Daniel Cataldo

46 papers receiving 1.5k citations

Peers

Daniel Cataldo
Comparison fields: 5 of 65
  • Health, Toxicology and Mutagenesis 846
  • Ecology 1.2k
  • Nature and Landscape Conservation 509
  • Global and Planetary Change 476
  • Environmental Chemistry 210
Replace Donald W. Schloesser with:
Donald W. Schloesser United States
R. Dermott Canada
Don W. Schloesser United States
Н. А. Березина Russia
David L. Fanslow United States
Daniel J. Hornbach United States
Karl J. Wittmann Austria
David F. Raikow United States
S. Wijnhoven Netherlands
Alberto Rodrigues Capítulo Argentina
Daniel Cataldo relative to Donald W. Schloesser United States Donald W. Schloesser's profile →
Citations per field
00.5×6.5×
Donald W. Schloesser · 1×
Citations per year

Countries citing papers authored by Daniel Cataldo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cataldo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Cataldo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Cataldo Line = papers co-authored together Daniel Cataldo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006161
2 2005126
3 199985
4 200981
5 199879
6 200171
7 200568
8 200066
9 200760
10 201251
11 201150
12 200949
13 200746
14 200342
15 200738
16 201237
17 201837
18 200837
19 201336
20 201030

About Daniel Cataldo

Daniel Cataldo is a scholar working on Ecology, Health, Toxicology and Mutagenesis, Nature and Landscape Conservation, Global and Planetary Change and Environmental Chemistry, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Aquatic Invertebrate Ecology and Behavior (38 papers), Environmental Toxicology and Ecotoxicology (30 papers), Fish Ecology and Management Studies (18 papers), Marine Bivalve and Aquaculture Studies (10 papers), Pesticide and Herbicide Environmental Studies (5 papers), Fish biology, ecology, and behavior (5 papers), Aquatic Ecosystems and Phytoplankton Dynamics (5 papers) and Fish Biology and Ecology Studies (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (846 citations), Ecology (1.2k citations), Nature and Landscape Conservation (509 citations), Global and Planetary Change (476 citations) and Environmental Chemistry (210 citations). Daniel Cataldo has collaborated with scholars based in Argentina, United States and Canada. Frequent co-authors include Demetrio Boltovskoy, Francisco Sylvester, Nancy Correa, Esteban M. Paolucci, Jimena Dorado, Haydée Pizarro, Alicia Vinocur, Paula Sardiña, Marı́a dos Santos Afonso and Claudio Bilos. Their work appears in journals such as Hydrobiologia, Austral Ecology, Ecotoxicology and Environmental Safety, Biological Invasions and Journal of Molluscan Studies.

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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