Olivo Miotto

14.4k total citations · 1 hit paper
38 papers, 2.0k citations indexed

About

Olivo Miotto is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Olivo Miotto has authored 38 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Public Health, Environmental and Occupational Health, 12 papers in Molecular Biology and 12 papers in Computational Theory and Mathematics. Recurrent topics in Olivo Miotto's work include Malaria Research and Control (26 papers), Mosquito-borne diseases and control (16 papers) and Computational Drug Discovery Methods (12 papers). Olivo Miotto is often cited by papers focused on Malaria Research and Control (26 papers), Mosquito-borne diseases and control (16 papers) and Computational Drug Discovery Methods (12 papers). Olivo Miotto collaborates with scholars based in Thailand, United Kingdom and United States. Olivo Miotto's co-authors include Tin Wee Tan, Vladimir Brusić, J. Thomas August, A. T. Heiny, Rick M. Fairhurst, Dominic Kwiatkowski, Chanaki Amaratunga, Arjen M. Dondorp, Asif M. Khan and Pharath Lim and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Virology.

In The Last Decade

Olivo Miotto

35 papers receiving 2.0k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The spread of artemisinin-resistant Plasmodium falciparum in the Greater Mekong subregion: a molecular epidemiology observational study

2017 297 citations Mallika Imwong, Kanokon Suwannasin et al. The Lancet Infectious Diseases profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Olivo Miotto Thailand	23	1.4k	499	497	487	295	38	2.0k
Nina F. Gnädig United States	15	1.3k 0.9×	324 0.6×	399 0.8×	511 1.0×	347 1.2×	20	1.8k
Katharine R. Trenholme Australia	33	2.1k 1.5×	460 0.9×	730 1.5×	234 0.5×	343 1.2×	75	3.0k
Sarah K. Volkman United States	33	2.7k 1.9×	357 0.7×	623 1.3×	446 0.9×	389 1.3×	92	3.3k
Mahamadou A. Théra Mali	32	2.0k 1.4×	367 0.7×	401 0.8×	212 0.4×	306 1.0×	99	2.7k
Daouda Ndiaye Senegal	31	2.2k 1.6×	500 1.0×	338 0.7×	330 0.7×	458 1.6×	154	3.0k
Toshihiro Mita Japan	22	1.6k 1.1×	263 0.5×	273 0.5×	405 0.8×	244 0.8×	87	2.0k
William O. Rogers United States	30	1.5k 1.1×	369 0.7×	507 1.0×	153 0.3×	225 0.8×	60	2.2k
M. Abul Faiz Bangladesh	10	847 0.6×	295 0.6×	185 0.4×	91 0.2×	336 1.1×	14	1.3k
Zhaoqing Yang China	26	1.6k 1.1×	159 0.3×	145 0.3×	245 0.5×	245 0.8×	82	1.8k
Gary H. Campbell United States	27	1.9k 1.3×	442 0.9×	449 0.9×	167 0.3×	272 0.9×	67	2.8k

Countries citing papers authored by Olivo Miotto

Since Specialization

Citations

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

Fields of papers citing papers by Olivo Miotto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivo Miotto

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

All Works

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20 of 20 papers shown

Koné, Aminatou, Antoine Dara, Amed Ouattara, et al.. (2022). Genome-wide SNP analysis of Plasmodium falciparum shows differentiation at drug-resistance-associated loci among malaria transmission settings in southern Mali. Frontiers in Genetics. 13. 943445–943445. 6 indexed citations

Itkin, Zina, Lu Chen, Gergely Zahoránszky-Köhalmi, et al.. (2020). Modulation of Triple Artemisinin-Based Combination Therapy Pharmacodynamics by Plasmodium falciparum Genotype. ACS Pharmacology & Translational Science. 3(6). 1144–1157. 7 indexed citations

Miotto, Olivo, R. van der Pluijm, Lorenz von Seidlein, et al.. (2018). TRAVEL PATTERNS OF PATIENTS WITH MALARIA IN THE GREATER MEKONG SUBREGION AND NEIGHBORING COUNTRIES IN SOUTH ASIA. American Journal of Tropical Medicine and Hygiene. 99. 14–14. 1 indexed citations

Kochakarn, Theerarat, Charin Modchang, Krittikorn Kümpornsin, et al.. (2018). Fitness Loss under Amino Acid Starvation in Artemisinin-Resistant Plasmodium falciparum Isolates from Cambodia. Scientific Reports. 8(1). 20 indexed citations

Nsanzabana, Christian, Frédéric Ariey, Hans‐Peter Beck, et al.. (2018). Molecular assays for antimalarial drug resistance surveillance: A target product profile. PLoS ONE. 13(9). e0204347–e0204347. 25 indexed citations

Auburn, Sarah, Ernest Diez Benavente, Olivo Miotto, et al.. (2018). Genomic analysis of a pre-elimination Malaysian Plasmodium vivax population reveals selective pressures and changing transmission dynamics. Nature Communications. 9(1). 2585–2585. 39 indexed citations

Amato, Roberto, Richard D. Pearson, Jacob Almagro‐Garcia, et al.. (2018). Origins of the current outbreak of multidrug-resistant malaria in southeast Asia: a retrospective genetic study. The Lancet Infectious Diseases. 18(3). 337–345. 102 indexed citations

Mukherjee, Angana, Selina Bopp, Pamela Magistrado, et al.. (2017). Artemisinin resistance without pfkelch13 mutations in Plasmodium falciparum isolates from Cambodia. Malaria Journal. 16(1). 195–195. 78 indexed citations

Apinjoh, Tobias O., Regina N. Mugri, Olivo Miotto, et al.. (2017). Molecular markers for artemisinin and partner drug resistance in natural Plasmodium falciparum populations following increased insecticide treated net coverage along the slope of mount Cameroon: cross-sectional study. Infectious Diseases of Poverty. 6(1). 136–136. 29 indexed citations

10.

Imwong, Mallika, Kanokon Suwannasin, Chanon Kunasol, et al.. (2017). The spread of artemisinin-resistant Plasmodium falciparum in the Greater Mekong subregion: a molecular epidemiology observational study. The Lancet Infectious Diseases. 17(5). 491–497. 297 indexed citations breakdown →

11.

Miotto, Olivo, Pharath Lim, Rick M. Fairhurst, et al.. (2016). Analysis of anti-malarial resistance markers in pfmdr1 and pfcrt across Southeast Asia in the Tracking Resistance to Artemisinin Collaboration. Malaria Journal. 15(1). 325–325. 19 indexed citations

12.

Auburn, Sarah, David Serre, Richard D. Pearson, et al.. (2016). Genomic Analysis Reveals a Common Breakpoint in Amplifications of thePlasmodium vivaxMultidrug Resistance 1 Locus in Thailand. The Journal of Infectious Diseases. 214(8). 1235–1242. 20 indexed citations

13.

Lim, Pharath, Richard T. Eastman, Sophy Chy, et al.. (2013). Ex Vivo Susceptibility of Plasmodium falciparum to Antimalarial Drugs in Western, Northern, and Eastern Cambodia, 2011-2012: Association with Molecular Markers. Antimicrobial Agents and Chemotherapy. 57(11). 5277–5283. 30 indexed citations

14.

Jung, Keun‐Ok, Asif M. Khan, Yongli Hu, et al.. (2012). West Nile Virus T-Cell Ligand Sequences Shared with Other Flaviviruses: a Multitude of Variant Sequences as Potential Altered Peptide Ligands. Journal of Virology. 86(14). 7616–7624. 17 indexed citations

15.

Miotto, Olivo, A. T. Heiny, Randy A. Albrecht, et al.. (2010). Complete-Proteome Mapping of Human Influenza A Adaptive Mutations: Implications for Human Transmissibility of Zoonotic Strains. PLoS ONE. 5(2). e9025–e9025. 74 indexed citations

16.

Heiny, A. T., Olivo Miotto, Jérôme Salmon, et al.. (2010). Conservation and Diversity of Influenza A H1N1 HLA-Restricted T Cell Epitope Candidates for Epitope-Based Vaccines. PLoS ONE. 5(1). e8754–e8754. 42 indexed citations

17.

Khan, Asif M., Olivo Miotto, Eduardo J. M. Nascimento, et al.. (2008). Conservation and Variability of Dengue Virus Proteins: Implications for Vaccine Design. PLoS neglected tropical diseases. 2(8). e272–e272. 83 indexed citations

18.

Miotto, Olivo, Tin Wee Tan, & Vladimir Brusić. (2008). Rule-based knowledge aggregation for large-scale protein sequence analysis of influenza A viruses. BMC Bioinformatics. 9(S1). S7–S7. 24 indexed citations

19.

Miotto, Olivo, A. T. Heiny, Tin Wee Tan, J. Thomas August, & Vladimir Brusić. (2008). Identification of human-to-human transmissibility factors in PB2 proteins of influenza A by large-scale mutual information analysis. BMC Bioinformatics. 9(S1). S18–S18. 88 indexed citations

20.

Khan, Asif M., Olivo Miotto, A. T. Heiny, et al.. (2006). A systematic bioinformatics approach for selection of epitope-based vaccine targets. Cellular Immunology. 244(2). 141–147. 75 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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