Enrique Querol
Impact in
- Microbiology top 0.5%
- Microbial infections and disease research
- Biotechnology top 0.5%
- Enzyme Production and Characterization
Papers in
- Microbiology 28
- Microbial infections and disease research 25
-
- Enzyme Production and Characterization 18
- Co-authors
- Francesc AvilésJosep A. Pérez-PonsJuan CedanoJaume PiñolPatrick AloyMichael J.E. SternbergÁngel Mozo-VillariasBaldomero Oliva
- Journals
- Journal of Molecular Biology (9 papers)Molecular Microbiology (7 papers)Journal of Biological Chemistry (6 papers)PLoS ONE (6 papers)Biochemical and Biophysical Research Communications (5 papers)
- Partner nations
- SpainGermanyUnited Kingdom
In The Last Decade
Enrique Querol
150 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 122
- Microbiology 575
- Biotechnology 521
- Molecular Biology 2.5k
- Hematology 182
- Parasitology 96
Countries citing papers authored by Enrique Querol
This map shows the geographic impact of Enrique Querol'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 Enrique Querol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrique Querol more than expected).
Fields of papers citing papers by Enrique Querol
This network shows the impact of papers produced by Enrique Querol. 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 Enrique Querol. The network helps show where Enrique Querol may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Enrique Querol, 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 | 2023 | 5 | |
| 2 | 2023 | 7 | |
| 3 | 2020 | 23 | |
| 4 | 2019 | 9 | |
| 5 | 2018 | 32 | |
| 6 | 2015 | 22 | |
| 7 | 2014 | 8 | |
| 8 | 2013 | 52 | |
| 9 | 2012 | 19 | |
| 10 | 2011 | 26 | |
| 11 | 2010 | 1 | |
| 12 | 2009 | 5 | |
| 13 | 2006 | 10 | |
| 14 | 2003 | 26 | |
| 15 | 1999 | 6 | |
| 16 | 1997 | 349 | |
| 17 | 1995 | 6 | |
| 18 | 1991 | 64 | |
| 19 | 1991 | 6 | |
| 20 | 1980 | 3 |
About Enrique Querol
Enrique Querol is a scholar working on Microbiology, Biotechnology, Molecular Biology, Parasitology and Hematology, having authored 155 papers that have together received 3.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (40 papers), Microbial infections and disease research (25 papers), Enzyme Structure and Function (22 papers), RNA and protein synthesis mechanisms (20 papers), Enzyme Production and Characterization (18 papers), Machine Learning in Bioinformatics (17 papers), Genomics and Phylogenetic Studies (13 papers) and Microbial Metabolites in Food Biotechnology (12 papers). The work is most often cited by research in Microbiology (575 citations), Biotechnology (521 citations), Molecular Biology (2.5k citations), Hematology (182 citations) and Parasitology (96 citations). Enrique Querol has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Francesc Avilés, Josep A. Pérez-Pons, Juan Cedano, Jaume Piñol, Patrick Aloy, Michael J.E. Sternberg, Ángel Mozo-Villarias, Baldomero Oliva, Òscar Q. Pich and Antoni Planas. Their work appears in journals such as Journal of Molecular Biology, Molecular Microbiology, Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research Communications.
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.