V. Calderone

3.3k citations
86 papers · 2.7k · h-index 32

Impact in

Papers in

    • Protein Structure and Dynamics 10
    • Signaling Pathways in Disease 9
    • Biochemical and Molecular Research 9
    • Peptidase Inhibition and Analysis 19

V. Calderone

84 papers receiving 2.7k citations

Peers

V. Calderone
Comparison fields: 5 of 117
  • Molecular Medicine 233
  • Cancer Research 455
  • Nutrition and Dietetics 375
  • Oncology 616
  • Molecular Biology 1.5k
Replace Richard N. Armstrong with:
Richard N. Armstrong United States
Aaron J. Oakley Australia
Derek Parsonage United States
I.J. Clifton United Kingdom
Martin K. Safo United States
Masami Otsuka Japan
Manas Kumar Santra India
Christian Oefner Switzerland
Petr Kuzmič United States
Kevin T. Chapman United States
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Citations per field
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Citations per year

Countries citing papers authored by V. Calderone

Since Specialization
Citations

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

Fields of papers citing papers by V. Calderone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009141
2 2005123
3 2004119
4 2009106
5 200699
6 201194
7 200689
8 200689
9 200978
10 200172
11 200872
12 200371
13 200570
14 201266
15 200765
16 200963
17 201359
18 201059
19 200256
20 201350

About V. Calderone

V. Calderone is a scholar working on Molecular Biology, Oncology, Materials Chemistry, Cancer Research and Nutrition and Dietetics, having authored 86 papers that have together received 2.7k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (19 papers), Enzyme Structure and Function (16 papers), Protease and Inhibitor Mechanisms (16 papers), Protein Structure and Dynamics (10 papers), Signaling Pathways in Disease (9 papers), Biochemical and Molecular Research (9 papers), Trace Elements in Health (8 papers) and Metal-Catalyzed Oxygenation Mechanisms (8 papers). The work is most often cited by research in Molecular Medicine (233 citations), Cancer Research (455 citations), Nutrition and Dietetics (375 citations), Oncology (616 citations) and Molecular Biology (1.5k citations). V. Calderone has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Ivano Bertini, Claudio Luchinat, Marco Fragai, Stefano Mangani, Lucia Banci, Giuseppe Zanotti, Simone Ciofi‐Baffoni, Manuela Benvenuti, R. Berni and Gian María Rossolini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society, Journal of Molecular Biology, Biomolecules and Angewandte Chemie International Edition.

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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