José T. Saavedra

607 total citations
8 papers, 374 citations indexed

About

José T. Saavedra is a scholar working on Infectious Diseases, Molecular Biology and Ecology. According to data from OpenAlex, José T. Saavedra has authored 8 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Ecology. Recurrent topics in José T. Saavedra's work include Antimicrobial Resistance in Staphylococcus (3 papers), Mycobacterium research and diagnosis (3 papers) and Microbial Community Ecology and Physiology (2 papers). José T. Saavedra is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (3 papers), Mycobacterium research and diagnosis (3 papers) and Microbial Community Ecology and Physiology (2 papers). José T. Saavedra collaborates with scholars based in United States, Brazil and Netherlands. José T. Saavedra's co-authors include Michael S. Gilmore, François Lebreton, Abigail L. Manson, Ashlee M. Earl, Timothy J. Straub, Gabriel E. Leventhal, Tim N. Enke, Otto X. Cordero, Anneloor L.M.A. ten Asbroek and Frank Baas and has published in prestigious journals such as Cell, Nature Communications and Antimicrobial Agents and Chemotherapy.

In The Last Decade

José T. Saavedra

8 papers receiving 369 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
José T. Saavedra United States 7 160 118 95 55 49 8 374
José A. Reyes-Darías Spain 12 295 1.8× 29 0.2× 87 0.9× 13 0.2× 24 0.5× 21 487
Abigail Stevenson United Kingdom 11 232 1.4× 26 0.2× 49 0.5× 12 0.2× 64 1.3× 22 417
Jiasong Xie China 15 164 1.0× 20 0.2× 97 1.0× 22 0.4× 24 0.5× 48 671
Sophie Rodrigues France 12 279 1.7× 37 0.3× 69 0.7× 6 0.1× 50 1.0× 27 418
Mauricio Chalita South Korea 8 468 2.9× 20 0.2× 258 2.7× 15 0.3× 71 1.4× 14 647
Caroline Achard France 9 218 1.4× 30 0.3× 67 0.7× 5 0.1× 39 0.8× 18 429
Elena K. Perry United States 10 147 0.9× 15 0.1× 35 0.4× 11 0.2× 19 0.4× 11 285
Jordan W. Hodgkinson Canada 12 88 0.6× 36 0.3× 87 0.9× 21 0.4× 13 0.3× 15 783
Elizabeth Ernestina Godoy-Lozano Mexico 12 170 1.1× 42 0.4× 115 1.2× 5 0.1× 13 0.3× 23 417
Woorim Kang South Korea 14 245 1.5× 23 0.2× 110 1.2× 18 0.3× 43 0.9× 41 487

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
1.
Almeida, Lara Mendes de, Anthony O. Gaca, Paulo J. M. Bispo, et al.. (2020). Coexistence of the oxazolidinone resistance–associated genes cfr and optrA in Enterococcus faecalis from a healthy piglet in Brazil. Frontiers in Marine Science. 8. 1–8. 1 indexed citations
2.
Almeida, Lara Mendes de, François Lebreton, Anthony O. Gaca, et al.. (2020). Transferable Resistance Gene optrA in Enterococcus faecalis from Swine in Brazil. Antimicrobial Agents and Chemotherapy. 64(6). 21 indexed citations
3.
Almeida, Lara Mendes de, Anthony O. Gaca, Paulo J. M. Bispo, et al.. (2020). Coexistence of the Oxazolidinone Resistance–Associated Genes cfr and optrA in Enterococcus faecalis From a Healthy Piglet in Brazil. Frontiers in Public Health. 8. 518–518. 21 indexed citations
4.
Enke, Tim N., et al.. (2018). Microscale ecology regulates particulate organic matter turnover in model marine microbial communities. Nature Communications. 9(1). 2743–2743. 88 indexed citations
5.
Lebreton, François, Abigail L. Manson, José T. Saavedra, et al.. (2017). Tracing the Enterococci from Paleozoic Origins to the Hospital. Cell. 169(5). 849–861.e13. 177 indexed citations
6.
Saavedra, José T., Julia Schwartzman, & Michael S. Gilmore. (2017). Mapping Transposon Insertions in Bacterial Genomes by Arbitrarily Primed PCR. Current Protocols in Molecular Biology. 118(1). 15.15.1–15.15.15. 19 indexed citations
7.
Hörste, Gerd Meyer zu, Anne K. Mausberg, Helmar C. Lehmann, et al.. (2009). Mouse Schwann cells activate MHC class I and II restricted T-cell responses, but require external peptide processing for MHC class II presentation. Neurobiology of Disease. 37(2). 483–490. 35 indexed citations
8.
Saavedra, José T., Ruud A. Wolterman, Frank Baas, & Anneloor L.M.A. ten Asbroek. (2008). Myelination competent conditionally immortalized mouse Schwann cells. Journal of Neuroscience Methods. 174(1). 25–30. 12 indexed citations

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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