María Suárez‐Diez
- Molecular Biology top 5%
- Microbial Metabolic Engineering and Bioproduction 47
- Bioinformatics and Genomic Networks 12
- Enzyme Catalysis and Immobilization 9
- Gene Regulatory Network Analysis 8
- Genomics and Phylogenetic Studies 7
- Gut microbiota and health 7
- Metabolomics and Mass Spectrometry Studies 6
- Endocrinology top 5%
- Pollution top 5%
- Ecology top 5%
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- Biofuel production and bioconversion 24
- Co-authors
- Vítor A. P. Martins dos SantosPeter J. SchaapEdoardo SaccentiManuel FerrerRafael BargielaStan J. J. BrounsTim KünneHauke Smidt
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Molecular Cell (1 paper)Bioinformatics (1 paper)
- Partner nations
- NetherlandsGermanySpain
In The Last Decade
María Suárez‐Diez
93 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 152
- Molecular Biology 1.6k
- Business and International Management 32
- Endocrinology 83
- Pollution 154
- Ecology 330
Countries citing papers authored by María Suárez‐Diez
This map shows the geographic impact of María Suárez‐Diez'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 María Suárez‐Diez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Suárez‐Diez more than expected).
Fields of papers citing papers by María Suárez‐Diez
This network shows the impact of papers produced by María Suárez‐Diez. 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 María Suárez‐Diez. The network helps show where María Suárez‐Diez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside María Suárez‐Diez, 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 | 1 | |
| 3 | 2025 | 4 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 22 | |
| 8 | 2022 | 28 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 23 | |
| 13 | 2021 | 24 | |
| 14 | 2021 | 5 | |
| 15 | 2020 | 17 | |
| 16 | 2020 | 30 | |
| 17 | 2019 | 71 | |
| 18 | 2019 | 27 | |
| 19 | 2018 | 52 | |
| 20 | 2017 | 7 |
About María Suárez‐Diez
María Suárez‐Diez is a scholar working on Molecular Biology, Biomedical Engineering and Clinical Biochemistry, having authored 96 papers that have together received 2.6k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (47 papers), Biofuel production and bioconversion (24 papers), Bioinformatics and Genomic Networks (12 papers), Enzyme Catalysis and Immobilization (9 papers), Gene Regulatory Network Analysis (8 papers), Genomics and Phylogenetic Studies (7 papers), Gut microbiota and health (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Business and International Management (32 citations) and Endocrinology (83 citations). María Suárez‐Diez has collaborated with scholars based in Netherlands, Germany and Spain. Frequent co-authors include Vítor A. P. Martins dos Santos, Peter J. Schaap, Edoardo Saccenti, Manuel Ferrer, Rafael Bargiela, Stan J. J. Brouns, Tim Künne, Hauke Smidt, Sergio Ciordia and Willem M. de Vos. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Bioinformatics.
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.