Paolo Miotto

4.8k total citations
49 papers, 1.8k citations indexed

About

Paolo Miotto is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Paolo Miotto has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Infectious Diseases, 37 papers in Epidemiology and 16 papers in Molecular Biology. Recurrent topics in Paolo Miotto's work include Tuberculosis Research and Epidemiology (44 papers), Mycobacterium research and diagnosis (36 papers) and Antibiotic Resistance in Bacteria (6 papers). Paolo Miotto is often cited by papers focused on Tuberculosis Research and Epidemiology (44 papers), Mycobacterium research and diagnosis (36 papers) and Antibiotic Resistance in Bacteria (6 papers). Paolo Miotto collaborates with scholars based in Italy, United States and Germany. Paolo Miotto's co-authors include Daniela María Cirillo, Andrea Maurizio Cabibbe, Stefan Niemann, Giovanni Battista Migliori, Silke Feuerriegel, Claudio U. Köser, Emanuele Borroni, Alessandro Ambrosi, Thomas A. Kohl and Massimo Degano and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Immunity.

In The Last Decade

Paolo Miotto

49 papers receiving 1.7k citations

Peers

Paolo Miotto

EPIDE

SURGE

Jun Yue China

Anita G. Amin United States

Bingdong Zhu China

C.J. Cambier United States

Louis Wilson Netherlands

Andrés Obregón‐Henao United States

Alissa C. Rothchild United States

Luis F. Barrera Colombia

Domingo Palmero Argentina

Santosh Pawar United States

Jun Yue China

Paolo Miotto

667 ×0.5

554 ×0.4

EPIDE

328 ×0.6

220 ×0.5

SURGE

43 ×0.2

Citations per year, relative to Paolo Miotto Paolo Miotto (= 1×) peers Jun Yue

Countries citing papers authored by Paolo Miotto

Since Specialization

Citations

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

Fields of papers citing papers by Paolo Miotto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Miotto

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Miotto. A scholar is included among the top collaborators of Paolo 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 Paolo Miotto. Paolo 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

Laurent, Sacha, Paolo Miotto, A Sarah Walker, et al.. (2025). Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis. Nature Communications. 16(1). 2149–2149. 1 indexed citations

Miotto, Paolo, Daniela María Cirillo, Thomas Schön, & Claudio U. Köser. (2024). The exceptions that prove the rule—a historical view of bedaquiline susceptibility. Genome Medicine. 16(1). 39–39. 2 indexed citations

Utpatel, Christian, Ana Esteve‐Solé, Laia Alsina, et al.. (2024). Prison as a driver of recent transmissions of multidrug-resistant tuberculosis in Callao, Peru: a cross-sectional study. The Lancet Regional Health - Americas. 31. 100674–100674. 5 indexed citations

MacLean, Emily, Paolo Miotto, Licé González-Angulo, et al.. (2023). Updating the WHO target product profile for next-generation Mycobacterium tuberculosis drug susceptibility testing at peripheral centres. SHILAP Revista de lepidopterología. 3(3). e0001754–e0001754. 18 indexed citations

Vilchèze, Catherine, Jim Werngren, Arnold Bainomugisa, et al.. (2023). Loss-of-function mutations in ndh do not confer delamanid, ethionamide, isoniazid, or pretomanid resistance in Mycobacterium tuberculosis. Antimicrobial Agents and Chemotherapy. 68(1). e0109623–e0109623. 2 indexed citations

Georghiou, Sophia B., Margaretha de Vos, Kavindhran Velen, et al.. (2023). Designing molecular diagnostics for current tuberculosis drug regimens. Emerging Microbes & Infections. 12(1). 2178243–2178243. 12 indexed citations

Miotto, Paolo, et al.. (2022). Transcriptional regulation and drug resistance in Mycobacterium tuberculosis. Frontiers in Cellular and Infection Microbiology. 12. 990312–990312. 15 indexed citations

Vargas, Roger, Luca Freschi, Andrea Spitaleri, et al.. (2021). Role of Epistasis in Amikacin, Kanamycin, Bedaquiline, and Clofazimine Resistance in Mycobacterium tuberculosis Complex. Antimicrobial Agents and Chemotherapy. 65(11). e0116421–e0116421. 38 indexed citations

Barbiera, Giulia, Nicoletta Caronni, Elisa Montaldo, et al.. (2021). A PGE2-MEF2A axis enables context-dependent control of inflammatory gene expression. Immunity. 54(8). 1665–1682.e14. 34 indexed citations

10.

Köser, Claudio U., Daniela María Cirillo, & Paolo Miotto. (2020). How To Optimally Combine Genotypic and Phenotypic Drug Susceptibility Testing Methods for Pyrazinamide. Antimicrobial Agents and Chemotherapy. 64(9). 15 indexed citations

11.

Riva, Camilla, Enrico Tortoli, Federica Cugnata, et al.. (2020). A New Model of Chronic Mycobacterium abscessus Lung Infection in Immunocompetent Mice. International Journal of Molecular Sciences. 21(18). 6590–6590. 20 indexed citations

12.

Driesen, Michèle, Yuji Kondo, Bouke C. de Jong, et al.. (2017). Evaluation of a novel line probe assay to detect resistance to pyrazinamide, a key drug used for tuberculosis treatment. Clinical Microbiology and Infection. 24(1). 60–64. 18 indexed citations

13.

Cirillo, Daniela María, Paolo Miotto, & Elisa Tagliani. (2016). Reaching consensus on drug resistance conferring mutations. International Journal of Mycobacteriology. 5. S33–S33. 7 indexed citations

14.

Salamon, Hugh, Ken Yamaguchi, Daniela María Cirillo, et al.. (2015). Integration of Published Information Into a Resistance-Associated Mutation Database for Mycobacterium tuberculosis. The Journal of Infectious Diseases. 211(suppl_2). S50–S57. 26 indexed citations

15.

Miotto, Paolo, Daniela María Cirillo, & Giovanni Battista Migliori. (2015). Drug Resistance inMycobacterium tuberculosis. CHEST Journal. 147(4). 1135–1143. 43 indexed citations

16.

Miotto, Paolo, Grace Mwangoka, Giovanni Sotgiu, et al.. (2013). miRNA Signatures in Sera of Patients with Active Pulmonary Tuberculosis. PLoS ONE. 8(11). e80149–e80149. 72 indexed citations

17.

Viegas, Sofía, Adelina Machado, Ramona Groenheit, et al.. (2013). Mycobacterium tuberculosis Beijing Genotype Is Associated with HIV Infection in Mozambique. PLoS ONE. 8(8). e71999–e71999. 22 indexed citations

18.

Miotto, Paolo, Francesca Forti, Alessandro Ambrosi, et al.. (2012). Genome-Wide Discovery of Small RNAs in Mycobacterium tuberculosis. PLoS ONE. 7(12). e51950–e51950. 60 indexed citations

19.

Cirillo, Daniela María, Andrea Maurizio Cabibbe, Paolo Miotto, et al.. (2011). A new integrated PCR and microarray lab-on-chip for rapid MDR tuberculosis diagnosis. European Respiratory Journal. 38(Suppl 55). p1822–p1822. 1 indexed citations

20.

Miotto, Paolo, Nuccia Saleri, G. Pinsi, et al.. (2009). Molecular detection of rifampin and isoniazid resistance to guide chronic TB patient management in Burkina Faso. BMC Infectious Diseases. 9(1). 142–142. 20 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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