Daniel Carrizo

3.6k citations
100 papers · 2.7k · h-index 32

Impact in

Papers in

Daniel Carrizo

92 papers receiving 2.6k citations

Peers

Daniel Carrizo
Comparison fields: 5 of 152
  • Health, Toxicology and Mutagenesis 925
  • Pollution 476
  • Industrial and Manufacturing Engineering 250
  • Environmental Chemistry 212
  • Ecology 360
Replace Peter G. Green with:
Peter G. Green United States
Peter Richter Germany
John T. G. Hamilton United Kingdom
Gary L. Mills United States
J. J. Ortega Calvo Spain
Yanfeng Zhang China
Rob J. M. van Spanning Netherlands
Reinhard Bachofen Switzerland
B. Z. Siegel United States
Brian E. McCarry Canada
Daniel Carrizo relative to Peter G. Green United States Peter G. Green's profile →
Citations per field
00.5×1.5×1.8×
Peter G. Green · 1×
Citations per year

Countries citing papers authored by Daniel Carrizo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Carrizo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Carrizo, 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 Carrizo Line = papers co-authored together Daniel Carrizo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015242
2 2006158
3 2005110
4 2016106
5 2019100
6 200689
7 200783
8 200773
9 201572
10 200671
11 201862
12 200662
13 201658
14 200858
15 201648
16 202044
17 202042
18 201941
19 201341
20 201640

About Daniel Carrizo

Daniel Carrizo is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Ecology, Astronomy and Astrophysics and Molecular Biology, having authored 100 papers that have together received 2.7k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (23 papers), Geology and Paleoclimatology Research (20 papers), Planetary Science and Exploration (19 papers), Microbial Community Ecology and Physiology (12 papers), Methane Hydrates and Related Phenomena (11 papers), Effects and risks of endocrine disrupting chemicals (11 papers), Paleontology and Stratigraphy of Fossils (10 papers) and Air Quality and Health Impacts (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (925 citations), Pollution (476 citations), Industrial and Manufacturing Engineering (250 citations), Environmental Chemistry (212 citations) and Ecology (360 citations). Daniel Carrizo has collaborated with scholars based in Spain, United States and Sweden. Frequent co-authors include Joan O. Grimalt, Jordi Sunyer, Núria Ribas‐Fitó, Cristina Nerı́n, Maties Torrent, Margarita Aznar, Laura Sánchez‐García, Örjan Gustafsson, Jordi Júlvez and Vı́ctor Parro. Their work appears in journals such as Astrobiology, Scientific Reports, The Science of The Total Environment, Environmental Science & Technology and Frontiers in Microbiology.

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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