Daniela D’Amico

909 citations
33 papers · 731 · h-index 20

Impact in

  • Virology top 5%
    • Rabies epidemiology and control
    • HIV Research and Treatment
  • Paleontology top 10%
    • Marine Invertebrate Physiology and Ecology

Papers in

    • Ion channel regulation and function 9
    • Muscle Physiology and Disorders 4
    • Heat shock proteins research 3
    • Venomous Animal Envenomation and Studies 11

Daniela D’Amico

33 papers receiving 704 citations

Peers

Daniela D’Amico
Comparison fields: 5 of 95
  • Virology 126
  • Paleontology 82
  • Genetics 293
  • Molecular Biology 379
  • Pharmacology 72
Replace Ho Sueb Song with:
Ho Sueb Song South Korea
Lei Luo China
Clauber Mota De Sousa Brazil
Marina Henke Germany
W. G. KRUGGEL United States
Daniel Emerling United States
Amy M. Brownawell United States
Youtian Hu China
Julia Dunlop United Kingdom
Min Guo China
Daniela D’Amico relative to Ho Sueb Song South Korea Ho Sueb Song's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela D’Amico

Since Specialization
Citations

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

Fields of papers citing papers by Daniela D’Amico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200366
2 200852
3 200845
4 200738
5 202237
6 200637
7 201732
8 200532
9 201630
10 199129
11 200828
12 200626
13 200826
14 201924
15 201224
16 202223
17 200822
18 200522
19 202120
20 200319

About Daniela D’Amico

Daniela D’Amico is a scholar working on Molecular Biology, Genetics, Virology, Physiology and Organic Chemistry, having authored 33 papers that have together received 731 indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (11 papers), Ion channel regulation and function (9 papers), Muscle Physiology and Disorders (4 papers), Exercise and Physiological Responses (4 papers), Heat shock proteins research (3 papers), Rabies epidemiology and control (3 papers), Adipose Tissue and Metabolism (3 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Virology (126 citations), Paleontology (82 citations), Genetics (293 citations), Molecular Biology (379 citations) and Pharmacology (72 citations). Daniela D’Amico has collaborated with scholars based in Brazil, Italy and United States. Frequent co-authors include Sérgio Marangoni, José C. Novello, Saulo L. da Silva, Eliseo A. Eugenín, Silvana Valdebenito, Paulo A. Baldasso, Maria Lı́gia Rodrigues Macedo, Luis Alberto Ponce-Soto, Andrana K. Calgarotto and Marcos Hikari Toyama. Their work appears in journals such as Toxicon, The Protein Journal, Cells, European Journal of Medicinal Chemistry and Molecular Genetics and Metabolism.

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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