A. Ariza

1.8k citations
30 papers · 1.4k · h-index 20

Impact in

  • Physiology top 2%
    • Calcium signaling and nucleotide metabolism
  • Oncology top 5%
    • PARP inhibition in cancer therapy

Papers in

    • DNA Repair Mechanisms 7
    • Enzyme Catalysis and Immobilization 3
    • PARP inhibition in cancer therapy 10

A. Ariza

30 papers receiving 1.4k citations

Peers

A. Ariza
Comparison fields: 5 of 96
  • Physiology 184
  • Oncology 567
  • Geriatrics and Gerontology 44
  • Infectious Diseases 238
  • Immunology 275
Replace Lawrence J. Wangh with:
Lawrence J. Wangh United States
Alessandra M. Albertini Italy
Alberto Vita Italy
Lilin Zhang China
Kasper R. Andersen Denmark
Patricia M. Legler United States
Thomas Ve Australia
Quentin Giai Gianetto France
Xiaojin Xu China
Claudia Gravekamp United States
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Citations per year

Countries citing papers authored by A. Ariza

Since Specialization
Citations

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

Fields of papers citing papers by A. Ariza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020211
2 2016145
3 2012100
4 201578
5 201575
6 201366
7 201460
8 201859
9 202156
10 200653
11 201751
12 202150
13 200945
14 201640
15 201340
16 201138
17 201335
18 200531
19 202330
20 201527

About A. Ariza

A. Ariza is a scholar working on Molecular Biology, Oncology, Immunology, Physiology and Biotechnology, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (10 papers), DNA Repair Mechanisms (7 papers), Toxin Mechanisms and Immunotoxins (7 papers), Calcium signaling and nucleotide metabolism (5 papers), Enzyme Production and Characterization (5 papers), Viral Infections and Vectors (4 papers), Trypanosoma species research and implications (3 papers) and Enzyme Catalysis and Immobilization (3 papers). The work is most often cited by research in Physiology (184 citations), Oncology (567 citations), Geriatrics and Gerontology (44 citations), Infectious Diseases (238 citations) and Immunology (275 citations). A. Ariza has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Ivan Ahel, Gytis Jankevicius, Marijan Ahel, Dragana Ahel, Thomas A. Edwards, John N. Barr, J.G.M. Rack, Julian A. Hiscox, Keith S. Wilson and Paul J. Hergenrother. Their work appears in journals such as Nature Communications, Molecular Cell, Acta Crystallographica Section D Structural Biology, PLoS ONE and Nucleic Acids Research.

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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