Daniel W. Hagey

3.1k total citations · 1 hit paper
25 papers, 1.4k citations indexed

About

Daniel W. Hagey is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel W. Hagey has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel W. Hagey's work include Extracellular vesicles in disease (8 papers), MicroRNA in disease regulation (6 papers) and Developmental Biology and Gene Regulation (6 papers). Daniel W. Hagey is often cited by papers focused on Extracellular vesicles in disease (8 papers), MicroRNA in disease regulation (6 papers) and Developmental Biology and Gene Regulation (6 papers). Daniel W. Hagey collaborates with scholars based in Sweden, Germany and Egypt. Daniel W. Hagey's co-authors include Samir EL Andaloussi, Joel Z. Nordin, Pieter Vader, Olivier G. de Jong, Omnia M. Elsharkasy, Raymond M. Schiffelers, Jonas Muhr, Maria Bergsland, Smith Rjh and Peter Bergman and has published in prestigious journals such as Nature Communications, Development and Cancer Research.

In The Last Decade

Daniel W. Hagey

24 papers receiving 1.4k citations

Hit Papers

Extracellular vesicles as drug delivery systems: Why and ... 2020 2026 2022 2024 2020 250 500 750

Peers

Daniel W. Hagey
Shaohua Li United States
Shilpa Prabhakar United States
Linan Liu United States
Susan E. LaFlamme United States
Aránzazu Villasante United States
Ava C. Carter United States
Patrick Lombard United Kingdom
Shaohua Li United States
Daniel W. Hagey
Citations per year, relative to Daniel W. Hagey Daniel W. Hagey (= 1×) peers Shaohua Li

Countries citing papers authored by Daniel W. Hagey

Since Specialization
Citations

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

Fields of papers citing papers by Daniel W. Hagey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel W. Hagey

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel W. Hagey. A scholar is included among the top collaborators of Daniel W. Hagey 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 W. Hagey. Daniel W. Hagey 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.
Estupiñán, H. Yesid, Samantha Roudi, Michael J. Munson, et al.. (2025). Design and screening of novel endosomal escape compounds that enhance functional delivery of oligonucleotides in vitro. Molecular Therapy — Nucleic Acids. 36(2). 102522–102522.
2.
Lundin, Karin E., Yi Hao, Samantha Roudi, et al.. (2024). Anti-gene oligonucleotide clamps invade dsDNA and downregulate huntingtin expression. Molecular Therapy — Nucleic Acids. 35(4). 102348–102348. 1 indexed citations
3.
Abomaray, Fawaz, Samir EL Andaloussi, Maria Pernemalm, et al.. (2024). Transcriptomic and proteomic profiles of fetal versus adult mesenchymal stromal cells and mesenchymal stromal cell-derived extracellular vesicles. Stem Cell Research & Therapy. 15(1). 77–77. 12 indexed citations
4.
Hagey, Daniel W., Egle Kvedaraite, Mira Akber, et al.. (2023). Myeloid cells from Langerhans cell histiocytosis patients exhibit increased vesicle trafficking and an altered secretome capable of activating NK cells. Haematologica. 108(9). 2422–2434. 3 indexed citations
5.
Hagey, Daniel W., Miina Ojansivu, Rakibe Beklem Bostancıoğlu, et al.. (2023). The cellular response to extracellular vesicles is dependent on their cell source and dose. Science Advances. 9(35). eadh1168–eadh1168. 49 indexed citations
6.
Saher, Osama, Eman M. Zaghloul, Daniel W. Hagey, et al.. (2023). Chemical Modifications and Design Influence the Potency of Huntingtin Anti-Gene Oligonucleotides. Nucleic Acid Therapeutics. 33(2). 117–131. 5 indexed citations
7.
Hagey, Daniel W. & Samir EL Andaloussi. (2023). The promise and challenges of extracellular vesicles in the diagnosis of neurodegenerative diseases. Handbook of clinical neurology. 193. 227–241. 3 indexed citations
8.
Rjh, Smith, Peter Bergman, & Daniel W. Hagey. (2022). Estimating the number of diseases – the concept of rare, ultra-rare, and hyper-rare. iScience. 25(8). 104698–104698. 49 indexed citations
9.
Bost, Jeremy, Osama Saher, Daniel W. Hagey, et al.. (2021). Growth Media Conditions Influence the Secretion Route and Release Levels of Engineered Extracellular Vesicles. Advanced Healthcare Materials. 11(5). e2101658–e2101658. 40 indexed citations
10.
Elsharkasy, Omnia M., Joel Z. Nordin, Daniel W. Hagey, et al.. (2020). Extracellular vesicles as drug delivery systems: Why and how?. Advanced Drug Delivery Reviews. 159. 332–343. 871 indexed citations breakdown →
11.
Hagey, Daniel W., Nigel Kee, Florie Reynaud, et al.. (2020). CYCLIN-B1/2 and -D1 act in opposition to coordinate cortical progenitor self-renewal and lineage commitment. Nature Communications. 11(1). 2898–2898. 30 indexed citations
12.
Klum, Susanne, Zhanna Alekseenko, Åsa K. Björklund, et al.. (2018). Sequentially acting SOX proteins orchestrate astrocyte‐ and oligodendrocyte‐specific gene expression. EMBO Reports. 19(11). 39 indexed citations
13.
Hagey, Daniel W., et al.. (2018). SOX2 regulates common and specific stem cell features in the CNS and endoderm derived organs. PLoS Genetics. 14(2). e1007224–e1007224. 40 indexed citations
14.
Hagey, Daniel W., Maria Bergsland, Peter Siesjö, et al.. (2017). SOX5/6/21 Prevent Oncogene-Driven Transformation of Brain Stem Cells. Cancer Research. 77(18). 4985–4997. 34 indexed citations
15.
Yokota, Chika, Carolina Åstrand, Shuji Takahashi, Daniel W. Hagey, & Jan M. Stenman. (2017). Apolipoprotein C-I mediates Wnt/Ctnnb1 signaling during neural border formation and is required for neural crest development. The International Journal of Developmental Biology. 61(6-7). 415–425. 8 indexed citations
16.
Vasconcelos, Francisca F., Alessandro Sessa, Cátia Laranjeira, et al.. (2016). MyT1 Counteracts the Neural Progenitor Program to Promote Vertebrate Neurogenesis. Cell Reports. 17(2). 469–483. 44 indexed citations
17.
18.
Rraklli, Vilma, Erik Södersten, Ulrika Nyman, Daniel W. Hagey, & Johan Holmberg. (2015). Elevated levels of ZAC1 disrupt neurogenesis and promote rapid in vivo reprogramming. Stem Cell Research. 16(1). 1–9. 16 indexed citations
19.
Hagey, Daniel W. & Jonas Muhr. (2014). Sox2 Acts in a Dose-Dependent Fashion to Regulate Proliferation of Cortical Progenitors. Cell Reports. 9(5). 1908–1920. 73 indexed citations
20.
French, Curtis R., Timothy Erickson, Ron Koss, et al.. (2007). Pbx homeodomain proteins pattern both the zebrafish retina and tectum. BMC Developmental Biology. 7(1). 85–85. 30 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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