Alain Bizzini

36 papers receiving 2.5k citations

Peers

Alain Bizzini
Comparison fields: 5 of 128
  • Clinical Biochemistry 1.2k
  • Molecular Medicine 266
  • Endocrinology 184
  • Microbiology 23
  • Applied Microbiology and Biotechnology 59
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Ken Kikuchi Japan
Michael A. Lewinski United States
Agnès Ferroni France
Joel N. Maslow United States
Hossein Salimnia United States
Rangarajan Sampath United States
Martin Rottman France
Étienne Carbonnelle France
Chulhun L. Chang South Korea
Shinya Watanabe Japan
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Citations per field
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Citations per year

Countries citing papers authored by Alain Bizzini

Since Specialization
Citations

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

Fields of papers citing papers by Alain Bizzini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010460
2 2010377
3 1997332
4 2013283
5 2010197
6 2010184
7 2012158
8 200965
9 200956
10 201245
11 201341
12 201240
13 201332
14 201631
15 201330
16 201628
17 201828
18 201724
19 201524
20 200722

About Alain Bizzini

Alain Bizzini is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Clinical Biochemistry and Public Health, Environmental and Occupational Health, having authored 36 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (11 papers), Infective Endocarditis Diagnosis and Management (10 papers), Bacterial Identification and Susceptibility Testing (10 papers), Bacterial biofilms and quorum sensing (8 papers), Streptococcal Infections and Treatments (6 papers), Bacterial Genetics and Biotechnology (5 papers), Orthopedic Infections and Treatments (4 papers) and Force Microscopy Techniques and Applications (3 papers). The work is most often cited by research in Clinical Biochemistry (1.2k citations), Molecular Medicine (266 citations), Endocrinology (184 citations), Microbiology (23 citations) and Applied Microbiology and Biotechnology (59 citations). Alain Bizzini has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Gilbert Greub, Guy Prod’hom, Jacques Billé, Christian Durussel, Andrej Trampuž, Laura Rio, Sandor Kasas, Giovanni Longo, Giovanni Dietler and Luigi Solbiati. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Antimicrobial Chemotherapy, Microbiology, Journal of Bacteriology and Microbial Drug Resistance.

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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