Daniel Louiselle

881 total citations
10 papers, 171 citations indexed

About

Daniel Louiselle is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Louiselle has authored 10 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Louiselle's work include Neonatal Respiratory Health Research (2 papers), RNA Research and Splicing (2 papers) and Infant Nutrition and Health (2 papers). Daniel Louiselle is often cited by papers focused on Neonatal Respiratory Health Research (2 papers), RNA Research and Splicing (2 papers) and Infant Nutrition and Health (2 papers). Daniel Louiselle collaborates with scholars based in United States, Finland and Sweden. Daniel Louiselle's co-authors include Tomi Pastinen, Elin Grundberg, Rebecca Biswell, Angela Myers, Bradley Belden, Jennifer E. Schuster, Rangaraj Selvarangan, Cas LeMaster, Dithi Banerjee and Elizabeth Fraley and has published in prestigious journals such as Nature, New England Journal of Medicine and Journal of Clinical Investigation.

In The Last Decade

Daniel Louiselle

9 papers receiving 166 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Louiselle United States 7 101 53 25 20 18 10 171
Yujing Fan Hong Kong 7 181 1.8× 56 1.1× 25 1.0× 53 2.6× 23 1.3× 13 266
Jinyan Zhang Singapore 5 52 0.5× 69 1.3× 18 0.7× 14 0.7× 9 0.5× 18 153
Qing‐Cui Zou China 7 99 1.0× 86 1.6× 42 1.7× 4 0.2× 7 0.4× 13 180
Nina L. Reiser United States 8 171 1.7× 41 0.8× 32 1.3× 21 1.1× 16 0.9× 14 242
Sebastian Einhauser Germany 8 121 1.2× 31 0.6× 21 0.8× 15 0.8× 19 1.1× 14 146
Viktoria Zaderer Austria 9 88 0.9× 37 0.7× 70 2.8× 6 0.3× 6 0.3× 18 236
Brittany P. Boribong United States 6 64 0.6× 34 0.6× 51 2.0× 7 0.3× 2 0.1× 16 136
Carly Kabelac United States 5 183 1.8× 18 0.3× 11 0.4× 38 1.9× 12 0.7× 5 226
Patricia Almendro-Vázquez Spain 8 130 1.3× 19 0.4× 70 2.8× 3 0.1× 6 0.3× 12 191
Samuel Wrenn United States 3 165 1.6× 27 0.5× 12 0.5× 7 0.3× 11 0.6× 3 180

Countries citing papers authored by Daniel Louiselle

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Louiselle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Louiselle

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

All Works

10 of 10 papers shown
1.
Means, John C., Daniel Louiselle, John M. Perry, et al.. (2025). Rapid and scalable personalized ASO screening in patient-derived organoids. Nature. 638(8049). 237–243. 11 indexed citations
2.
Harvey, Lisa A., Carrie A. Vyhlidal, Atif Ahmed, et al.. (2024). Genomic insights into pediatric intestinal inflammatory and eosinophilic disorders using single-cell RNA-sequencing. Frontiers in Immunology. 15. 1420208–1420208. 1 indexed citations
3.
LeMaster, Cas, Santosh Khanal, Daniel Louiselle, et al.. (2023). The cellular and immunological dynamics of early and transitional human milk. Communications Biology. 6(1). 10 indexed citations
4.
Yu, Wei, Heather Menden, Sheng Xia, et al.. (2023). IRF7 and UNC93B1 variants in an infant with recurrent herpes simplex virus infection. Journal of Clinical Investigation. 133(11). 12 indexed citations
5.
LeMaster, Cas, Santosh Khanal, Daniel Louiselle, et al.. (2022). The cellular dynamics of early and transitional human breast milk. The Journal of Immunology. 208(Supplement_1). 59.10–59.10.
6.
Xia, Sheng, Lisandra Vila Ellis, Heather Menden, et al.. (2022). Neonatal hyperoxia induces activated pulmonary cellular states and sex-dependent transcriptomic changes in a model of experimental bronchopulmonary dysplasia. American Journal of Physiology-Lung Cellular and Molecular Physiology. 324(2). L123–L140. 11 indexed citations
7.
Bradley, Todd, Elin Grundberg, Rangaraj Selvarangan, et al.. (2021). Antibody Responses after a Single Dose of SARS-CoV-2 mRNA Vaccine. New England Journal of Medicine. 384(20). 1959–1961. 98 indexed citations
8.
Vihola, Anna, Johanna Palmio, Olof Danielsson, et al.. (2019). Novel mutation in TNPO3 causes congenital limb-girdle myopathy with slow progression. Neurology Genetics. 5(3). e337–e337. 13 indexed citations
9.
Vihola, Anna, Johanna Palmio, Olof Danielsson, et al.. (2019). P.178A novel mutation in TNPO3 causes congenital limb girdle myopathy with slow progression. Neuromuscular Disorders. 29. S100–S101. 1 indexed citations
10.
Louiselle, Daniel, Michael Craig, Lifeng Dong, et al.. (2012). Association of Poly I:C RNA and Plasmid DNA onto MnO Nanorods Mediated by PAMAM. Langmuir. 28(8). 3860–3870. 14 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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