Pol Huedo
Impact in
- Endocrinology top 2%
- Infections and bacterial resistance
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Bacterial biofilms and quorum sensing 14
- Gut microbiota and health 5
- Food Science 16
- Probiotics and Fermented Foods 9
- Salmonella and Campylobacter epidemiology 6
- Co-authors
- Isidre Gibert (14 shared papers)Daniel Yero (14 shared papers)Xavier Daura (12 shared papers)Nerea Roher (3 shared papers)Jordi Espadaler (10 shared papers)M. Pontello (8 shared papers)María Gori (8 shared papers)Raquel Planell (3 shared papers)
- Journals
- Frontiers in Microbiology (4 papers)Frontiers in Cellular and Infection Microbiology (3 papers)Foodborne Pathogens and Disease (2 papers)PLoS ONE (2 papers)Applied and Environmental Microbiology (2 papers)
- Partner nations
- SpainItalyUnited States
In The Last Decade
Pol Huedo
34 papers receiving 548 citations
Peers
Comparison fields: 5 of 74
- Endocrinology 230
- Molecular Medicine 52
- Biotechnology 78
- Food Science 127
- Molecular Biology 313
Countries citing papers authored by Pol Huedo
This map shows the geographic impact of Pol Huedo'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 Pol Huedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pol Huedo more than expected).
Fields of papers citing papers by Pol Huedo
This network shows the impact of papers produced by Pol Huedo. 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 Pol Huedo. The network helps show where Pol Huedo may publish in the future.
Co-authors
The 25 scholars most cited alongside Pol Huedo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 57 | |
| 2 | 2015 | 43 | |
| 3 | 2018 | 41 | |
| 4 | 2015 | 40 | |
| 5 | 2017 | 36 | |
| 6 | 2013 | 32 | |
| 7 | 2018 | 29 | |
| 8 | 2020 | 28 | |
| 9 | 2017 | 24 | |
| 10 | 2022 | 21 | |
| 11 | 2019 | 20 | |
| 12 | 2024 | 20 | |
| 13 | 2022 | 19 | |
| 14 | 2024 | 17 | |
| 15 | 2016 | 13 | |
| 16 | 2020 | 11 | |
| 17 | 2016 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2022 | 8 | |
| 20 | 2021 | 8 |
About Pol Huedo
Pol Huedo is a scholar working on Molecular Biology, Food Science, Endocrinology, Biotechnology and Genetics, having authored 34 papers that have together received 551 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (14 papers), Infections and bacterial resistance (13 papers), Probiotics and Fermented Foods (9 papers), Salmonella and Campylobacter epidemiology (6 papers), Listeria monocytogenes in Food Safety (6 papers), Gut microbiota and health (5 papers), Plant Pathogenic Bacteria Studies (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Endocrinology (230 citations), Molecular Medicine (52 citations), Biotechnology (78 citations), Food Science (127 citations) and Molecular Biology (313 citations). Pol Huedo has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Isidre Gibert, Daniel Yero, Xavier Daura, Nerea Roher, Jordi Espadaler, M. Pontello, María Gori, Raquel Planell, Ettore Amato and Àngels Ruyra. Their work appears in journals such as Frontiers in Microbiology, Frontiers in Cellular and Infection Microbiology, Foodborne Pathogens and Disease, PLoS ONE and Applied and Environmental Microbiology.
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.