Cosimo Pinto

881 citations
11 papers · 684 · h-index 9

Impact in

    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • DNA and Nucleic Acid Chemistry
    • Genomics and Chromatin Dynamics
    • Carcinogens and Genotoxicity Assessment

Papers in

    • DNA Repair Mechanisms 7
    • CRISPR and Genetic Engineering 5
    • DNA and Nucleic Acid Chemistry 4
    • Protein purification and stability 3
    • PARP inhibition in cancer therapy 3

Cosimo Pinto

10 papers receiving 677 citations

Peers

Cosimo Pinto
Comparison fields: 5 of 46
  • Molecular Biology 674
  • Cancer Research 130
  • Oncology 195
  • Cell Biology 65
  • Aging 6
Replace Maryna Levikova with:
Maryna Levikova Switzerland
Peter Burkovics Hungary
Nagaraja Chappidi Switzerland
Kees Vreeken Netherlands
Anastazja Grabarz France
Parameswary A. Muniandy United States
Sean Howard United States
Radhakrishnan Kanagaraj Switzerland
Marek Šebesta Czechia
Marietta Y. Lee United States
Cosimo Pinto relative to Maryna Levikova Switzerland Maryna Levikova's profile →
Citations per field
00.5×1.5×
Maryna Levikova · 1×
Citations per year

Countries citing papers authored by Cosimo Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Cosimo Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2015277
2 2014167
3 202058
4 201658
5 201739
6 201628
7 201826
8 201816
9 202011
10 20234
11 20230

About Cosimo Pinto

Cosimo Pinto is a scholar working on Molecular Biology, Oncology, Cancer Research, Pharmaceutical Science and Ecology, having authored 11 papers that have together received 684 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Protein purification and stability (3 papers), PARP inhibition in cancer therapy (3 papers), Carcinogens and Genotoxicity Assessment (2 papers), Drug Solubulity and Delivery Systems (1 paper) and Field-Flow Fractionation Techniques (1 paper). The work is most often cited by research in Molecular Biology (674 citations), Cancer Research (130 citations), Oncology (195 citations), Cell Biology (65 citations) and Aging (6 citations). Cosimo Pinto has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Petr Ćejka, Maryna Levikova, Ralf Seidel, Radhakrishnan Kanagaraj, Pavel Janščák, Kamila Burdová, Roopesh Anand, Matteo Berti, Eric A. Hendrickson and Saravanabhavan Thangavel. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Methods in enzymology on CD-ROM/Methods in enzymology, Genes & Development, The Journal of Cell Biology and Journal of Biological Chemistry.

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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