Antonio Cambria

40 papers receiving 1.0k citations

Peers

Antonio Cambria
Comparison fields: 5 of 101
  • Biotechnology 117
  • Cellular and Molecular Neuroscience 210
  • Electrochemistry 47
  • Physical and Theoretical Chemistry 65
  • Pharmacology 116
Replace Ken Fujimori with:
Ken Fujimori Japan
Dmitri O. Levitsky France
Min Zhao China
Christopher J. Cooksey United Kingdom
A. Scott Hinman Canada
Ting‐Guo Kang China
Patrick M. Kelley United States
Maria Teresa Cambria Italy
Giovanna Misuraca Italy
Toshiki Masumizu Japan
Antonio Cambria relative to Ken Fujimori Japan Ken Fujimori's profile →
Citations per field
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Citations per year

Countries citing papers authored by Antonio Cambria

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Cambria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000223
2 1989154
3 200474
4 198966
5 200057
6 201051
7 200838
8 201030
9 199530
10 200227
11 200427
12 200125
13 198725
14 201223
15 200122
16 200119
17
Biomembrane and receptor mechanisms
198719
18 200418
19 200013
20
Effects of pinealectomy on the in vivo and in vitro biosynthesis of nucleic acids and on the mitotic rate in some organs of the rat.
196913

About Antonio Cambria

Antonio Cambria is a scholar working on Molecular Biology, Organic Chemistry, Plant Science, Biotechnology and Physiology, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (6 papers), Microbial Metabolism and Applications (4 papers), Mitochondrial Function and Pathology (4 papers), Lipid Membrane Structure and Behavior (4 papers), Electrochemical sensors and biosensors (3 papers), Environmental Toxicology and Ecotoxicology (3 papers), Receptor Mechanisms and Signaling (3 papers) and Metal-Catalyzed Oxygenation Mechanisms (3 papers). The work is most often cited by research in Biotechnology (117 citations), Cellular and Molecular Neuroscience (210 citations), Electrochemistry (47 citations), Physical and Theoretical Chemistry (65 citations) and Pharmacology (116 citations). Antonio Cambria has collaborated with scholars based in Italy, United States and Greece. Frequent co-authors include Maria Teresa Cambria, Guido De Guidi, Guglielmo G. Condorelli, L.L. Costanzo, Santa Ragusa, Mattia Falconi, Silvia Garavaglia, Peter J. Flor, Jean‐Philippe Pin and Laurent Prézeau. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Applied Biochemistry and Biotechnology, Chemistry and Physics of Lipids, Protein Expression and Purification and Journal of Colloid and Interface Science.

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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