Sergio Serafini

484 citations
11 papers · 393 · h-index 11

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • Histone Deacetylase Inhibitors Research
    • Protein Degradation and Inhibitors

Papers in

    • Protein Degradation and Inhibitors 5
    • Histone Deacetylase Inhibitors Research 5
    • Hedgehog Signaling Pathway Studies 2
    • Peptidase Inhibition and Analysis 3

Sergio Serafini

11 papers receiving 372 citations

Peers

Sergio Serafini
Comparison fields: 5 of 61
  • Hepatology 69
  • Molecular Biology 292
  • Oncology 109
  • Organic Chemistry 72
  • Virology 10
Replace Méryl Thomas with:
Méryl Thomas United States
Christina Rau Germany
Philippe Neuner Italy
Hock Ben Lim United States
Darin Vanderpool United States
Liesbet van der Helm Belgium
Peng Zhan China
Martine Hamel Canada
Akhter Molla United States
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Citations per field
00.5×2.6×
Méryl Thomas · 1×
Citations per year

Countries citing papers authored by Sergio Serafini

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Serafini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 200881
2 200068
3 199655
4 200652
5 200942
6 201124
7 200817
8 200917
9 201114
10 199912
11 200811

About Sergio Serafini

Sergio Serafini is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Genetics and Hepatology, having authored 11 papers that have together received 393 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (5 papers), Histone Deacetylase Inhibitors Research (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Hepatitis C virus research (2 papers), Ocular Disorders and Treatments (2 papers) and Oral and gingival health research (1 paper). The work is most often cited by research in Hepatology (69 citations), Molecular Biology (292 citations), Oncology (109 citations), Organic Chemistry (72 citations) and Virology (10 citations). Sergio Serafini has collaborated with scholars based in Italy, Switzerland and China. Frequent co-authors include Sergio Altamura, Raffaele De Francesco, Christian Steinkühler, Michael Rowley, Philip Jones, Armin Lahm, Paola Gallinari, Alessandra Vitelli, Licia Tomei and Rosa Vitale. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, SLAS DISCOVERY, The EMBO Journal, Journal of Medicinal Chemistry and Analytical Biochemistry.

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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