Alison G. Cole, Pedro Martı́nez, Periklis Paganos, S. Zachary Swartz and Nathalie Oulhen and has published in prestigious journals such as Nature Communications, Development and Current Biology.

In The Last Decade

Margherita Perillo

18 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margherita Perillo United States 11 168 115 54 54 41 18 331
Carmen Andrikou Italy 11 177 1.1× 73 0.6× 61 1.1× 39 0.7× 48 1.2× 12 302
Rossella Annunziata Italy 12 252 1.5× 80 0.7× 142 2.6× 96 1.8× 28 0.7× 17 472
Joseph P. Campanale United States 13 273 1.6× 55 0.5× 29 0.5× 19 0.4× 50 1.2× 20 531
Koichi H. Kato Japan 14 237 1.4× 62 0.5× 73 1.4× 62 1.1× 46 1.1× 23 422
Gregory A. Cary United States 11 187 1.1× 108 0.9× 62 1.1× 32 0.6× 41 1.0× 19 340
Alys M. Cheatle Jarvela United States 11 244 1.5× 80 0.7× 35 0.6× 18 0.3× 31 0.8× 15 374
Brenna S. McCauley United States 10 294 1.8× 155 1.3× 88 1.6× 27 0.5× 59 1.4× 13 456
Edna C. Suárez‐Castillo Puerto Rico 6 119 0.7× 190 1.7× 16 0.3× 19 0.4× 48 1.2× 8 346
William R. Eckberg United States 15 183 1.1× 29 0.3× 43 0.8× 90 1.7× 42 1.0× 41 532
Claire Moss United Kingdom 9 66 0.4× 216 1.9× 36 0.7× 28 0.5× 62 1.5× 11 338

Countries citing papers authored by Margherita Perillo

Since Specialization
Citations

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

Fields of papers citing papers by Margherita Perillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margherita Perillo

This figure shows the co-authorship network connecting the top 25 collaborators of Margherita Perillo. A scholar is included among the top collaborators of Margherita Perillo 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 Margherita Perillo. Margherita Perillo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Clarke, D. Nathaniel, et al.. (2024). VitelloTag: a tool for high-throughput cargo delivery into oocytes. Development. 151(20). 3 indexed citations
2.
Perillo, Margherita, et al.. (2024). Sea cucumbers: an emerging system in evo-devo. EvoDevo. 15(1). 3–3. 3 indexed citations
3.
Perillo, Margherita, et al.. (2024). Larval development of Holothuria tubulosa, a new tractable system for evo-devo. Frontiers in Ecology and Evolution. 12. 1 indexed citations
4.
Perillo, Margherita, et al.. (2023). Molecular mechanisms of tubulogenesis revealed in the sea star hydro-vascular organ. Nature Communications. 14(1). 2402–2402. 16 indexed citations
5.
Oulhen, Nathalie, et al.. (2022). Optimizing CRISPR/Cas9-based gene manipulation in echinoderms. Developmental Biology. 490. 117–124. 9 indexed citations
6.
Spurrell, Maxwell, et al.. (2022). Gene regulatory divergence amongst echinoderms underlies appearance of pigment cells in sea urchin development. Developmental Biology. 494. 13–25. 7 indexed citations
7.
Perillo, Margherita, S. Zachary Swartz, & Gary M. Wessel. (2021). A conserved node in the regulation of Vasa between an induced and an inherited program of primordial germ cell specification. Developmental Biology. 482. 28–33. 9 indexed citations
8.
Swartz, S. Zachary, Tzer Han Tan, Margherita Perillo, et al.. (2021). Polarized Dishevelled dissolution and reassembly drives embryonic axis specification in sea star oocytes. Current Biology. 31(24). 5633–5641.e4. 7 indexed citations
9.
Perillo, Margherita, et al.. (2020). Regulation of dynamic pigment cell states at single-cell resolution. eLife. 9. 32 indexed citations
10.
Perillo, Margherita, Periklis Paganos, Maxwell Spurrell, Maria Ina Arnone, & Gary M. Wessel. (2020). Methodology for Whole Mount and Fluorescent RNA In Situ Hybridization in Echinoderms: Single, Double, and Beyond. Methods in molecular biology. 2219. 195–216. 24 indexed citations
11.
Annunziata, Rossella, et al.. (2019). Development and evolution of gut structures: from molecules to function. Cell and Tissue Research. 377(3). 445–458. 28 indexed citations
12.
Perillo, Margherita & Eric S. Folker. (2018). Specialized Positioning of Myonuclei Near Cell-Cell Junctions. Frontiers in Physiology. 9. 1531–1531. 16 indexed citations
13.
Perillo, Margherita, et al.. (2018). New Neuronal Subtypes With a “Pre-Pancreatic” Signature in the Sea Urchin Stongylocentrotus purpuratus. Frontiers in Endocrinology. 9. 650–650. 23 indexed citations
14.
Wood, Natalie J., Matthew L. Rowe, Margherita Perillo, et al.. (2018). Neuropeptidergic Systems in Pluteus Larvae of the Sea Urchin Strongylocentrotus purpuratus: Neurochemical Complexity in a “Simple” Nervous System. Frontiers in Endocrinology. 9. 628–628. 26 indexed citations
15.
Perillo, Margherita, Yue J. Wang, Steven D. Leach, & Maria Ina Arnone. (2016). A pancreatic exocrine-like cell regulatory circuit operating in the upper stomach of the sea urchin Strongylocentrotus purpuratus larva. BMC Evolutionary Biology. 16(1). 117–117. 25 indexed citations
16.
Perillo, Margherita & Maria Ina Arnone. (2014). Characterization of insulin-like peptides (ILPs) in the sea urchin Strongylocentrotus purpuratus: Insights on the evolution of the insulin family. General and Comparative Endocrinology. 205. 68–79. 29 indexed citations
17.
Annunziata, Rossella, Margherita Perillo, Carmen Andrikou, et al.. (2013). Pattern and process during sea urchin gut morphogenesis: The regulatory landscape. genesis. 52(3). 251–268. 59 indexed citations
18.
Merlino, Antonello, Irene Russo Krauss, Margherita Perillo, et al.. (2009). Toward an antitumor form of bovine pancreatic ribonuclease: The crystal structure of three noncovalent dimeric mutants. Biopolymers. 91(12). 1029–1037. 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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