Tomás Aparicio
Impact in
- Genetics top 5%
- Bacterial Genetics and Biotechnology
- Biotechnology top 10%
Papers in
-
- CRISPR and Genetic Engineering 9
- Genomics and Phylogenetic Studies 3
- Microbial Metabolic Engineering and Bioproduction 3
- RNA and protein synthesis mechanisms 3
- Gene Regulatory Network Analysis 2
- Genetics 13
- Bacterial Genetics and Biotechnology 13
- Co-authors
- Vı́ctor de Lorenzo (16 shared papers)Esteban Martínez‐García (13 shared papers)Pablo I. Nikel (3 shared papers)Ángel Goñi‐Moreno (1 shared paper)Sofı́a Fraile (1 shared paper)Ákos Nyerges (3 shared papers)Alex Toftgaard Nielsen (1 shared paper)Sheila Ingemann Jensen (1 shared paper)
In The Last Decade
Tomás Aparicio
18 papers receiving 792 citations
Peers
Comparison fields: 5 of 54
- Genetics 325
- Biotechnology 87
- Molecular Biology 630
- Endocrinology 38
- Pharmacology 84
Countries citing papers authored by Tomás Aparicio
This map shows the geographic impact of Tomás Aparicio'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 Tomás Aparicio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomás Aparicio more than expected).
Fields of papers citing papers by Tomás Aparicio
This network shows the impact of papers produced by Tomás Aparicio. 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 Tomás Aparicio. The network helps show where Tomás Aparicio may publish in the future.
Co-authors
The 23 scholars most cited alongside Tomás Aparicio, 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 | 2014 | 200 | |
| 2 | 2014 | 159 | |
| 3 | 2017 | 100 | |
| 4 | 2005 | 64 | |
| 5 | 2016 | 53 | |
| 6 | 2019 | 32 | |
| 7 | 2020 | 32 | |
| 8 | 2017 | 31 | |
| 9 | 2018 | 24 | |
| 10 | 2016 | 24 | |
| 11 | 2019 | 17 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2021 | 9 | |
| 16 | 2019 | 7 | |
| 17 | 2000 | 4 | |
| 18 | 2014 | 1 |
About Tomás Aparicio
Tomás Aparicio is a scholar working on Molecular Biology, Genetics, Ecology, Environmental Engineering and Pharmacology, having authored 18 papers that have together received 796 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), CRISPR and Genetic Engineering (9 papers), Bacteriophages and microbial interactions (7 papers), Genomics and Phylogenetic Studies (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Microbial Fuel Cells and Bioremediation (3 papers), RNA and protein synthesis mechanisms (3 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Genetics (325 citations), Biotechnology (87 citations), Molecular Biology (630 citations), Endocrinology (38 citations) and Pharmacology (84 citations). Tomás Aparicio has collaborated with scholars based in Spain, Hungary and Denmark. Frequent co-authors include Vı́ctor de Lorenzo, Esteban Martínez‐García, Pablo I. Nikel, Ángel Goñi‐Moreno, Sofı́a Fraile, Ákos Nyerges, Alex Toftgaard Nielsen, Sheila Ingemann Jensen, Csaba Pál and José L. Garcı́a. Their work appears in journals such as Microbial Biotechnology, Biotechnology Journal, Microbial Cell Factories, iScience and Molecular 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.