A.F. Pinto

766 citations
21 papers · 577 · h-index 12

Impact in

  • Oncology top 10%
    • PARP inhibition in cancer therapy
  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism

Papers in

A.F. Pinto

20 papers receiving 568 citations

Peers

A.F. Pinto
Comparison fields: 5 of 80
  • Oncology 289
  • Physiology 31
  • Inorganic Chemistry 65
  • Molecular Biology 298
  • Immunology 78
Replace Samuel G. Gattis with:
Samuel G. Gattis United States
L.J. Bailey United States
Min Dong China
Jessica De Ingeniis United States
Theresia A. Schaedler United Kingdom
Wilma Neumann Germany
Dominique Liger France
David Lascoux France
Ole F. Nielsen Denmark
Petr Kolenko Czechia
A.F. Pinto relative to Samuel G. Gattis United States Samuel G. Gattis's profile →
Citations per field
00.5×6.5×
Samuel G. Gattis · 1×
Citations per year

Countries citing papers authored by A.F. Pinto

Since Specialization
Citations

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

Fields of papers citing papers by A.F. Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016278
2 200954
3 201350
4 201840
5 201715
6 202314
7 201014
8 201414
9 201112
10 201612
11 200911
12 201611
13 201410
14 202210
15 20149
16 20147
17 20107
18 20185
19 20113
20 20241

About A.F. Pinto

A.F. Pinto is a scholar working on Molecular Biology, Inorganic Chemistry, Oncology, Immunology and Biochemistry, having authored 21 papers that have together received 577 indexed citations. Recurring topics across this work include Metal-Catalyzed Oxygenation Mechanisms (8 papers), Toxin Mechanisms and Immunotoxins (5 papers), PARP inhibition in cancer therapy (4 papers), Phytochemicals and Antioxidant Activities (3 papers), Enzyme Structure and Function (3 papers), Botanical Research and Applications (2 papers), Protein Structure and Dynamics (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Oncology (289 citations), Physiology (31 citations), Inorganic Chemistry (65 citations), Molecular Biology (298 citations) and Immunology (78 citations). A.F. Pinto has collaborated with scholars based in Portugal, Germany and Sweden. Frequent co-authors include H. Schüler, T. Karlberg, T. Ekblad, A.G. Thorsell, Michael S. Cohen, L. Tresaugues, M. Moche, Miguel Teixeira, João V. Rodrigues and Mikael Elofsson. Their work appears in journals such as Physical Chemistry Chemical Physics, JBIC Journal of Biological Inorganic Chemistry, ACS Chemical Biology, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Protein Expression and Purification.

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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