Tayla M. Olsen

1.3k total citations
16 papers, 670 citations indexed

About

Tayla M. Olsen is a scholar working on Immunology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Tayla M. Olsen has authored 16 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 6 papers in Public Health, Environmental and Occupational Health and 5 papers in Molecular Biology. Recurrent topics in Tayla M. Olsen's work include Malaria Research and Control (6 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). Tayla M. Olsen is often cited by papers focused on Malaria Research and Control (6 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). Tayla M. Olsen collaborates with scholars based in United States, United Kingdom and Switzerland. Tayla M. Olsen's co-authors include Andrew Oberst, Jennifer Martinez, Michelle Brault, Daniel B. Stetson, Stephen W. G. Tait, Brian P. Daniels, Pooja Ralli-Jain, Kimberley D. Gutierrez, Michael A. Davis and Michael Gale and has published in prestigious journals such as Cell, Nucleic Acids Research and The EMBO Journal.

In The Last Decade

Tayla M. Olsen

16 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tayla M. Olsen United States 10 430 343 87 72 64 16 670
Shinya Hidano Japan 13 243 0.6× 185 0.5× 90 1.0× 79 1.1× 60 0.9× 29 580
Jasmyn A. Dunn Australia 9 609 1.4× 665 1.9× 44 0.5× 54 0.8× 45 0.7× 9 923
Branko Cirovic Germany 9 205 0.5× 346 1.0× 36 0.4× 70 1.0× 80 1.3× 10 554
Florian Ebner Austria 15 480 1.1× 274 0.8× 51 0.6× 94 1.3× 40 0.6× 21 778
Mitsumi Ikeda Japan 7 320 0.7× 373 1.1× 37 0.4× 44 0.6× 31 0.5× 11 603
Justin S. Antony Germany 15 438 1.0× 156 0.5× 59 0.7× 109 1.5× 75 1.2× 33 669
Céline Castanier France 10 434 1.0× 573 1.7× 37 0.4× 104 1.4× 82 1.3× 10 818
Elina Zueva France 10 522 1.2× 520 1.5× 30 0.3× 119 1.7× 105 1.6× 16 882
Maroof Hasan United States 15 525 1.2× 540 1.6× 59 0.7× 103 1.4× 94 1.5× 24 926
Srdjan M. Dragovic United States 7 261 0.6× 423 1.2× 136 1.6× 109 1.5× 97 1.5× 7 705

Countries citing papers authored by Tayla M. Olsen

Since Specialization
Citations

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

Fields of papers citing papers by Tayla M. Olsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tayla M. Olsen

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

All Works

16 of 16 papers shown
1.
Westfall, Susan, Tayla M. Olsen, Danielle Karo‐Atar, et al.. (2025). A type 1 immune-stromal cell network mediates disease tolerance against intestinal infection. Cell. 188(12). 3135–3151.e22. 2 indexed citations
2.
Dufort, Matthew J., et al.. (2024). Antigen-level resolution of commensal-specific B cell responses can be enabled by phage display screening coupled with B cell tetramers. Immunity. 57(6). 1428–1441.e8. 4 indexed citations
3.
Yadav, Naveen, Zachary P. Billman, Brad Stone, et al.. (2023). More time to kill: A longer liver stage increases T cell-mediated protection against pre-erythrocytic malaria. iScience. 26(12). 108489–108489. 2 indexed citations
4.
Shears, Melanie J., Annette M. Seilie, Tayla M. Olsen, et al.. (2022). Cryopreserved Sporozoites with and without the Glycolipid Adjuvant 7DW8-5 Protect in Prime-and-Trap Malaria Vaccination. American Journal of Tropical Medicine and Hygiene. 106(4). 1227–1236. 8 indexed citations
5.
Flannery, Erika L., Niwat Kangwanrangsan, Vorada Chuenchob, et al.. (2022). Plasmodium vivax latent liver infection is characterized by persistent hypnozoites, hypnozoite-derived schizonts, and time-dependent efficacy of primaquine. Molecular Therapy — Methods & Clinical Development. 26. 427–440. 20 indexed citations
6.
Martinov, Tijana, Kelly M. McKenna, Wei Tan, et al.. (2021). Building the Next Generation of Humanized Hemato-Lymphoid System Mice. Frontiers in Immunology. 12. 643852–643852. 55 indexed citations
7.
Sippel, Trisha R., Stefan Radtke, Tayla M. Olsen, Hans‐Peter Kiem, & Anthony Rongvaux. (2019). Human hematopoietic stem cell maintenance and myeloid cell development in next-generation humanized mouse models. Blood Advances. 3(3). 268–274. 51 indexed citations
8.
Olsen, Tayla M., Brad Stone, Vorada Chuenchob, & Sean C. Murphy. (2018). Prime-and-Trap Malaria Vaccination To Generate Protective CD8+ Liver-Resident Memory T Cells. The Journal of Immunology. 201(7). 1984–1993. 42 indexed citations
9.
Murphy, Sean C., Andrew S. Ishizuka, Zachary P. Billman, et al.. (2018). Plasmodium 18S rRNA of intravenously administered sporozoites does not persist in peripheral blood. Malaria Journal. 17(1). 275–275. 4 indexed citations
10.
Brault, Michelle, Tayla M. Olsen, Jennifer Martinez, Daniel B. Stetson, & Andrew Oberst. (2018). Intracellular Nucleic Acid Sensing Triggers Necroptosis through Synergistic Type I IFN and TNF Signaling. The Journal of Immunology. 200(8). 2748–2756. 139 indexed citations
11.
Hanron, Amelia, Zachary P. Billman, Annette M. Seilie, et al.. (2017). Multiplex, DNase-free one-step reverse transcription PCR for Plasmodium 18S rRNA and spliced gametocyte-specific mRNAs. Malaria Journal. 16(1). 208–208. 9 indexed citations
12.
Gutierrez, Kimberley D., Michael A. Davis, Brian P. Daniels, et al.. (2017). MLKL Activation Triggers NLRP3-Mediated Processing and Release of IL-1β Independently of Gasdermin-D. The Journal of Immunology. 198(5). 2156–2164. 183 indexed citations
13.
Philip, Naomi H., Alexandra DeLaney, Lance W. Peterson, et al.. (2016). Activity of Uncleaved Caspase-8 Controls Anti-bacterial Immune Defense and TLR-Induced Cytokine Production Independent of Cell Death. PLoS Pathogens. 12(10). e1005910–e1005910. 67 indexed citations
14.
Gruber, Angela, Aysen L Erdem, Grzegorz Sabat, et al.. (2015). A RecA Protein Surface Required for Activation of DNA Polymerase V. PLoS Genetics. 11(3). e1005066–e1005066. 30 indexed citations
15.
Gruber, Angela, et al.. (2015). Function of the N-terminal segment of the RecA-dependent nuclease Ref. Nucleic Acids Research. 43(3). 1795–1803. 6 indexed citations
16.
Valkov, Eugene, Mark D. Allen, Birthe Meineke, et al.. (2014). Structural basis for P an3 binding to P an2 and its function in mRNA recruitment and deadenylation. The EMBO Journal. 33(14). 1514–1526. 48 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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