C. Vignoli

501 citations
12 papers · 390 · h-index 9

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 2
    • HIV/AIDS drug development and treatment 2
    • HIV Research and Treatment 3

C. Vignoli

12 papers receiving 369 citations

Peers

C. Vignoli
Comparison fields: 5 of 86
  • Virology 47
  • Endocrinology 31
  • Infectious Diseases 88
  • Microbiology 3
  • Epidemiology 96
Replace D. S. Davenport with:
D. S. Davenport United States
David R. Haburchak United States
Juliana de Souza Apostólico Brazil
Kaitian Peng United States
Richard G. Harvey United Kingdom
Mollaret Hh France
Vincent Montoya Canada
Michela Corrò Italy
Isabelle Pelloux France
Sonia T. Hegde United States
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Citations per field
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Citations per year

Countries citing papers authored by C. Vignoli

Since Specialization
Citations

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

Fields of papers citing papers by C. Vignoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1992213
2 199442
3 199827
4
Correlation between surrogate markers, viral load, and disease progression in HIV-1 infection.
199425
5 199423
6 199516
7 200613
8 200910
9 199310
10
Molecular cloning of a specific DNA probe for the identification of Bacillus licheniformis.
19925
11
Detection and identification of Mycobacterium tuberculosis, M. bovis/BCG, and M. avium by two-step polymerase chain reaction. Comparison with ELISA using A60 antigen.
19924
12
[Identification of Mycobacterium tuberculosis and Mycobacterium avium by non-radioactive probes: evaluation of the Snap Syngene system].
19922

About C. Vignoli

C. Vignoli is a scholar working on Infectious Diseases, Virology, Oncology, Epidemiology and Molecular Biology, having authored 12 papers that have together received 390 indexed citations. Recurring topics across this work include HIV Research and Treatment (3 papers), Tuberculosis Research and Epidemiology (2 papers), Mycobacterium research and diagnosis (2 papers), Polyomavirus and related diseases (2 papers), Full-Duplex Wireless Communications (2 papers), HIV/AIDS drug development and treatment (2 papers), Blood donation and transfusion practices (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Virology (47 citations), Endocrinology (31 citations), Infectious Diseases (88 citations), Microbiology (3 citations) and Epidemiology (96 citations). C. Vignoli has collaborated with scholars based in France and United States. Frequent co-authors include Xavier de Lamballerie, Christine Zandotti, P. De Micco, C. Bollet, Catherine Tamalet, Philippe de Micco, F. Chapel, Alain Lafeuillade, R Quilichini and Nouara Yahi. Their work appears in journals such as Vox Sanguinis, Journal of Clinical Pathology, Research in Microbiology, Journal of NeuroVirology and AIDS.

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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