V. Chini

400 citations
10 papers · 323 · h-index 8

Impact in

Papers in

V. Chini

10 papers receiving 320 citations

Peers

V. Chini
Comparison fields: 5 of 54
  • Clinical Biochemistry 104
  • Infectious Diseases 250
  • Applied Microbiology and Biotechnology 9
  • Molecular Medicine 13
  • Molecular Biology 138
Replace Christian Cespedes with:
Christian Cespedes United States
Kévin Gaillard France
Teresa Boquete Spain
P. Trincado Spain
Carolina Berglund Sweden
Hirokazu Isobe Japan
Hermínia de Lencastre Portugal
Glenny Vasquez United States
Ana Maria Nunes Botelho Brazil
H. Lencastre Portugal
V. Chini relative to Christian Cespedes United States Christian Cespedes's profile →
Citations per field
00.5×3.1×
Christian Cespedes · 1×
Citations per year

Countries citing papers authored by V. Chini

Since Specialization
Citations

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

Fields of papers citing papers by V. Chini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside V. Chini, 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. Chini Line = papers co-authored together V. Chini links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200682
2 201445
3 200742
4 200841
5 200632
6 200626
7 200725
8 200822
9 20117
10 20071

About V. Chini

V. Chini is a scholar working on Infectious Diseases, Molecular Biology, Clinical Biochemistry, Public Health, Environmental and Occupational Health and Critical Care and Intensive Care Medicine, having authored 10 papers that have together received 323 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (9 papers), Bacterial biofilms and quorum sensing (6 papers), Bacterial Identification and Susceptibility Testing (3 papers), Streptococcal Infections and Treatments (2 papers), Antibiotic Use and Resistance (1 paper), Biochemical and Structural Characterization (1 paper), Infective Endocarditis Diagnosis and Management (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Clinical Biochemistry (104 citations), Infectious Diseases (250 citations), Applied Microbiology and Biotechnology (9 citations), Molecular Medicine (13 citations) and Molecular Biology (138 citations). V. Chini has collaborated with scholars based in Greece and France. Frequent co-authors include Iris Spiliopoulou, Antigoni Foka, G. Dimitracopoulos, Efthimia Petinaki, Dimitris A. Papanastasiou, Fevronia Kolonitsiou, George N. Christodoulou, E. D. Anastassiou, Emmanuel Stamatakis and Ελεάννα Δρούγκα. Their work appears in journals such as Clinical Microbiology and Infection, Chemotherapy, Journal of Clinical Microbiology, Letters in Applied Microbiology and International Journal of Antimicrobial Agents.

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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