Ulrika Morris

1.1k total citations
23 papers, 473 citations indexed

About

Ulrika Morris is a scholar working on Public Health, Environmental and Occupational Health, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Ulrika Morris has authored 23 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Public Health, Environmental and Occupational Health, 4 papers in Computational Theory and Mathematics and 4 papers in Pharmacology. Recurrent topics in Ulrika Morris's work include Malaria Research and Control (23 papers), Mosquito-borne diseases and control (17 papers) and Computational Drug Discovery Methods (4 papers). Ulrika Morris is often cited by papers focused on Malaria Research and Control (23 papers), Mosquito-borne diseases and control (17 papers) and Computational Drug Discovery Methods (4 papers). Ulrika Morris collaborates with scholars based in Sweden, Tanzania and United States. Ulrika Morris's co-authors include Anders Björkman, Berit Aydin-Schmidt, Andreas Mårtensson, Mwinyi Msellem, Max Petzold, Abdullah Ali, Delér Shakely, Billy Ngasala, José Pedro Gil and Jackie Cook and has published in prestigious journals such as Nature Communications, PLoS ONE and Emerging infectious diseases.

In The Last Decade

Ulrika Morris

21 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrika Morris Sweden 14 424 90 41 41 39 23 473
Victor Osoti Kenya 11 322 0.8× 72 0.8× 47 1.1× 47 1.1× 23 0.6× 23 399
Awa B. Dème Senegal 14 436 1.0× 119 1.3× 57 1.4× 79 1.9× 36 0.9× 27 514
Luz García Spain 10 381 0.9× 122 1.4× 33 0.8× 58 1.4× 30 0.8× 19 464
Yaye Dié Ndiaye Senegal 13 353 0.8× 116 1.3× 59 1.4× 71 1.7× 26 0.7× 32 472
Berit Aydin-Schmidt Sweden 14 499 1.2× 110 1.2× 24 0.6× 48 1.2× 49 1.3× 20 585
Dragan Ljolje United States 12 364 0.9× 93 1.0× 37 0.9× 47 1.1× 51 1.3× 17 447
Felista Mwingira Tanzania 7 482 1.1× 159 1.8× 27 0.7× 48 1.2× 53 1.4× 9 526
Vicenta González Spain 8 287 0.7× 68 0.8× 36 0.9× 39 1.0× 21 0.5× 13 335
María A. Santana-Morales Spain 11 363 0.9× 89 1.0× 21 0.5× 44 1.1× 33 0.8× 17 520
Bosco Agaba Uganda 9 416 1.0× 86 1.0× 20 0.5× 48 1.2× 32 0.8× 20 485

Countries citing papers authored by Ulrika Morris

Since Specialization
Citations

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

Fields of papers citing papers by Ulrika Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrika Morris

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrika Morris. A scholar is included among the top collaborators of Ulrika Morris 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 Ulrika Morris. Ulrika Morris 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.
Recker, Mario, Mamadou Teketé, Taís Nóbrega de Sousa, et al.. (2025). Decreased dihydroartemisinin-piperaquine protection against recurrent malaria associated with Plasmodium falciparum plasmepsin 3 copy number variation in Africa. Nature Communications. 16(1). 2680–2680.
2.
Danielsson, Lena, et al.. (2024). An immuno-inflammatory profiling of asymptomatic individuals in a malaria endemic area in Uganda. Acta Tropica. 260. 107446–107446.
3.
Sousa, Taís Nóbrega de, et al.. (2022). An update on pharmacogenetic factors influencing the metabolism and toxicity of artemisinin-based combination therapy in the treatment of malaria. Expert Opinion on Drug Metabolism & Toxicology. 18(1). 39–59. 8 indexed citations
4.
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Morris, Ulrika & Berit Aydin-Schmidt. (2021). Performance and Application of Commercially Available Loop-Mediated Isothermal Amplification (LAMP) Kits in Malaria Endemic and Non-Endemic Settings. Diagnostics. 11(2). 336–336. 25 indexed citations
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Björkman, Anders & Ulrika Morris. (2020). Why Asymptomatic Plasmodium falciparum Infections Are Common in Low-Transmission Settings. Trends in Parasitology. 36(11). 898–905. 21 indexed citations
8.
Morgan, Andrew P., Nicholas F. Brazeau, Billy Ngasala, et al.. (2020). Falciparum malaria from coastal Tanzania and Zanzibar remains highly connected despite effective control efforts on the archipelago. Malaria Journal. 19(1). 47–47. 29 indexed citations
9.
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Björkman, Anders, Delér Shakely, Abdullah Ali, et al.. (2019). From high to low malaria transmission in Zanzibar—challenges and opportunities to achieve elimination. BMC Medicine. 17(1). 14–14. 54 indexed citations
11.
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Aydin-Schmidt, Berit, Ulrika Morris, Xavier C. Ding, et al.. (2017). Field Evaluation of a High Throughput Loop Mediated Isothermal Amplification Test for the Detection of Asymptomatic Plasmodium Infections in Zanzibar. PLoS ONE. 12(1). e0169037–e0169037. 24 indexed citations
14.
Xu, Weiping, Ulrika Morris, Berit Aydin-Schmidt, et al.. (2015). SYBR Green Real-Time PCR-RFLP Assay Targeting the Plasmodium Cytochrome B Gene – A Highly Sensitive Molecular Tool for Malaria Parasite Detection and Species Determination. PLoS ONE. 10(3). e0120210–e0120210. 42 indexed citations
15.
Morris, Ulrika, Weiping Xu, Mwinyi Msellem, et al.. (2015). Characterising temporal trends in asymptomatic Plasmodium infections and transporter polymorphisms during transition from high to low transmission in Zanzibar, 2005–2013. Infection Genetics and Evolution. 33. 110–117. 17 indexed citations
16.
Morris, Ulrika, Berit Aydin-Schmidt, Ali K Abass, et al.. (2015). Field deployment of loop-mediated isothermal amplification for centralized mass-screening of asymptomatic malaria in Zanzibar: a pre-elimination setting. Malaria Journal. 14(1). 205–205. 41 indexed citations
17.
Aydin-Schmidt, Berit, Marycelina Mubi, Ulrika Morris, et al.. (2013). Usefulness of Plasmodium falciparum-specific rapid diagnostic tests for assessment of parasite clearance and detection of recurrent infections after artemisinin-based combination therapy. Malaria Journal. 12(1). 349–349. 44 indexed citations
18.
Morris, Ulrika, Berit Aydin-Schmidt, Delér Shakely, et al.. (2013). Rapid diagnostic tests for molecular surveillance of Plasmodium falciparum malaria -assessment of DNA extraction methods and field applicability. Malaria Journal. 12(1). 106–106. 33 indexed citations
19.
Shakely, Delér, Kristina Elfving, Berit Aydin-Schmidt, et al.. (2013). The Usefulness of Rapid Diagnostic Tests in the New Context of Low Malaria Transmission in Zanzibar. PLoS ONE. 8(9). e72912–e72912. 49 indexed citations
20.
Fröberg, Gabrielle, Ulrika Morris, Delér Shakely, et al.. (2012). Decreased prevalence of Plasmodium falciparum resistance markers to amodiaquine despite its wide scale use as ACT partner drug in Zanzibar. Malaria Journal. 11(1). 321–321. 19 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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