Jaime Labarca

8.9k citations
41 papers · 1.1k indexed · h-index 17
Topics
Antibiotic Resistance in Bacteria (11 papers)Antibiotic Use and Resistance (10 papers)Bacterial Identification and Susceptibility Testing (8 papers)

In The Last Decade

Jaime Labarca

41 papers receiving 1.1k citations

Peers

Jaime Labarca
Comparison fields: 5 of 102
  • Infectious Diseases 406
  • Epidemiology 306
  • Molecular Medicine 289
  • Molecular Biology 271
  • Clinical Biochemistry 223
Replace Varsha Gupta with:
Varsha Gupta India
Theodore Gouliouris United Kingdom
Abida Malik India
Seong Yeol Ryu South Korea
W. R. Gransden United Kingdom
T.G. Winstanley United Kingdom
Rola Husni Lebanon
Yonit Wiener‐Well Israel
Karina Kennedy Australia
Chang-Pan Liu Taiwan
Jaime Labarca relative to Varsha Gupta India Varsha Gupta's profile →
Citations per field
00.5×1.7×
Varsha Gupta · 1×
Citations per year

Countries citing papers authored by Jaime Labarca

Since Specialization
Citations

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

Fields of papers citing papers by Jaime Labarca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaime Labarca

This figure shows the co-authorship network connecting the top 25 collaborators of Jaime Labarca. A scholar is included among the top collaborators of Jaime Labarca based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jaime Labarca. Jaime Labarca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 9
3 3
4 9
5 5
6 1
7 3
8 13
9 62
10 28
11 97
12 6
13 11
14 67
15 4
16 121
17 9
18 74
19 82
20 45

About Jaime Labarca

Jaime Labarca is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (11 papers), Antibiotic Use and Resistance (10 papers) and Bacterial Identification and Susceptibility Testing (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (149 citations), Molecular Medicine (289 citations) and Endocrinology (206 citations). Jaime Labarca has collaborated with scholars based in Chile, United States and Argentina. Frequent co-authors include Manuel Guzmán-Blanco, Mauro José Costa Salles, Carlos Seas, Eduardo Gotuzzo, Ana María Guzmán, María Virginia Villegas, Carlos Álvarez, David A. Bruckner, Laurene Mascola and Marco Arrese. Their work appears in journals such as The Lancet, Clinical Infectious Diseases and Journal of Clinical Microbiology.

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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