José T. Saavedra

607 citations
8 papers · 374 indexed · h-index 7
Topics
Antimicrobial Resistance in Staphylococcus (3 papers)Mycobacterium research and diagnosis (3 papers)Microbial Community Ecology and Physiology (2 papers)

In The Last Decade

José T. Saavedra

8 papers receiving 369 citations

Peers

José T. Saavedra
Comparison fields: 5 of 79
  • Molecular Biology 160
  • Infectious Diseases 118
  • Ecology 95
  • Clinical Biochemistry 55
  • Food Science 49
Replace José A. Reyes-Darías with:
José A. Reyes-Darías Spain
Raúl Muñoz Spain
Mauricio Chalita South Korea
Natalia Rincon South Korea
Sophie Rodrigues France
Elena K. Perry United States
M. S. Binoj Kumar United States
Tatsuya Fukumoto Japan
Flávia Viana Portugal
Jiasong Xie China
José T. Saavedra relative to José A. Reyes-Darías Spain José A. Reyes-Darías's profile →
Citations per field
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Citations per year

Countries citing papers authored by José T. Saavedra

Since Specialization
Citations

This map shows the geographic impact of José T. Saavedra'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 José T. Saavedra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José T. Saavedra more than expected).

Fields of papers citing papers by José T. Saavedra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José T. Saavedra. 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 José T. Saavedra. The network helps show where José T. Saavedra may publish in the future.

Co-authorship network of co-authors of José T. Saavedra

This figure shows the co-authorship network connecting the top 25 collaborators of José T. Saavedra. A scholar is included among the top collaborators of José T. Saavedra 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 José T. Saavedra. José T. Saavedra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 21
2
Coexistence of the oxazolidinone resistance–associated genes cfr and optrA in Enterococcus faecalis from a healthy piglet in Brazil
1
3 21
4 88
5 177
6 19
7 35
8 12

About José T. Saavedra

José T. Saavedra is a scholar working on Developmental Neuroscience, Infectious Diseases and Molecular Medicine, having authored 8 papers that have together received 374 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (3 papers), Mycobacterium research and diagnosis (3 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Molecular Medicine (41 citations), Clinical Biochemistry (55 citations) and Infectious Diseases (118 citations). José T. Saavedra has collaborated with scholars based in United States, Brazil and Netherlands. Frequent co-authors include Michael S. Gilmore, François Lebreton, Abigail L. Manson, Timothy J. Straub, Ashlee M. Earl, Tim N. Enke, Gabriel E. Leventhal, Otto X. Cordero, Anneloor L.M.A. ten Asbroek and Frank Baas. Their work appears in journals such as Cell, Nature Communications and Antimicrobial Agents and Chemotherapy.

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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