Samuel W. Lukowski

2.5k total citations
39 papers, 1.2k citations indexed

About

Samuel W. Lukowski is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Samuel W. Lukowski has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Immunology and 8 papers in Epidemiology. Recurrent topics in Samuel W. Lukowski's work include Single-cell and spatial transcriptomics (8 papers), Cancer-related molecular mechanisms research (6 papers) and Immune Cell Function and Interaction (6 papers). Samuel W. Lukowski is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), Cancer-related molecular mechanisms research (6 papers) and Immune Cell Function and Interaction (6 papers). Samuel W. Lukowski collaborates with scholars based in Australia, Switzerland and United Kingdom. Samuel W. Lukowski's co-authors include Joseph E. Powell, Daniel C. Chambers, Anne Senabouth, Quan Nguyen, Stacey B. Andersen, A. E. O. Trezise, Ian H. Frazer, Mark A. Schembri, Danilo Gomes Moriel and Kate M. Peters and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Scientific Reports.

In The Last Decade

Samuel W. Lukowski

38 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel W. Lukowski Australia 21 570 341 183 139 127 39 1.2k
David L. Caudell United States 23 568 1.0× 247 0.7× 67 0.4× 80 0.6× 91 0.7× 66 1.3k
Mary‐Pat Stein United States 12 583 1.0× 492 1.4× 395 2.2× 106 0.8× 80 0.6× 14 1.4k
Ming‐Ko Chiang Taiwan 19 718 1.3× 98 0.3× 102 0.6× 160 1.2× 64 0.5× 25 1.3k
Todd P. Knutson United States 24 607 1.1× 349 1.0× 53 0.3× 832 6.0× 133 1.0× 51 1.9k
Hwan-Wun Liu Taiwan 19 482 0.8× 166 0.5× 80 0.4× 67 0.5× 35 0.3× 34 1.2k
Alexandre Stella France 17 1.0k 1.8× 358 1.0× 267 1.5× 109 0.8× 65 0.5× 31 1.6k
S Cheng United States 15 567 1.0× 147 0.4× 102 0.6× 273 2.0× 74 0.6× 22 1.2k
Shoutaro Tsuji Japan 22 566 1.0× 1.1k 3.3× 356 1.9× 90 0.6× 176 1.4× 68 2.0k
Xing Du China 23 941 1.7× 481 1.4× 64 0.3× 216 1.6× 69 0.5× 66 1.7k
Laurent Gorvel France 21 261 0.5× 729 2.1× 115 0.6× 32 0.2× 85 0.7× 53 1.3k

Countries citing papers authored by Samuel W. Lukowski

Since Specialization
Citations

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

Fields of papers citing papers by Samuel W. Lukowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel W. Lukowski. 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 Samuel W. Lukowski. The network helps show where Samuel W. Lukowski may publish in the future.

Co-authorship network of co-authors of Samuel W. Lukowski

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel W. Lukowski. A scholar is included among the top collaborators of Samuel W. Lukowski 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 Samuel W. Lukowski. Samuel W. Lukowski 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.
2.
Pinto, Catarina, Sophie Zahalka, Barbara Thaler, et al.. (2025). Cross-disease integration of single-cell RNA sequencing data from lung myeloid cells reveals TAM signature in in vitro model. OncoImmunology. 14(1). 2502278–2502278. 1 indexed citations
3.
Pandey, Ram Vinay, Lisa Kleißl, Johannes Laengle, et al.. (2024). Dysfunctional tumor-infiltrating Vδ1 + T lymphocytes in microsatellite-stable colorectal cancer. Nature Communications. 15(1). 6949–6949. 13 indexed citations
4.
Lukowski, Samuel W., S. Thomas Kelly, Meihua Yu, et al.. (2021). Absence of Batf3 reveals a new dimension of cell state heterogeneity within conventional dendritic cells. iScience. 24(5). 102402–102402. 20 indexed citations
5.
Tuong, Zewen Kelvin, Samuel W. Lukowski, Quan Nguyen, et al.. (2021). A model of impaired Langerhans cell maturation associated with HPV induced epithelial hyperplasia. iScience. 24(11). 103326–103326. 10 indexed citations
6.
Senabouth, Anne, Stacey B. Andersen, Lei Shi, et al.. (2020). Comparative performance of the BGI and Illumina sequencing technology for single-cell RNA-sequencing. NAR Genomics and Bioinformatics. 2(2). lqaa034–lqaa034. 33 indexed citations
7.
Lukowski, Samuel W., et al.. (2020). Dysregulation of Stemness Pathways in HPV Mediated Cervical Malignant Transformation Identifies Potential Oncotherapy Targets. Frontiers in Cellular and Infection Microbiology. 10. 307–307. 15 indexed citations
8.
Vilar, R., et al.. (2020). Chemical Modulators of Fibrinogen Production and Their Impact on Venous Thrombosis. Thrombosis and Haemostasis. 121(4). 433–448. 7 indexed citations
9.
Senabouth, Anne, Samuel W. Lukowski, José Alquicira-Hernández, et al.. (2019). ascend : R package for analysis of single-cell RNA-seq data. GigaScience. 8(8). 27 indexed citations
10.
Lukowski, Samuel W., Jatin Patel, Stacey B. Andersen, et al.. (2019). Single-Cell Transcriptional Profiling of Aortic Endothelium Identifies a Hierarchy from Endovascular Progenitors to Differentiated Cells. Cell Reports. 27(9). 2748–2758.e3. 81 indexed citations
11.
Daniszewski, Maciej, Anne Senabouth, Quan Nguyen, et al.. (2018). Single cell RNA sequencing of stem cell-derived retinal ganglion cells. Scientific Data. 5(1). 37 indexed citations
12.
Chambers, Daniel C., et al.. (2018). Transcriptomics and single‐cell RNA‐sequencing. Respirology. 24(1). 29–36. 81 indexed citations
13.
Nguyen, Quan, Samuel W. Lukowski, Han Sheng Chiu, et al.. (2018). Single-cell RNA-seq of human induced pluripotent stem cells reveals cellular heterogeneity and cell state transitions between subpopulations. Genome Research. 28(7). 1053–1066. 74 indexed citations
14.
Lukowski, Samuel W., Zewen Kelvin Tuong, Anne Senabouth, et al.. (2018). Detection of HPV E7 Transcription at Single-Cell Resolution in Epidermis. Journal of Investigative Dermatology. 138(12). 2558–2567. 18 indexed citations
15.
Ramnath, Divya, Katharine M. Irvine, Samuel W. Lukowski, et al.. (2018). Hepatic expression profiling identifies steatosis-independent and steatosis-driven advanced fibrosis genes. JCI Insight. 3(14). 33 indexed citations
16.
Lukowski, Samuel W., Luke R. Lloyd‐Jones, Alexander Holloway, et al.. (2017). Genetic correlations reveal the shared genetic architecture of transcription in human peripheral blood. Nature Communications. 8(1). 483–483. 14 indexed citations
17.
Böhm, Raphael, Lauren E. Hartley‐Tassell, Jason A. Steen, et al.. (2014). Ferrets exclusively synthesize Neu5Ac and express naturally humanized influenza A virus receptors. Nature Communications. 5(1). 5750–5750. 90 indexed citations
18.
Popadin, Konstantin, María Gutiérrez‐Arcelus, Tuuli Lappalainen, et al.. (2014). Gene Age Predicts the Strength of Purifying Selection Acting on Gene Expression Variation in Humans. The American Journal of Human Genetics. 95(6). 660–674. 26 indexed citations
19.
Phan, Minh‐Duy, Kate M. Peters, Sohinee Sarkar, et al.. (2013). The Serum Resistome of a Globally Disseminated Multidrug Resistant Uropathogenic Escherichia coli Clone. PLoS Genetics. 9(10). e1003834–e1003834. 141 indexed citations
20.

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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