Pohl Milón

1.6k total citations
34 papers, 1.1k citations indexed

About

Pohl Milón is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Pohl Milón has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 16 papers in Genetics and 6 papers in Infectious Diseases. Recurrent topics in Pohl Milón's work include RNA and protein synthesis mechanisms (29 papers), Bacterial Genetics and Biotechnology (16 papers) and RNA modifications and cancer (14 papers). Pohl Milón is often cited by papers focused on RNA and protein synthesis mechanisms (29 papers), Bacterial Genetics and Biotechnology (16 papers) and RNA modifications and cancer (14 papers). Pohl Milón collaborates with scholars based in Italy, Peru and Germany. Pohl Milón's 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 Enrico Caserta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Pohl Milón

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pohl Milón Italy 16 1.0k 456 155 64 49 34 1.1k
Gloria M. Culver United States 24 1.6k 1.6× 425 0.9× 111 0.7× 72 1.1× 55 1.1× 47 1.7k
Jaanus Rèmme Estonia 24 1.7k 1.7× 512 1.1× 226 1.5× 56 0.9× 41 0.8× 67 1.8k
Bertrand Beckert Germany 19 896 0.9× 240 0.5× 175 1.1× 30 0.5× 72 1.5× 32 1.0k
Kevin S. Wilson United States 13 849 0.8× 231 0.5× 109 0.7× 36 0.6× 46 0.9× 18 965
Oliver Vesper Austria 12 609 0.6× 333 0.7× 157 1.0× 35 0.5× 69 1.4× 14 760
Stephan Wickles Germany 10 733 0.7× 230 0.5× 131 0.8× 88 1.4× 46 0.9× 10 881
Hans Uffe Sperling‐Petersen Denmark 19 1.1k 1.1× 448 1.0× 190 1.2× 87 1.4× 53 1.1× 42 1.2k
Christine D. Hardy United States 8 730 0.7× 386 0.8× 225 1.5× 21 0.3× 36 0.7× 12 861
Steven T. Gregory United States 22 1.4k 1.4× 462 1.0× 156 1.0× 71 1.1× 108 2.2× 55 1.6k
M.A. Borovinskaya United States 4 1.5k 1.5× 452 1.0× 175 1.1× 88 1.4× 79 1.6× 5 1.7k

Countries citing papers authored by Pohl Milón

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Pohl Milón

This figure shows the co-authorship network connecting the top 25 collaborators of Pohl Milón. A scholar is included among the top collaborators of Pohl Milón based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pohl Milón. Pohl Milón is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Safdari, Haaris Ahsan, Helge Paternoga, Anna Maria Giuliodori, et al.. (2025). The translation inhibitors kasugamycin, edeine and GE81112 target distinct steps during 30S initiation complex formation. Nature Communications. 16(1). 2470–2470.
2.
Craggs, Timothy D., et al.. (2021). The stringent response inhibits 70S ribosome formation in Staphylococcus aureus by impeding GTPase-ribosome interactions. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 7 indexed citations
3.
Adaui, Vanessa, et al.. (2021). UnCovid: A versatile, low-cost, and open-source protocol for SARS-CoV-2 RNA detection. STAR Protocols. 2(4). 100878–100878. 4 indexed citations
4.
Adaui, Vanessa, et al.. (2021). A low-cost and open-source protocol to produce key enzymes for molecular detection assays. STAR Protocols. 2(4). 100899–100899. 3 indexed citations
5.
Martins-Luna, Johanna, et al.. (2021). Unlocking SARS-CoV-2 detection in low- and middle-income countries. Cell Reports Methods. 1(7). 100093–100093. 12 indexed citations
6.
Konevega, Andrey L., et al.. (2021). The dynamic cycle of bacterial translation initiation factor IF3. Nucleic Acids Research. 49(12). 6958–6970. 9 indexed citations
7.
Ghane, Tahereh, Pohl Milón, Petra Imhof, et al.. (2021). Long-range allostery mediates cooperative adenine nucleotide binding by the Ski2-like RNA helicase Brr2. Journal of Biological Chemistry. 297(1). 100829–100829. 2 indexed citations
8.
Maksimova, Elena, et al.. (2020). How the initiating ribosome copes with ppGpp to translate mRNAs. PLoS Biology. 18(1). e3000593–e3000593. 35 indexed citations
9.
Milón, Pohl, et al.. (2019). DNA aptamers for the recognition of HMGB1 from Plasmodium falciparum. PLoS ONE. 14(4). e0211756–e0211756. 15 indexed citations
10.
Giuliodori, Anna Maria, Roberto Spurio, Pohl Milón, & Attilio Fabbretti. (2018). Antibiotics Targeting the 30S Ribosomal Subunit: A Lesson from Nature to Find and Develop New Drugs. Current Topics in Medicinal Chemistry. 18(24). 2080–2096. 15 indexed citations
11.
Kaminishi, Tatsuya, Andreas Schedlbauer, Attilio Fabbretti, et al.. (2015). Crystallographic characterization of the ribosomal binding site and molecular mechanism of action of Hygromycin A. Nucleic Acids Research. 43(20). gkv975–gkv975. 12 indexed citations
12.
Milón, Pohl & Marina V. Rodnina. (2012). Kinetic control of translation initiation in bacteria. Critical Reviews in Biochemistry and Molecular Biology. 47(4). 334–348. 86 indexed citations
13.
Brandi, Letizia, Sonia I. Maffioli, Stefano Donadio, et al.. (2012). Structural and functional characterization of the bacterial translocation inhibitor GE82832. FEBS Letters. 586(19). 3373–3378. 21 indexed citations
14.
Fabbretti, Attilio, Letizia Brandi, Pohl Milón, et al.. (2012). Translation initiation without IF2-dependent GTP hydrolysis. Nucleic Acids Research. 40(16). 7946–7955. 9 indexed citations
15.
Milón, Pohl, Marcello Carotti, Andrey L. Konevega, et al.. (2010). The ribosome‐bound initiation factor 2 recruits initiator tRNA to the 30S initiation complex. EMBO Reports. 11(4). 312–316. 79 indexed citations
16.
Milón, Pohl, Andrey L. Konevega, Claudio O. Gualerzi, & Marina V. Rodnina. (2008). Kinetic Checkpoint at a Late Step in Translation Initiation. Molecular Cell. 30(6). 712–720. 104 indexed citations
17.
Milón, Pohl, Andrey L. Konevega, Frank Peske, et al.. (2007). Transient Kinetics, Fluorescence, and FRET in Studies of Initiation of Translation in Bacteria. Methods in enzymology on CD-ROM/Methods in enzymology. 430. 1–30. 103 indexed citations
18.
Fabbretti, Attilio, Pohl Milón, Anna Maria Giuliodori, Claudio O. Gualerzi, & Cynthia L. Pon. (2007). Real-Time Dynamics of Ribosome-Ligand Interaction by Time-Resolved Chemical Probing Methods. Methods in enzymology on CD-ROM/Methods in enzymology. 430. 45–58. 11 indexed citations
19.
Brandi, Letizia, Attilio Fabbretti, Pohl Milón, et al.. (2007). Methods for Identifying Compounds that Specifically Target Translation. Methods in enzymology on CD-ROM/Methods in enzymology. 431. 229–267. 38 indexed citations
20.
Fabbretti, Attilio, et al.. (1957). Novobiocin-penicillin combinations. II. Broadened spectrum of activity of combinations of novobiocin and penicillin.. PubMed. 5(4). 38–42. 13 indexed citations

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.

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