Mirko Pegoraro

1.4k total citations
23 papers, 992 citations indexed

About

Mirko Pegoraro is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Plant Science. According to data from OpenAlex, Mirko Pegoraro has authored 23 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 14 papers in Endocrine and Autonomic Systems and 9 papers in Plant Science. Recurrent topics in Mirko Pegoraro's work include Circadian rhythm and melatonin (14 papers), Neurobiology and Insect Physiology Research (14 papers) and Light effects on plants (8 papers). Mirko Pegoraro is often cited by papers focused on Circadian rhythm and melatonin (14 papers), Neurobiology and Insect Physiology Research (14 papers) and Light effects on plants (8 papers). Mirko Pegoraro collaborates with scholars based in United Kingdom, Italy and Israel. Mirko Pegoraro's co-authors include Eran Tauber, Charalambos P. Kyriacou, Rodolfo Costa, Federica Sandrelli, Ezio Rosato, Mauro Agostino Zordan, Shiv Bhutani, Edward W. Green, Stefano Montelli and Stefano Vanin and has published in prestigious journals such as Nature, Science and PLoS ONE.

In The Last Decade

Mirko Pegoraro

23 papers receiving 983 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mirko Pegoraro United Kingdom 14 488 473 262 238 234 23 992
Pamela Menegazzi Germany 16 566 1.2× 553 1.2× 199 0.8× 240 1.0× 139 0.6× 21 844
Hana Sehadová Czechia 15 585 1.2× 534 1.1× 246 0.9× 221 0.9× 89 0.4× 49 925
Eran Tauber United Kingdom 21 769 1.6× 690 1.5× 464 1.8× 378 1.6× 491 2.1× 47 1.7k
Sakiko Shiga Japan 21 999 2.0× 643 1.4× 390 1.5× 228 1.0× 238 1.0× 74 1.2k
Tomoko Ikeno United States 18 491 1.0× 543 1.1× 176 0.7× 175 0.7× 128 0.5× 24 850
Maria P. Fernandez United States 13 697 1.4× 435 0.9× 274 1.0× 173 0.7× 229 1.0× 28 941
Susan T Harbison United States 18 460 0.9× 181 0.4× 442 1.7× 87 0.4× 186 0.8× 35 1.1k
M. K. Chandrashekaran India 20 484 1.0× 649 1.4× 213 0.8× 154 0.6× 348 1.5× 62 1.1k
Michael J. Texada Denmark 21 829 1.7× 128 0.3× 316 1.2× 95 0.4× 234 1.0× 30 1.3k
Justin R. DiAngelo United States 16 449 0.9× 253 0.5× 158 0.6× 88 0.4× 71 0.3× 37 959

Countries citing papers authored by Mirko Pegoraro

Since Specialization
Citations

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

Fields of papers citing papers by Mirko Pegoraro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirko Pegoraro

This figure shows the co-authorship network connecting the top 25 collaborators of Mirko Pegoraro. A scholar is included among the top collaborators of Mirko Pegoraro 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 Mirko Pegoraro. Mirko Pegoraro 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.
Pegoraro, Mirko, et al.. (2024). A role for DNA methylation in bumblebee morphogenesis hints at female‐specific developmental erasure. Insect Molecular Biology. 33(5). 481–492. 1 indexed citations
2.
Pegoraro, Mirko, et al.. (2022). Photoperiod-Dependent Expression of MicroRNA in Drosophila. International Journal of Molecular Sciences. 23(9). 4935–4935. 6 indexed citations
3.
Pegoraro, Mirko, et al.. (2022). Nucleotide Variation in Drosophila cryptochrome Is Linked to Circadian Clock Function: An Association Analysis. Frontiers in Physiology. 13. 781380–781380. 4 indexed citations
4.
Pegoraro, Mirko & Gareth D. Weedall. (2021). Malaria in the ‘Omics Era’. Genes. 12(6). 843–843. 3 indexed citations
5.
Pegoraro, Mirko, et al.. (2019). The effects of the neonicotinoid imidacloprid on gene expression and DNA methylation in the buff-tailed bumblebee Bombus terrestris. Proceedings of the Royal Society B Biological Sciences. 286(1905). 20190718–20190718. 30 indexed citations
6.
Soriano, Carmen, Mirko Pegoraro, Ting Luo, et al.. (2018). Unlocking preservation bias in the amber insect fossil record through experimental decay. PLoS ONE. 13(4). e0195482–e0195482. 12 indexed citations
7.
Pegoraro, Mirko, et al.. (2018). Interspecific studies of circadian genes period and timeless in Drosophila. Gene. 648. 106–114. 5 indexed citations
8.
Pegoraro, Mirko, et al.. (2017). Is diapause an ancient adaptation in Drosophila ?. Journal of Insect Physiology. 98. 267–274. 33 indexed citations
9.
Pegoraro, Mirko, et al.. (2017). Geographical analysis of diapause inducibility in European Drosophila melanogaster populations. Journal of Insect Physiology. 98. 238–244. 26 indexed citations
10.
Pegoraro, Mirko, et al.. (2015). Gene Expression Associated with Early and Late Chronotypes in Drosophila melanogaster. Frontiers in Neurology. 6. 100–100. 10 indexed citations
11.
Pegoraro, Mirko, et al.. (2015). DNA methylation changes induced by long and short photoperiods inNasonia. Genome Research. 26(2). 203–210. 72 indexed citations
12.
Green, Edward W., et al.. (2014). Genetic Analysis of Drosophila Circadian Behavior in Seminatural Conditions. Methods in enzymology on CD-ROM/Methods in enzymology. 551. 121–133. 6 indexed citations
13.
Pegoraro, Mirko, João Silveira Moledo Gesto, Charalambos P. Kyriacou, & Eran Tauber. (2014). Role for Circadian Clock Genes in Seasonal Timing: Testing the Bünning Hypothesis. PLoS Genetics. 10(9). e1004603–e1004603. 51 indexed citations
14.
Pegoraro, Mirko, Shiv Bhutani, Avgi Tsolou, et al.. (2014). Molecular Evolution of a Pervasive Natural Amino-Acid Substitution in Drosophila cryptochrome. PLoS ONE. 9(1). e86483–e86483. 9 indexed citations
15.
Vanin, Stefano, Shiv Bhutani, Stefano Montelli, et al.. (2012). Unexpected features of Drosophila circadian behavioural rhythms under natural conditions. Nature. 484(7394). 371–375. 208 indexed citations
16.
Pegoraro, Mirko & Eran Tauber. (2011). Animal clocks: a multitude of molecular mechanisms for circadian timekeeping. Wiley Interdisciplinary Reviews - RNA. 2(2). 312–320. 20 indexed citations
17.
Pegoraro, Mirko & Eran Tauber. (2008). The role of microRNAs (miRNA) in circadian rhythmicity. Journal of Genetics. 87(5). 505–511. 38 indexed citations
18.
Tauber, Eran, Mauro Agostino Zordan, Federica Sandrelli, et al.. (2007). Natural Selection Favors a Newly Derived timeless Allele in Drosophila melanogaster. Science. 316(5833). 1895–1898. 224 indexed citations
19.
Sandrelli, Federica, Eran Tauber, Mirko Pegoraro, et al.. (2007). A Molecular Basis for Natural Selection at the timeless Locus in Drosophila melanogaster. Science. 316(5833). 1898–1900. 141 indexed citations
20.
Sandrelli, Federica, Silvia Cappellozza, Clara Benna, et al.. (2007). Phenotypic effects induced by knock-down of theperiodclock gene inBombyx mori. Genetics Research. 89(2). 73–84. 23 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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