Mona Hoyos

434 total citations
10 papers, 265 citations indexed

About

Mona Hoyos is a scholar working on Infectious Diseases, Molecular Biology and Endocrinology. According to data from OpenAlex, Mona Hoyos has authored 10 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Molecular Biology and 4 papers in Endocrinology. Recurrent topics in Mona Hoyos's work include SARS-CoV-2 and COVID-19 Research (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Vibrio bacteria research studies (3 papers). Mona Hoyos is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Vibrio bacteria research studies (3 papers). Mona Hoyos collaborates with scholars based in Germany, United States and Switzerland. Mona Hoyos's co-authors include Kai Papenfort, Konrad U. Förstner, Michaela Huber, Armin Baiker, Alexandra Dangel, Carola Berger, Lena Mautner, Benjamin R. Wucher, Anja Ehrhardt and Carey D. Nadell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

Mona Hoyos

9 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mona Hoyos Germany	8	148	98	68	64	45	10	265
Hossinur Rahman Australia	6	91 0.6×	130 1.3×	45 0.7×	36 0.6×	36 0.8×	8	272
Sherin Kannoly United States	7	94 0.6×	77 0.8×	49 0.7×	140 2.2×	22 0.5×	8	231
Kathleen Verratti United States	9	124 0.8×	29 0.3×	61 0.9×	67 1.0×	22 0.5×	16	229
Daniel Ward United Kingdom	8	190 1.3×	65 0.7×	98 1.4×	16 0.3×	12 0.3×	13	265
Yaramah M. Zalucki Australia	12	244 1.6×	41 0.4×	123 1.8×	67 1.0×	24 0.5×	20	414
Ryan E. Schaub United States	9	182 1.2×	33 0.3×	116 1.7×	66 1.0×	29 0.6×	18	313
Marina A. Tyumentseva Russia	8	111 0.8×	69 0.7×	31 0.5×	24 0.4×	30 0.7×	25	222
Elena Puerta‐Fernández Spain	11	302 2.0×	35 0.4×	98 1.4×	93 1.5×	55 1.2×	21	402
Alexander M. Horspool United States	10	106 0.7×	67 0.7×	31 0.5×	21 0.3×	27 0.6×	12	250
Susan R. Steyert United States	8	90 0.6×	87 0.9×	52 0.8×	104 1.6×	169 3.8×	8	268

Countries citing papers authored by Mona Hoyos

Since Specialization

Citations

This map shows the geographic impact of Mona Hoyos'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 Mona Hoyos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Hoyos more than expected).

Fields of papers citing papers by Mona Hoyos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mona Hoyos. 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 Mona Hoyos. The network helps show where Mona Hoyos may publish in the future.

Co-authorship network of co-authors of Mona Hoyos

This figure shows the co-authorship network connecting the top 25 collaborators of Mona Hoyos. A scholar is included among the top collaborators of Mona Hoyos 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 Mona Hoyos. Mona Hoyos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Mautner, Lena, Mona Hoyos, Erwan Sallard, et al.. (2023). In Vitro Analysis of the Effect of SARS-CoV-2 Non-VOC and four Variants of Concern on MHC-Class-I Expression on Calu-3 and Caco-2 Cells. Genes. 14(7). 1348–1348. 3 indexed citations

Mautner, Lena, Mona Hoyos, Alexandra Dangel, et al.. (2022). Replication kinetics and infectivity of SARS-CoV-2 variants of concern in common cell culture models. Virology Journal. 19(1). 76–76. 61 indexed citations

Huber, Michaela, Sahar Melamed, Benjamin R. Wucher, et al.. (2022). An RNA sponge controls quorum sensing dynamics and biofilm formation in Vibrio cholerae. Nature Communications. 13(1). 7585–7585. 30 indexed citations

Mautner, Lena, et al.. (2022). Effect of farnesyltransferase inhibitors on SARS-CoV-2. Journal of Global Antimicrobial Resistance. 32. 164–166.

Venkat, K., Mona Hoyos, James R. J. Haycocks, et al.. (2021). A dual‐function RNA balances carbon uptake and central metabolism in Vibrio cholerae. The EMBO Journal. 40(24). e108542–e108542. 18 indexed citations

Mautner, Lena, Mona Hoyos, Maren Haase, et al.. (2021). Detection of the new SARS-CoV-2 variants of concern B.1.1.7 and B.1.351 in five SARS-CoV-2 rapid antigen tests (RATs), Germany, March 2021. Eurosurveillance. 26(16). 34 indexed citations

Mautner, Lena, Mona Hoyos, Maren Haase, et al.. (2021). In Vitro Rapid Antigen Test Performance with the SARS-CoV-2 Variants of Concern B.1.1.7 (Alpha), B.1.351 (Beta), P.1 (Gamma), and B.1.617.2 (Delta). Microorganisms. 9(9). 1967–1967. 13 indexed citations

Hoyos, Mona, Michaela Huber, Konrad U. Förstner, & Kai Papenfort. (2020). Gene autoregulation by 3’ UTR-derived bacterial small RNAs. eLife. 9. 44 indexed citations

Wucher, Benjamin R., et al.. (2019). Vibrio cholerae filamentation promotes chitin surface attachment at the expense of competition in biofilms. Proceedings of the National Academy of Sciences. 116(28). 14216–14221. 39 indexed citations

10.

Hoyos, Mona, et al.. (2019). A conserved RNA seed‐pairing domain directs small RNA‐mediated stress resistance in enterobacteria. The EMBO Journal. 38(16). e101650–e101650. 23 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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