Mateusz M. Pluciński

3.5k total citations
75 papers, 1.6k citations indexed

About

Mateusz M. Pluciński is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Mateusz M. Pluciński has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Public Health, Environmental and Occupational Health, 13 papers in Infectious Diseases and 13 papers in Molecular Biology. Recurrent topics in Mateusz M. Pluciński's work include Malaria Research and Control (55 papers), Mosquito-borne diseases and control (40 papers) and Computational Drug Discovery Methods (11 papers). Mateusz M. Pluciński is often cited by papers focused on Malaria Research and Control (55 papers), Mosquito-borne diseases and control (40 papers) and Computational Drug Discovery Methods (11 papers). Mateusz M. Pluciński collaborates with scholars based in United States, Mozambique and United Kingdom. Mateusz M. Pluciński's co-authors include Venkatachalam Udhayakumar, Eldin Talundzic, Eric Rogier, Eric S. Halsey, Filomeno Fortes, John W. Barnwell, Pedro Rafael Dimbu, Lindsay Morton, James Colborn and Naomi W. Lucchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Microbiology Reviews.

In The Last Decade

Mateusz M. Pluciński

72 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mateusz M. Pluciński United States 24 1.1k 283 275 243 218 75 1.6k
Anupkumar R. Anvikar India 22 1.3k 1.2× 258 0.9× 244 0.9× 155 0.6× 216 1.0× 80 1.6k
Geoffrey L. Johnston United States 9 1.2k 1.1× 190 0.7× 166 0.6× 114 0.5× 135 0.6× 11 1.4k
Zhigui Xia China 24 1.5k 1.3× 305 1.1× 276 1.0× 130 0.5× 130 0.6× 104 1.7k
Shuisen Zhou China 27 1.9k 1.8× 392 1.4× 424 1.5× 124 0.5× 159 0.7× 112 2.3k
Ahmad Raeisi Iran 27 1.7k 1.5× 300 1.1× 278 1.0× 63 0.3× 226 1.0× 127 2.1k
Sungano Mharakurwa United States 22 1.8k 1.7× 508 1.8× 276 1.0× 118 0.5× 185 0.8× 69 2.3k
Anna Rosanas‐Urgell Belgium 26 1.6k 1.5× 408 1.4× 170 0.6× 140 0.6× 184 0.8× 94 1.9k
Deus S. Ishengoma Tanzania 23 1.0k 0.9× 226 0.8× 228 0.8× 161 0.7× 79 0.4× 72 1.3k
Davis Nwakanma Gambia 27 1.4k 1.3× 349 1.2× 218 0.8× 92 0.4× 387 1.8× 70 2.1k
Issaka Sagara Mali 29 1.9k 1.7× 344 1.2× 293 1.1× 217 0.9× 178 0.8× 109 2.3k

Countries citing papers authored by Mateusz M. Pluciński

Since Specialization
Citations

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

Fields of papers citing papers by Mateusz M. Pluciński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mateusz M. Pluciński. 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 Mateusz M. Pluciński. The network helps show where Mateusz M. Pluciński may publish in the future.

Co-authorship network of co-authors of Mateusz M. Pluciński

This figure shows the co-authorship network connecting the top 25 collaborators of Mateusz M. Pluciński. A scholar is included among the top collaborators of Mateusz M. Pluciński 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 Mateusz M. Pluciński. Mateusz M. Pluciński 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.
Barratt, Joel & Mateusz M. Pluciński. (2023). Epidemiologic Utility of a Framework for Partition Number Selection When Dissecting Hierarchically Clustered Genetic Data Evaluated on the Intestinal Parasite Cyclospora cayetanensis. American Journal of Epidemiology. 192(5). 772–781. 6 indexed citations
2.
Rogier, Eric, Pedro Rafael Dimbu, Brian S. Wakeman, et al.. (2022). Antibody dynamics in children with first or repeat Plasmodium falciparum infections. Frontiers in Medicine. 9. 869028–869028.
3.
Rogier, Eric, Mateusz M. Pluciński, Baltazar Candrinho, et al.. (2022). Adaptation to a Multiplex Bead Assay and Seroprevalence to Rift Valley Fever N Protein: Nampula Province, Mozambique, 2013-2014. Journal of Virology. 96(16). e0067222–e0067222. 2 indexed citations
4.
Pluciński, Mateusz M., et al.. (2022). Evaluation of various distance computation methods for construction of haplotype-based phylogenies from large MLST datasets. Molecular Phylogenetics and Evolution. 177. 107608–107608. 8 indexed citations
5.
6.
Coutinho, Renato Mendes, Flávia Maria Darcie Marquitti, Marcelo Eduardo Borges, et al.. (2021). Repository of the "Model-based estimation of transmissibility and reinfection of SARS-CoV-2 P.1 variant" code. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
7.
Camara, Alioune, Yaya Barry, Ibrahima Camara, et al.. (2021). Combined Epidemiologic and Entomologic Survey to Detect Urban Malaria Transmission, Guinea, 2018. Emerging infectious diseases. 27(2). 599–602. 3 indexed citations
8.
Coutinho, Renato Mendes, Flávia Maria Darcie Marquitti, Marcelo Eduardo Borges, et al.. (2021). Model-based estimation of transmissibility and reinfection of SARS-CoV-2 P.1 variant. SHILAP Revista de lepidopterología. 1(1). 48–48. 82 indexed citations
9.
Rogier, Eric, Pedro Rafael Dimbu, Brian S. Wakeman, et al.. (2021). Framework for Characterizing Longitudinal Antibody Response in Children After Plasmodium falciparum Infection. Frontiers in Immunology. 12. 617951–617951. 7 indexed citations
10.
11.
Colborn, James, Rose Zulliger, Gabriel Ponce de León, et al.. (2020). Quality of malaria data in public health facilities in three provinces of Mozambique. PLoS ONE. 15(4). e0231358–e0231358. 8 indexed citations
12.
Jones, Sophie, et al.. (2020). One-step PCR: A novel protocol for determination of pfhrp2 deletion status in Plasmodium falciparum. PLoS ONE. 15(7). e0236369–e0236369. 10 indexed citations
13.
Wat’senga, Francis, Fiacre Agossa, Emile Z. Manzambi, et al.. (2020). Intensity of pyrethroid resistance in Anopheles gambiae before and after a mass distribution of insecticide-treated nets in Kinshasa and in 11 provinces of the Democratic Republic of Congo. Malaria Journal. 19(1). 169–169. 12 indexed citations
14.
Pluciński, Mateusz M., Peter D. McElroy, Pedro Rafael Dimbu, et al.. (2019). Clearance dynamics of lactate dehydrogenase and aldolase following antimalarial treatment for Plasmodium falciparum infection. Parasites & Vectors. 12(1). 293–293. 26 indexed citations
15.
Pluciński, Mateusz M., Baltazar Candrinho, Eric Rogier, et al.. (2018). Multiplex serology for impact evaluation of bed net distribution on burden of lymphatic filariasis and four species of human malaria in northern Mozambique. PLoS neglected tropical diseases. 12(2). e0006278–e0006278. 36 indexed citations
16.
Sun, Yu, et al.. (2018). Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016. Malaria Journal. 17(1). 461–461. 8 indexed citations
17.
Pluciński, Mateusz M., Pedro Rafael Dimbu, Julia Kelley, et al.. (2017). Efficacy of artemether–lumefantrine, artesunate–amodiaquine, and dihydroartemisinin–piperaquine for treatment of uncomplicated Plasmodium falciparum malaria in Angola, 2015. Malaria Journal. 16(1). 62–62. 59 indexed citations
18.
Pluciński, Mateusz M., Timothée Guilavogui, Sidikiba Sidibé, et al.. (2015). Effect of the Ebola-virus-disease epidemic on malaria case management in Guinea, 2014: a cross-sectional survey of health facilities. The Lancet Infectious Diseases. 15(9). 1017–1023. 104 indexed citations
19.
Pluciński, Mateusz M., Lindsay Morton, Mary Bushman, Pedro Rafael Dimbu, & Venkatachalam Udhayakumar. (2015). Robust Algorithm for Systematic Classification of Malaria Late Treatment Failures as Recrudescence or Reinfection Using Microsatellite Genotyping. Antimicrobial Agents and Chemotherapy. 59(10). 6096–6100. 31 indexed citations
20.
Pluciński, Mateusz M., et al.. (2011). Inferring Social Network Structure from Bacterial Sequence Data. PLoS ONE. 6(8). e22685–e22685. 6 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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