M Visalli

1.9k citations
32 papers · 1.6k · h-index 20

Impact in

Papers in

    • Antibiotics Pharmacokinetics and Efficacy 18
    • Pneumonia and Respiratory Infections 10
    • Herpesvirus Infections and Treatments 6
    • Cytomegalovirus and herpesvirus research 4

M Visalli

31 papers receiving 1.5k citations

Peers

M Visalli
Comparison fields: 5 of 88
  • Molecular Medicine 891
  • Applied Microbiology and Biotechnology 110
  • Endocrinology 221
  • Pharmacology 545
  • Clinical Biochemistry 128
Replace Fernando Docobo-Pérez with:
Fernando Docobo-Pérez Spain
Wenchi Shang United States
Jennifer Adams United States
Michael Kresken Germany
Binghua Hao United States
Antonio Oliver Spain
Luigi Principe Italy
Qiwen Yang China
R E Kessler United States
Steven H. Marshall United States
M Visalli relative to Fernando Docobo-Pérez Spain Fernando Docobo-Pérez's profile →
Citations per field
00.5×1.6×
Fernando Docobo-Pérez · 1×
Citations per year

Countries citing papers authored by M Visalli

Since Specialization
Citations

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

Fields of papers citing papers by M Visalli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003237
2 2005169
3 2003139
4 1998124
5 2004122
6 199294
7 200282
8 199772
9 199758
10 199855
11 199654
12 199638
13 199736
14 199832
15 199630
16 199630
17 199728
18 199627
19 200826
20 200322

About M Visalli

M Visalli is a scholar working on Pharmacology, Epidemiology, Molecular Medicine, Infectious Diseases and Genetics, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (18 papers), Antibiotic Resistance in Bacteria (15 papers), Pneumonia and Respiratory Infections (10 papers), Herpesvirus Infections and Treatments (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Cytomegalovirus and herpesvirus research (4 papers), Virus-based gene therapy research (4 papers) and Antibiotic Use and Resistance (3 papers). The work is most often cited by research in Molecular Medicine (891 citations), Applied Microbiology and Biotechnology (110 citations), Endocrinology (221 citations), Pharmacology (545 citations) and Clinical Biochemistry (128 citations). M Visalli has collaborated with scholars based in United States. Frequent co-authors include Peter C. Appelbaum, Michael R. Jacobs, Patricia A. Bradford, Steven J. Projan, Phaik‐Eng Sum, Alexey Ruzin, Charles R. Dean, David Keeney, Saralee Bajaksouzian and Ellen Murphy. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Virology, Virus Research, Diagnostic Microbiology and Infectious Disease and Virology.

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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