Elena Mosca

677 total citations
16 papers, 443 citations indexed

About

Elena Mosca is a scholar working on Genetics, Nature and Landscape Conservation and Plant Science. According to data from OpenAlex, Elena Mosca has authored 16 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Nature and Landscape Conservation and 6 papers in Plant Science. Recurrent topics in Elena Mosca's work include Genetic and phenotypic traits in livestock (7 papers), Genetic diversity and population structure (7 papers) and Forest ecology and management (4 papers). Elena Mosca is often cited by papers focused on Genetic and phenotypic traits in livestock (7 papers), Genetic diversity and population structure (7 papers) and Forest ecology and management (4 papers). Elena Mosca collaborates with scholars based in Italy, United States and France. Elena Mosca's co-authors include David B. Neale, Nicola La Porta, Lucio Montecchio, Santiago C. González‐Martínez, Erica A. Di Pierro, Andrew J. Eckert, Jean Garbaye, Linda Scattolin, Duccio Rocchini and Giovanni G. Vendramin and has published in prestigious journals such as PLoS ONE, New Phytologist and Soil Biology and Biochemistry.

In The Last Decade

Elena Mosca

16 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elena Mosca Italy 13 216 160 145 94 86 16 443
Charalambos Neophytou Austria 12 175 0.8× 129 0.8× 155 1.1× 69 0.7× 72 0.8× 19 416
Aikaterini Dounavi Germany 13 194 0.9× 173 1.1× 187 1.3× 61 0.6× 116 1.3× 20 488
Mario Zabal‐Aguirre Spain 12 136 0.6× 186 1.2× 98 0.7× 103 1.1× 123 1.4× 16 454
Katharina B. Budde Germany 14 234 1.1× 123 0.8× 168 1.2× 44 0.5× 140 1.6× 34 520
Julie Godbout Canada 11 198 0.9× 96 0.6× 102 0.7× 88 0.9× 114 1.3× 17 446
Diana Krajmerová Slovakia 13 130 0.6× 180 1.1× 176 1.2× 38 0.4× 76 0.9× 34 422
Markus Müller Germany 13 136 0.6× 165 1.0× 139 1.0× 42 0.4× 47 0.5× 39 422
Wilfried Steiner Germany 9 87 0.4× 143 0.9× 110 0.8× 85 0.9× 103 1.2× 20 352
Barbara Fussi Germany 14 218 1.0× 202 1.3× 188 1.3× 67 0.7× 125 1.5× 48 570
Eyen Khoo Malaysia 13 131 0.6× 134 0.8× 203 1.4× 61 0.6× 167 1.9× 23 465

Countries citing papers authored by Elena Mosca

Since Specialization
Citations

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

Fields of papers citing papers by Elena Mosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Mosca

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

All Works

16 of 16 papers shown
1.
Mosca, Elena, Christine Pirker, Markus Schosserer, et al.. (2024). The tyrosine kinase inhibitor Nintedanib induces lysosomal dysfunctionality: Role of protonation-dependent crystallization processes. Chemico-Biological Interactions. 403. 111243–111243. 1 indexed citations
2.
Mosca, Elena, et al.. (2023). Prognostic Relevance and In Vitro Targeting of Concomitant PTEN and p16 Deficiency in Chordomas. Cancers. 15(7). 1977–1977. 4 indexed citations
3.
Mosca, Elena, et al.. (2017). Combined effects of thinning and decline on fine root dynamics in a Quercus robur L. forest adjoining the Italian Pre-Alps. Annals of Botany. 119(7). 1235–1246. 13 indexed citations
4.
Mosca, Elena, Erica A. Di Pierro, Katharina B. Budde, David B. Neale, & Santiago C. González‐Martínez. (2017). Environmental effects on fine‐scale spatial genetic structure in four Alpine keystone forest tree species. Molecular Ecology. 27(3). 647–658. 13 indexed citations
5.
Pierro, Erica A. Di, Elena Mosca, Santiago C. González‐Martínez, et al.. (2017). Adaptive variation in natural Alpine populations of Norway spruce (Picea abies [L.] Karst) at regional scale: Landscape features and altitudinal gradient effects. Forest Ecology and Management. 405. 350–359. 26 indexed citations
6.
Budde, Katharina B., Santiago C. González‐Martínez, Miguel Navascués, et al.. (2017). Increased fire frequency promotes stronger spatial genetic structure and natural selection at regional and local scales in Pinus halepensis Mill. Annals of Botany. 119(6). 1061–1072. 27 indexed citations
7.
Pierro, Erica A. Di, Elena Mosca, Duccio Rocchini, et al.. (2016). Climate-related adaptive genetic variation and population structure in natural stands of Norway spruce in the South-Eastern Alps. Tree Genetics & Genomes. 12(2). 25 indexed citations
8.
Mosca, Elena, Félix Gugerli, Andrew J. Eckert, & David B. Neale. (2016). Signatures of natural selection on Pinus cembra and P. mugo along elevational gradients in the Alps. Tree Genetics & Genomes. 12(1). 26 indexed citations
9.
Mosca, Elena, Erica A. Di Pierro, Michela Troggio, et al.. (2014). Micro- and Macro-Geographic Scale Effect on the Molecular Imprint of Selection and Adaptation in Norway Spruce. PLoS ONE. 9(12). e115499–e115499. 24 indexed citations
10.
Mosca, Elena, Santiago C. González‐Martínez, & David B. Neale. (2013). Environmental versus geographical determinants of genetic structure in two subalpine conifers. New Phytologist. 201(1). 180–192. 49 indexed citations
11.
Neale, David B., Elena Mosca, & Erica A. Di Pierro. (2013). Alpine forest genomics network (AForGeN): a report of the first annual meeting. Tree Genetics & Genomes. 9(3). 879–881. 1 indexed citations
12.
Mosca, Elena, Andrew J. Eckert, John D Liechty, et al.. (2012). Contrasting patterns of nucleotide diversity for four conifers of Alpine European forests. Evolutionary Applications. 5(7). 762–775. 45 indexed citations
13.
Mosca, Elena, Andrew J. Eckert, Erica A. Di Pierro, et al.. (2012). The geographical and environmental determinants of genetic diversity for four alpine conifers of the European Alps. Molecular Ecology. 21(22). 5530–5545. 82 indexed citations
14.
Scattolin, Linda, Lucio Montecchio, Elena Mosca, & Reinhard Agerer. (2008). Vertical distribution of the ectomycorrhizal community in the top soil of Norway spruce stands. European Journal of Forest Research. 127(5). 347–357. 29 indexed citations
15.
Mosca, Elena, Lucio Montecchio, Linda Scattolin, & Jean Garbaye. (2007). Enzymatic activities of three ectomycorrhizal types of Quercus robur L. in relation to tree decline and thinning. Soil Biology and Biochemistry. 39(11). 2897–2904. 44 indexed citations
16.
Mosca, Elena, Lucio Montecchio, Luca Sella, & Jean Garbaye. (2007). Short-term effect of removing tree competition on the ectomycorrhizal status of a declining pedunculate oak forest (Quercus robur L.). Forest Ecology and Management. 244(1-3). 129–140. 34 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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