Alan Sabirsh

3.6k total citations · 1 hit paper
45 papers, 2.3k citations indexed

About

Alan Sabirsh is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Alan Sabirsh has authored 45 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 14 papers in Immunology and 10 papers in Physiology. Recurrent topics in Alan Sabirsh's work include RNA Interference and Gene Delivery (13 papers), Asthma and respiratory diseases (9 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Alan Sabirsh is often cited by papers focused on RNA Interference and Gene Delivery (13 papers), Asthma and respiratory diseases (9 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Alan Sabirsh collaborates with scholars based in Sweden, United States and United Kingdom. Alan Sabirsh's co-authors include Maryam Clausen, Anne‐Christine Andréasson, Xiaoyan Sun, Magnus Bjursell, Carina Ämmälä, Simone Picelli, Åsa Segerstolpe, Maria Kasper, Eva-Marie Andersson and Pernilla Eliasson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Alan Sabirsh

43 papers receiving 2.3k citations

Hit Papers

Single-Cell Transcriptome Profiling of Human Pancreatic I... 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan Sabirsh Sweden 24 1.3k 644 399 329 280 45 2.3k
Costin N. Antonescu Canada 27 1.5k 1.2× 335 0.5× 99 0.2× 226 0.7× 97 0.3× 70 2.4k
Peter McCourt Norway 28 972 0.7× 264 0.4× 110 0.3× 434 1.3× 93 0.3× 66 2.7k
Martin E. van Royen Netherlands 29 1.7k 1.3× 110 0.2× 467 1.2× 190 0.6× 342 1.2× 83 2.9k
Federica Sangiuolo Italy 27 1.6k 1.2× 234 0.4× 387 1.0× 271 0.8× 79 0.3× 147 2.9k
Piero Tosi Italy 33 1.1k 0.8× 405 0.6× 149 0.4× 455 1.4× 139 0.5× 97 3.1k
Brad J. Marsh Australia 19 1.3k 1.0× 648 1.0× 106 0.3× 54 0.2× 230 0.8× 25 2.1k
Kristoffer Rigbolt Denmark 28 1.8k 1.4× 250 0.4× 154 0.4× 142 0.4× 297 1.1× 52 2.8k
Carles Rentero Spain 34 2.5k 1.9× 380 0.6× 95 0.2× 521 1.6× 61 0.2× 71 3.6k
Jin Tang China 24 2.0k 1.5× 267 0.4× 215 0.5× 432 1.3× 74 0.3× 87 3.1k
Wolfgang Scholz Germany 36 1.7k 1.3× 224 0.3× 124 0.3× 587 1.8× 127 0.5× 86 3.5k

Countries citing papers authored by Alan Sabirsh

Since Specialization
Citations

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

Fields of papers citing papers by Alan Sabirsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Sabirsh

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Sabirsh. A scholar is included among the top collaborators of Alan Sabirsh 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 Alan Sabirsh. Alan Sabirsh 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.
Rustogi, Nitin, Paul N. Devine, Lorraine K. Miller, et al.. (2024). RNA encoded peptide barcodes enable efficient in vivo screening of RNA delivery systems. Nucleic Acids Research. 52(16). 9384–9396. 4 indexed citations
2.
Liu, Kai, Elisa Lázaro‐Ibáñez, Michael Lerche, et al.. (2024). Reply to: Technical challenges of studying the impact of plasma components on the efficacy of lipid nanoparticles for vaccine and therapeutic applications. Nature Communications. 15(1). 3853–3853. 2 indexed citations
3.
Joubert, Fanny, Michael J. Munson, Alan Sabirsh, et al.. (2023). Precise and systematic end group chemistry modifications on PAMAM and poly(l-lysine) dendrimers to improve cytosolic delivery of mRNA. Journal of Controlled Release. 356. 580–594. 43 indexed citations
4.
Liu, Kai, Ralf Nilsson, Elisa Lázaro‐Ibáñez, et al.. (2023). Multiomics analysis of naturally efficacious lipid nanoparticle coronas reveals high-density lipoprotein is necessary for their function. Nature Communications. 14(1). 4007–4007. 66 indexed citations
5.
Ballina, Laura Rodríguez de la, Maria Lyngaas Torgersen, Maja Radulovic, et al.. (2023). TECPR1 is activated by damage‐induced sphingomyelin exposure to mediate noncanonical autophagy. The EMBO Journal. 42(17). e113105–e113105. 34 indexed citations
6.
Hunter, Morag R., Lili Cui, Benjamin T. Porebski, et al.. (2023). Understanding Intracellular Biology to Improve mRNA Delivery by Lipid Nanoparticles. Small Methods. 7(9). e2201695–e2201695. 28 indexed citations
7.
Franke, Christian, Martin Stöter, Stefano Bartesaghi, et al.. (2021). Endosomal escape of delivered mRNA from endosomal recycling tubules visualized at the nanoscale. The Journal of Cell Biology. 221(2). 137 indexed citations
8.
Toor, Salman, Håkan Wieslander, Philip J. Harrison, et al.. (2021). Rapid development of cloud-native intelligent data pipelines for scientific data streams using the HASTE Toolkit. GigaScience. 10(3). 3 indexed citations
9.
Helgadóttir, Saga, Benjamin Midtvedt, Jesús Pineda, et al.. (2021). Extracting quantitative biological information from bright-field cell images using deep learning. PubMed. 2(3). 31401–31401. 23 indexed citations
10.
Harrison, Philip J., Håkan Wieslander, Alan Sabirsh, et al.. (2021). Deep-Learning Models for Lipid Nanoparticle-Based Drug Delivery. Nanomedicine. 16(13). 1097–1110. 33 indexed citations
11.
Stöter, Martin, Stefano Bartesaghi, Alan Sabirsh, et al.. (2021). Quantitative intracellular retention of delivered RNAs through optimized cell fixation and immunostaining. RNA. 28(3). 433–446. 3 indexed citations
12.
Blakney, Anna K., Paul F. McKay, Clément R. Bouton, et al.. (2020). Effect of complexing lipids on cellular uptake and expression of messenger RNA in human skin explants. Journal of Controlled Release. 330. 1250–1261. 34 indexed citations
13.
Ding, Mei, Henrik Andersson, Alan Sabirsh, et al.. (2020). Aligned nanofiber scaffolds improve functionality of cardiomyocytes differentiated from human induced pluripotent stem cell-derived cardiac progenitor cells. Scientific Reports. 10(1). 13575–13575. 39 indexed citations
14.
Sisino, Giorgia, Alex‐Xianghua Zhou, Alan Sabirsh, et al.. (2017). Long noncoding RNAs are dynamically regulated during β-cell mass expansion in mouse pregnancy and control β-cell proliferation in vitro. PLoS ONE. 12(8). e0182371–e0182371. 15 indexed citations
15.
Segerstolpe, Åsa, Pernilla Eliasson, Eva-Marie Andersson, et al.. (2016). Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes. Cell Metabolism. 24(4). 593–607. 987 indexed citations breakdown →
16.
Seys, Leen, Anne Verhamme, Anja Schuster, et al.. (2015). Role of B Cell–Activating Factor in Chronic Obstructive Pulmonary Disease. American Journal of Respiratory and Critical Care Medicine. 192(6). 706–718. 84 indexed citations
17.
Grönros, Julia, Suvi E. Heinonen, Tasso Miliotis, et al.. (2015). Impaired Coronary and Renal Vascular Function in Spontaneously Type 2 Diabetic Leptin-Deficient Mice. PLoS ONE. 10(6). e0130648–e0130648. 21 indexed citations
18.
Holmgren, Gustav, Anna-Karin Sjögren, Isabel Barragán, et al.. (2014). Long-Term Chronic Toxicity Testing Using Human Pluripotent Stem Cell–Derived Hepatocytes. Drug Metabolism and Disposition. 42(9). 1401–1406. 76 indexed citations
19.
Owman, Christer, Alan Sabirsh, Alfredo Garzino‐Demo, & Fiorenza Cocchi. (2000). Cloning of a Novel Chemoattractant Receptor Activated by Leukotriene B4 and Used by Human Immunodeficiency Virus Type 1 to Infect CD4-positive Immune Cells: A Therapeutic Connection to Asthma?. American Journal of Respiratory and Critical Care Medicine. 161(Supplement_1). S56–S61. 3 indexed citations
20.
Owman, Christer, Alan Sabirsh, Åke Boketoft, & Björn Olde. (1997). Leukotriene B4Is the Functional Ligand Binding to and Activating the Cloned Chemoattractant Receptor, CMKRL1. Biochemical and Biophysical Research Communications. 240(1). 162–166. 29 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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