Pohl Milón
Impact in
- Genetics top 5%
- Bacterial Genetics and Biotechnology
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- CRISPR and Genetic Engineering
Papers in
-
- RNA and protein synthesis mechanisms 30
- RNA modifications and cancer 15
- CRISPR and Genetic Engineering 6
- RNA Research and Splicing 5
- Advanced biosensing and bioanalysis techniques 3
- Genetics 16
- Bacterial Genetics and Biotechnology 16
- Co-authors
- Marina V. Rodnina (10 shared papers)Claudio O. Gualerzi (12 shared papers)Andrey L. Konevega (6 shared papers)Attilio Fabbretti (15 shared papers)Cynthia L. Pon (6 shared papers)Cristina Maracci (2 shared papers)Marcello Carotti (2 shared papers)Frank Peske (1 shared paper)
In The Last Decade
Pohl Milón
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Genetics 453
- Molecular Biology 1.0k
- Molecular Medicine 40
- Ecology 153
- Endocrinology 27
Countries citing papers authored by Pohl Milón
This map shows the geographic impact of Pohl Milón'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 Pohl Milón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pohl Milón more than expected).
Fields of papers citing papers by Pohl Milón
This network shows the impact of papers produced by Pohl Milón. 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 Pohl Milón. The network helps show where Pohl Milón may publish in the future.
Co-authors
The 25 scholars most cited alongside Pohl Milón, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 135 | |
| 2 | 2007 | 106 | |
| 3 | 2008 | 104 | |
| 4 | 2011 | 92 | |
| 5 | 2012 | 88 | |
| 6 | 2012 | 81 | |
| 7 | 2010 | 79 | |
| 8 | 2012 | 43 | |
| 9 | 2015 | 41 | |
| 10 | 2020 | 39 | |
| 11 | 2007 | 38 | |
| 12 | 2021 | 28 | |
| 13 | 2022 | 28 | |
| 14 | 2016 | 22 | |
| 15 | 2012 | 21 | |
| 16 | 2018 | 16 | |
| 17 | 2019 | 16 | |
| 18 | 2012 | 15 | |
| 19 | 2009 | 15 | |
| 20 | 2010 | 14 |
About Pohl Milón
Pohl Milón is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Ecology and Public Health, Environmental and Occupational Health, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (30 papers), Bacterial Genetics and Biotechnology (16 papers), RNA modifications and cancer (15 papers), CRISPR and Genetic Engineering (6 papers), RNA Research and Splicing (5 papers), Tuberculosis Research and Epidemiology (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Genetics (453 citations), Molecular Biology (1.0k citations), Molecular Medicine (40 citations), Ecology (153 citations) and Endocrinology (27 citations). Pohl Milón has collaborated with scholars based in Italy, Peru and Germany. Frequent co-authors include Marina V. Rodnina, Claudio O. Gualerzi, Andrey L. Konevega, Attilio Fabbretti, Cynthia L. Pon, Cristina Maracci, Marcello Carotti, Frank Peske, Liudmila Filonava and Jerneja Tomšič. Their work appears in journals such as Nucleic Acids Research, Frontiers in Microbiology, Methods in enzymology on CD-ROM/Methods in enzymology, Scientific Reports and PLoS Biology.
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.