Fernando M. Trejo

770 total citations
16 papers, 610 citations indexed

About

Fernando M. Trejo is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Fernando M. Trejo has authored 16 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 6 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Fernando M. Trejo's work include Clostridium difficile and Clostridium perfringens research (8 papers), Probiotics and Fermented Foods (5 papers) and Microscopic Colitis (4 papers). Fernando M. Trejo is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (8 papers), Probiotics and Fermented Foods (5 papers) and Microscopic Colitis (4 papers). Fernando M. Trejo collaborates with scholars based in Argentina, United Kingdom and France. Fernando M. Trejo's co-authors include Graciela L. De Antoni, Pablo F. Pérez, Paola Gauffin-Cano, Arlette Santacruz, Yolanda Sanz, Marina A. Golowczyc, Dante Javier Bueno, Graciela De Antoni, Jessica Minnaard and María de los Ángeles Serradell and has published in prestigious journals such as Frontiers in Immunology, Journal of Cellular Physiology and Food Research International.

In The Last Decade

Fernando M. Trejo

13 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fernando M. Trejo Argentina	9	388	234	132	121	73	16	610
Jonathan Thévenot France	13	405 1.0×	290 1.2×	126 1.0×	153 1.3×	51 0.7×	19	789
Robert W. P. Glowacki United States	7	499 1.3×	137 0.6×	142 1.1×	65 0.5×	59 0.8×	11	674
Silvina del Carmen Argentina	14	471 1.2×	370 1.6×	125 0.9×	44 0.4×	42 0.6×	19	753
Damien J. Cabral United States	11	357 0.9×	155 0.7×	109 0.8×	51 0.4×	39 0.5×	13	555
Miki Kawada‐Matsuo Japan	18	396 1.0×	189 0.8×	139 1.1×	39 0.3×	76 1.0×	60	789
Edgar Torres-Maravilla France	13	343 0.9×	241 1.0×	79 0.6×	67 0.6×	34 0.5×	30	656
Jenna I. Wurster United States	9	241 0.6×	141 0.6×	85 0.6×	59 0.5×	55 0.8×	14	424
Yuichi Oogai Japan	17	403 1.0×	173 0.7×	171 1.3×	32 0.3×	78 1.1×	32	786
Guiyan Yang China	15	323 0.8×	265 1.1×	104 0.8×	28 0.2×	82 1.1×	34	692
Rachael B. Chanin United States	11	311 0.8×	136 0.6×	158 1.2×	46 0.4×	34 0.5×	18	549

Countries citing papers authored by Fernando M. Trejo

Since Specialization

Citations

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

Fields of papers citing papers by Fernando M. Trejo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando M. Trejo

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

All Works

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16 of 16 papers shown

Llana, Mariángeles Noto, et al.. (2025). Antibiofilm properties of lactic acid bacteria and their metabolites against Salmonella enterica serotype Enteritidis on eggshell surface. Current Research in Microbial Sciences. 8. 100384–100384.

Trejo, Fernando M., et al.. (2023). S-layer proteins as immune players: Tales from pathogenic and non-pathogenic bacteria. Current Research in Microbial Sciences. 4. 100187–100187. 12 indexed citations

Cejas, Daniela, et al.. (2023). Characterization of a Clostridioides difficile ST-293 isolate from a recurrent infection in Argentina. Revista Argentina de Microbiología. 55(2). 150–159.

Carasi, Paula, A.A. Hugo, Ana Agustina Bengoa, et al.. (2022). Clostridioides difficile: Characterization of the circulating toxinotypes in an Argentinean public hospital. Revista Argentina de Microbiología. 55(1). 73–82. 1 indexed citations

Smaldini, Paola, et al.. (2021). Mucosal Immunoregulatory Properties of Tsukamurella inchonensis to Reverse Experimental Food Allergy. Frontiers in Immunology. 12. 641597–641597.

Trejo, Fernando M., et al.. (2019). Lactobacillus strains inhibit biofilm formation of Salmonella sp. isolates from poultry. Food Research International. 123. 258–265. 74 indexed citations

Smaldini, Paola, Fernando M. Trejo, José L. Cohen, Eliane Piaggio, & Guillermo Docena. (2018). SystemicIL‐2/anti‐IL‐2Ab complex combined with sublingual immunotherapy suppresses experimental food allergy in mice through induction of mucosal regulatory T cells. Allergy. 73(4). 885–895. 29 indexed citations

Trejo, Fernando M., et al.. (2017). Biofilm formation by Salmonella sp. in the poultry industry: Detection, control and eradication strategies. Food Research International. 119. 530–540. 117 indexed citations

Martino, Ana Di, Claudia Barberis, Liliana Fernández Canigia, et al.. (2017). Detection of toxigenic Clostridioides [Clostridium] difficile : Usefulness of two commercially available enzyme immunoassays and a PCR assay on stool samples and stool isolates. Revista Argentina de Microbiología. 50(1). 36–44. 7 indexed citations

10.

Muglia, Cecilia Isabel, et al.. (2016). Use of a Collagen Membrane to Enhance the Survival of Primary Intestinal Epithelial Cells. Journal of Cellular Physiology. 232(9). 2489–2496. 8 indexed citations

11.

Trejo, Fernando M., Graciela L. De Antoni, & Pablo F. Pérez. (2013). Protective effect of bifidobacteria in an experimental model ofClostridium difficileassociated colitis. Journal of Dairy Research. 80(3). 263–269. 17 indexed citations

12.

Gauffin-Cano, Paola, Arlette Santacruz, Fernando M. Trejo, & Yolanda Sanz. (2013). BifidobacteriumCECT 7765 improves metabolic and immunological alterations associated with obesity in high-fat diet-fed mice. Obesity. 21(11). 2310–2321. 171 indexed citations

13.

Carasi, Paula, Fernando M. Trejo, Pablo F. Pérez, Graciela L. De Antoni, & María de los Ángeles Serradell. (2011). Surface proteins from Lactobacillus kefir antagonize in vitro cytotoxic effect of Clostridium difficile toxins. Anaerobe. 18(1). 135–142. 65 indexed citations

14.

Trejo, Fernando M., et al.. (2011). [Comparison of diagnostic methods for Clostridium difficile-associated diarrhea].. PubMed. 42(3). 165–71. 3 indexed citations

15.

Trejo, Fernando M., Pablo F. Pérez, & Graciela L. De Antoni. (2010). Co-culture with potentially probiotic microorganisms antagonises virulence factors of Clostridium difficile in vitro. Antonie van Leeuwenhoek. 98(1). 19–29. 44 indexed citations

16.

Trejo, Fernando M., Jessica Minnaard, Pablo F. Pérez, & Graciela L. De Antoni. (2006). Inhibition of Clostridium difficile growth and adhesion to enterocytes by Bifidobacterium supernatants. Anaerobe. 12(4). 186–193. 62 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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