Daniele De Corte

1.7k citations
37 papers · 1.1k indexed · h-index 19
Topics
Microbial Community Ecology and Physiology (33 papers)Genomics and Phylogenetic Studies (13 papers)Marine and coastal ecosystems (11 papers)
Partner nations
AustriaNetherlandsJapan

In The Last Decade

Daniele De Corte

37 papers receiving 1.1k citations

Peers

Daniele De Corte
Comparison fields: 5 of 75
  • Ecology 929
  • Molecular Biology 402
  • Oceanography 375
  • Environmental Chemistry 280
  • Pollution 138
Replace Markus M. Moeseneder with:
Markus M. Moeseneder Netherlands
Brian Thompson United States
Cecília Alonso Uruguay
Peter Stadler Austria
Caroline S. Fortunato United States
Carlos Pedrà s-Alià Spain
Christa B. Smith United States
Taichi Yokokawa Japan
Benjamin Tully United States
Michael Schauer Austria
Daniele De Corte relative to Markus M. Moeseneder Netherlands Markus M. Moeseneder's profile →
Citations per field
00.5×10×20×30×39.5×
Markus M. Moeseneder · 1×
Citations per year

Countries citing papers authored by Daniele De Corte

Since Specialization
Citations

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

Fields of papers citing papers by Daniele De Corte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniele De Corte. 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 Daniele De Corte. The network helps show where Daniele De Corte may publish in the future.

Co-authorship network of co-authors of Daniele De Corte

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele De Corte. A scholar is included among the top collaborators of Daniele De Corte 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 Daniele De Corte. Daniele De Corte 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
#WorkIndexed citations
1 4
2 19
3 33
4 10
5 5
6 8
7 42
8 17
9 44
10 12
11 132
12 11
13 56
14 27
15
Interaction between viruses and prokaryotes in the sea
1
16 129
17 71
18 26
19
Spatial distribution of Bacteria and Archaea and amoA gene copy numbers throughout the water column of the Eastern Mediterranean Sea
6
20 34

About Daniele De Corte

Daniele De Corte is a scholar working on Ecology, Oceanography and Environmental Chemistry, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (33 papers), Genomics and Phylogenetic Studies (13 papers) and Marine and coastal ecosystems (11 papers). The work is most often cited by research in Ecology (929 citations), Oceanography (375 citations) and Environmental Chemistry (280 citations). Daniele De Corte has collaborated with scholars based in Austria, Netherlands and Japan. Frequent co-authors include Gerhard J. Herndl, Eva Sintes, Taichi Yokokawa, Kristin Bergauer, Thomas Reinthaler, Marta M. Varela, Hélène Agogué, Itziar Lekunberri, Federico Baltar and Juan A. L. Garcia. Their work appears in journals such as Nature Communications, The Science of The Total Environment and Limnology and Oceanography.

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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