Marcelo Galas

47 papers receiving 1.2k citations

Peers

Marcelo Galas
Comparison fields: 5 of 79
  • Molecular Medicine 625
  • Endocrinology 365
  • Applied Microbiology and Biotechnology 82
  • Microbiology 168
  • Clinical Biochemistry 143
Replace Diego Faccone with:
Diego Faccone Argentina
Yunsop Chong South Korea
Yih‐Ru Shiau Taiwan
Thomas Guillard France
Chanwit Tribuddharat Thailand
Silvia García-Cobos Spain
Belén Aracil Spain
Frank Hansen Denmark
Nicolas Fortineau France
Estelle Saras France
Marcelo Galas relative to Diego Faccone Argentina Diego Faccone's profile →
Citations per field
00.5×1.5×
Diego Faccone · 1×
Citations per year

Countries citing papers authored by Marcelo Galas

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Galas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021161
2 2002105
3 201193
4 200778
5 200273
6 200372
7 201458
8 201350
9 200943
10 200740
11 200238
12 200435
13 200635
14 200433
15 201028
16 201924
17 201323
18 200622
19 199922
20 200521

About Marcelo Galas

Marcelo Galas is a scholar working on Molecular Medicine, Endocrinology, Infectious Diseases, Epidemiology and Pharmacology, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (24 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Vibrio bacteria research studies (7 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Bacterial Identification and Susceptibility Testing (7 papers), Enterobacteriaceae and Cronobacter Research (6 papers), Streptococcal Infections and Treatments (5 papers) and Salmonella and Campylobacter epidemiology (5 papers). The work is most often cited by research in Molecular Medicine (625 citations), Endocrinology (365 citations), Applied Microbiology and Biotechnology (82 citations), Microbiology (168 citations) and Clinical Biochemistry (143 citations). Marcelo Galas has collaborated with scholars based in Argentina, United States and Canada. Frequent co-authors include Alejandra Corso, Roberto G. Melano, Alejandro Petroni, Diego Faccone, Alicia Rossi, Fernando Pasterán, Celeste Lucero, Daniela Centrón, Erling B. Myhre and Gunnar Kahlmeter. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, International Journal of Antimicrobial Agents, Diagnostic Microbiology and Infectious Disease, Clinical Microbiology and Infection and The Lancet Microbe.

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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