Davide Stefanoni

2.8k citations
29 papers · 1.6k · 1 hit paper · h-index 21

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 5
    • Mitochondrial Function and Pathology 2
    • Erythrocyte Function and Pathophysiology 7
    • Adipose Tissue and Metabolism 2

Davide Stefanoni

28 papers receiving 1.6k citations

Davide Stefanoni's Hit Papers

COVID-19 infection alters kynurenine and fatty acid metabolism, correlating with IL-6 levels and renal status 2020 · 401 citations
4010+2+4Years since publication100200300400

Peers

Davide Stefanoni
Comparison fields: 5 of 102
  • Biological Psychiatry 184
  • Biochemistry 123
  • Physiology 448
  • Infectious Diseases 276
  • Neurology 191
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Citations per field
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Citations per year

Countries citing papers authored by Davide Stefanoni

Since Specialization
Citations

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

Fields of papers citing papers by Davide Stefanoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
COVID-19 infection alters kynurenine and fatty acid metabolism, correlating with IL-6 levels and renal status
Hit paper breakdown →
2020401
2 2020228
3 2020189
4 2022106
5 201875
6 202060
7 202053
8 202150
9 202148
10 202045
11 202043
12 201942
13 201935
14 202130
15 202030
16 202129
17 202127
18 201926
19 202324
20 202023

About Davide Stefanoni

Davide Stefanoni is a scholar working on Molecular Biology, Physiology, Hematology, Cell Biology and Pediatrics, Perinatology and Child Health, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Blood transfusion and management (3 papers), Neonatal Health and Biochemistry (3 papers), Blood groups and transfusion (2 papers), Adipose Tissue and Metabolism (2 papers), Mitochondrial Function and Pathology (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). The work is most often cited by research in Biological Psychiatry (184 citations), Biochemistry (123 citations), Physiology (448 citations), Infectious Diseases (276 citations) and Neurology (191 citations). Davide Stefanoni has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Angelo D’Alessandro, Travis Nemkov, Kirk C. Hansen, James C. Zimring, Julie A. Reisz, Tiffany Thomas, Steven L. Spitalnik, Richard O. Francis, Krystalyn E. Hudson and Eldad A. Hod. Their work appears in journals such as Transfusion, Journal of Proteome Research, Frontiers in Physiology, JCI Insight and Haematologica.

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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