Antimo D’Aniello

81 papers receiving 3.6k citations

Peers

Antimo D’Aniello
Comparison fields: 5 of 128
  • Biochemistry 2.3k
  • Clinical Biochemistry 904
  • Biological Psychiatry 161
  • Cellular and Molecular Neuroscience 1.0k
  • Molecular Biology 1.6k
Replace Angelika Bröer with:
Angelika Bröer Australia
Keizo Waku Japan
Harald H.O. Schmid United States
Christopher D. Ferris United States
Vera Ádám‐Vizi Hungary
Richard J. Bridges United States
Arata Ichiyama Japan
Jack R. Cooper United States
Donald D. Clarke United States
Silvia Sacchi Italy
Antimo D’Aniello relative to Angelika Bröer Australia Angelika Bröer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Antimo D’Aniello

Since Specialization
Citations

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

Fields of papers citing papers by Antimo D’Aniello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antimo D’Aniello. 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 Antimo D’Aniello. The network helps show where Antimo D’Aniello may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006220
2 1993219
3 1991171
4 2000166
5 2000136
6 1977114
7 1993113
8 2015112
9 2009107
10 2008102
11 201097
12 199894
13 201383
14 200779
15 200576
16 199276
17 201070
18 199862
19 201461
20 200658

About Antimo D’Aniello

Antimo D’Aniello is a scholar working on Biochemistry, Cellular and Molecular Neuroscience, Molecular Biology, Clinical Biochemistry and Physiology, having authored 81 papers that have together received 3.7k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (55 papers), Neuroscience and Neuropharmacology Research (24 papers), Metabolism and Genetic Disorders (19 papers), Epigenetics and DNA Methylation (12 papers), Biochemical effects in animals (7 papers), Polyamine Metabolism and Applications (6 papers), Cephalopods and Marine Biology (6 papers) and Biomedical Research and Pathophysiology (4 papers). The work is most often cited by research in Biochemistry (2.3k citations), Clinical Biochemistry (904 citations), Biological Psychiatry (161 citations), Cellular and Molecular Neuroscience (1.0k citations) and Molecular Biology (1.6k citations). Antimo D’Aniello has collaborated with scholars based in Italy, United States and Iran. Frequent co-authors include G. H. Fisher, Amedeo Vetere, Maria Maddalena Di Fiore, Antonio Giuditta, Enza Topo, Francesco Errico, Leonard Petrucelli, Gemma D’Aniello, Herman Wolosker and Solomon H. Snyder. Their work appears in journals such as Amino Acids, Analytical Biochemistry, Journal of Cellular Physiology, Journal of the American Society of Nephrology and Life Sciences.

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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