A Casti

876 citations
35 papers · 753 · h-index 12

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Biochemistry top 10%
    • Amino Acid Enzymes and Metabolism

Papers in

A Casti

34 papers receiving 707 citations

Peers

A Casti
Comparison fields: 5 of 103
  • Immunology 245
  • Biochemistry 77
  • Biological Psychiatry 24
  • Aging 18
  • Neurology 50
Replace Helen R. Strausser with:
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Citations per field
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Helen R. Strausser · 1×
Citations per year

Countries citing papers authored by A Casti

Since Specialization
Citations

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

Fields of papers citing papers by A Casti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000433
2 197533
3 200722
4 197419
5 198218
6 198617
7 197716
8 198716
9
Involvement of polyamines in ribonucleic acid synthesis as a possible biological function.
197616
10
Polyamines as growth stimulating factors in eukariotic cells.
197615
11 199214
12 197014
13 200711
14 197711
15 198610
16 20109
17 19789
18
Polyamine and nucleoprotein correlations in hypertrophied and perfused heart.
19758
19 20067
20 20097

About A Casti

A Casti is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Physiology, Biochemistry and Cell Biology, having authored 35 papers that have together received 753 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (19 papers), Amino Acid Enzymes and Metabolism (4 papers), Biopolymer Synthesis and Applications (4 papers), Neuroscience of respiration and sleep (4 papers), RNA Interference and Gene Delivery (3 papers), Fuel Cells and Related Materials (2 papers), Pharmacological Effects and Assays (2 papers) and Thermoregulation and physiological responses (2 papers). The work is most often cited by research in Immunology (245 citations), Biochemistry (77 citations), Biological Psychiatry (24 citations), Aging (18 citations) and Neurology (50 citations). A Casti has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Mario Pedrazzoni, Francesco Fagnoni, Rosanna Vescovini, Giovanni Passeri, Mario Passeri, Paolo Sansoni, Claudio Franceschi, G. Moruzzi, Claudio Marcello Caldarera and C. M. Caldarera. Their work appears in journals such as Biochemical Journal, Biochemical and Biophysical Research Communications, Journal of Neural Transmission, British Journal of Clinical Pharmacology and Clinical Endocrinology.

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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