Sergio Arredondo-Alonso
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 8
- Endocrinology top 2%
- Clinical Biochemistry top 2%
- Bacterial Identification and Susceptibility Testing 3
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus 6
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- Genomics and Phylogenetic Studies 13
- Gut microbiota and health 3
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- Plant Pathogenic Bacteria Studies 3
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- Bacteriophages and microbial interactions 3
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- Oral microbiology and periodontitis research 2
- Co-authors
- Rob J. L. WillemsAnita C. SchürchRichard V. GoeringWillem van SchaikJukka CoranderJanetta TopMalbert R. C. RogersJohanna C. Braat
- Partner nations
- United KingdomNetherlandsNorway
In The Last Decade
Sergio Arredondo-Alonso
17 papers receiving 902 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Molecular Medicine 409
- Endocrinology 215
- Clinical Biochemistry 191
- Infectious Diseases 228
- Applied Microbiology and Biotechnology 21
Countries citing papers authored by Sergio Arredondo-Alonso
This map shows the geographic impact of Sergio Arredondo-Alonso'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 Sergio Arredondo-Alonso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Arredondo-Alonso more than expected).
Fields of papers citing papers by Sergio Arredondo-Alonso
This network shows the impact of papers produced by Sergio Arredondo-Alonso. 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 Sergio Arredondo-Alonso. The network helps show where Sergio Arredondo-Alonso may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sergio Arredondo-Alonso, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 22 | |
| 9 | 2023 | 8 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 39 | |
| 12 | 2021 | 15 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 17 | |
| 15 | 2020 | 13 | |
| 16 | 2020 | 93 | |
| 17 | 2020 | 18 | |
| 18 | 2018 | 126 | |
| 19 | Whole genome sequencing options for bacterial strain typing and epidemiologic analysis based on single nucleotide polymorphism versus gene-by-gene–based approachesbreakdown → | 2018 | 335 |
| 20 | 2017 | 175 |
About Sergio Arredondo-Alonso
Sergio Arredondo-Alonso is a scholar working on Molecular Medicine, Clinical Biochemistry and Periodontics, having authored 20 papers that have together received 909 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Antibiotic Resistance in Bacteria (8 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial Identification and Susceptibility Testing (3 papers), Plant Pathogenic Bacteria Studies (3 papers), Bacteriophages and microbial interactions (3 papers), Gut microbiota and health (3 papers) and Oral microbiology and periodontitis research (2 papers). The work is most often cited by research in Molecular Medicine (409 citations), Endocrinology (215 citations) and Clinical Biochemistry (191 citations). Sergio Arredondo-Alonso has collaborated with scholars based in United Kingdom, Netherlands and Norway. Frequent co-authors include Rob J. L. Willems, Anita C. Schürch, Richard V. Goering, Willem van Schaik, Jukka Corander, Janetta Top, Malbert R. C. Rogers, Johanna C. Braat, Tess D. Verschuuren and Johan Pensar. Their work appears in journals such as Nature Communications, Bioinformatics and Genome Research.
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.