Pablo Mier
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- Mitochondrial Function and Pathology
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- Genetic Neurodegenerative Diseases
Papers in
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- RNA and protein synthesis mechanisms 19
- Genomics and Phylogenetic Studies 17
- Protein Structure and Dynamics 8
- Fungal and yeast genetics research 7
- RNA Research and Splicing 7
- Machine Learning in Bioinformatics 6
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- Genetic Neurodegenerative Diseases 13
- Co-authors
- Miguel A. Andrade‐Navarro (48 shared papers)Gregorio Alanis‐Lobato (6 shared papers)Vasilis J. Promponas (5 shared papers)Aleksandra Gruca (3 shared papers)Marcin Grynberg (3 shared papers)Patryk Jarnot (2 shared papers)Alex Bateman (2 shared papers)Pau Bernadó (6 shared papers)
In The Last Decade
Pablo Mier
49 papers receiving 959 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 703
- Cellular and Molecular Neuroscience 140
- Statistical and Nonlinear Physics 62
- Aging 8
- Horticulture 3
Countries citing papers authored by Pablo Mier
This map shows the geographic impact of Pablo Mier'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 Pablo Mier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Mier more than expected).
Fields of papers citing papers by Pablo Mier
This network shows the impact of papers produced by Pablo Mier. 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 Pablo Mier. The network helps show where Pablo Mier may publish in the future.
Co-authors
The 25 scholars most cited alongside Pablo Mier, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 211 | |
| 2 | 2020 | 79 | |
| 3 | 2019 | 78 | |
| 4 | 2020 | 58 | |
| 5 | 2016 | 52 | |
| 6 | 2020 | 47 | |
| 7 | 2017 | 38 | |
| 8 | 2017 | 35 | |
| 9 | 2016 | 31 | |
| 10 | 2018 | 28 | |
| 11 | 2018 | 25 | |
| 12 | 2020 | 20 | |
| 13 | 2020 | 20 | |
| 14 | 2021 | 16 | |
| 15 | 2018 | 16 | |
| 16 | 2022 | 14 | |
| 17 | 2022 | 13 | |
| 18 | 2016 | 13 | |
| 19 | 2016 | 12 | |
| 20 | 2021 | 11 |
About Pablo Mier
Pablo Mier is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Spectroscopy, Genetics and Materials Chemistry, having authored 51 papers that have together received 968 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (19 papers), Genomics and Phylogenetic Studies (17 papers), Genetic Neurodegenerative Diseases (13 papers), Advanced Proteomics Techniques and Applications (9 papers), Protein Structure and Dynamics (8 papers), Fungal and yeast genetics research (7 papers), RNA Research and Splicing (7 papers) and Machine Learning in Bioinformatics (6 papers). The work is most often cited by research in Molecular Biology (703 citations), Cellular and Molecular Neuroscience (140 citations), Statistical and Nonlinear Physics (62 citations), Aging (8 citations) and Horticulture (3 citations). Pablo Mier has collaborated with scholars based in Germany, Spain and France. Frequent co-authors include Miguel A. Andrade‐Navarro, Gregorio Alanis‐Lobato, Vasilis J. Promponas, Aleksandra Gruca, Marcin Grynberg, Patryk Jarnot, Alex Bateman, Pau Bernadó, Andrey V. Kajava and Kjetill S. Jakobsen. Their work appears in journals such as PLoS ONE, Biomolecules, Bioinformatics, Journal of Structural Biology and Computational and Structural Biotechnology Journal.
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.