Davide Deodato

597 citations
24 papers · 506 · h-index 15

Impact in

Papers in

    • RNA and protein synthesis mechanisms 4
    • Phenothiazines and Benzothiazines Synthesis and Activities 3
    • Cancer therapeutics and mechanisms 2
    • Click Chemistry and Applications 3

Davide Deodato

24 papers receiving 498 citations

Peers

Davide Deodato
Comparison fields: 5 of 71
  • Organic Chemistry 218
  • Microbiology 34
  • Cellular and Molecular Neuroscience 61
  • Molecular Biology 230
  • Epidemiology 113
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Laura Lagartera Spain
Fred E. Cohen United States
Alokta Chakrabarti Germany
Qais Z. Jaber Israel
Mohammad Shafiei Iran
Almudena Perona Spain
Dale F. Kreitler United States
Katharine A. Winans United States
Joseph W. Guiles United States
Jonas Ivan Nobre Oliveira Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Davide Deodato

Since Specialization
Citations

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

Fields of papers citing papers by Davide Deodato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201651
2 201744
3 201839
4 201937
5 201332
6 201330
7 201729
8 201627
9 201827
10 201826
11 201422
12 201521
13 201619
14 201415
15 202015
16 201714
17 201813
18 201912
19 201710
20 202210

About Davide Deodato

Davide Deodato is a scholar working on Molecular Biology, Organic Chemistry, Materials Chemistry, Cellular and Molecular Neuroscience and Infectious Diseases, having authored 24 papers that have together received 506 indexed citations. Recurring topics across this work include Photochromic and Fluorescence Chemistry (8 papers), Photoreceptor and optogenetics research (6 papers), Influenza Virus Research Studies (4 papers), RNA and protein synthesis mechanisms (4 papers), Phenothiazines and Benzothiazines Synthesis and Activities (3 papers), Click Chemistry and Applications (3 papers), Computational Drug Discovery Methods (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Organic Chemistry (218 citations), Microbiology (34 citations), Cellular and Molecular Neuroscience (61 citations), Molecular Biology (230 citations) and Epidemiology (113 citations). Davide Deodato has collaborated with scholars based in United States, Italy and United Arab Emirates. Frequent co-authors include Timothy M. Dore, Maurizio Botta, Filomena De Luca, Jean‐Denis Docquier, Cristina Tintori, David Lee Phillips, Anna Lucia Fallacara, Xin Lan, Ilaria D’Agostino and Claudio Zamperini. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, ACS Chemical Neuroscience, The Journal of Organic Chemistry and European Journal of Medicinal 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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