Jørgen Kjems

51.9k total citations · 10 hit papers
495 papers, 38.5k citations indexed

About

Jørgen Kjems is a scholar working on Molecular Biology, Cancer Research and Materials Chemistry. According to data from OpenAlex, Jørgen Kjems has authored 495 papers receiving a total of 38.5k indexed citations (citations by other indexed papers that have themselves been cited), including 318 papers in Molecular Biology, 93 papers in Cancer Research and 67 papers in Materials Chemistry. Recurrent topics in Jørgen Kjems's work include Advanced biosensing and bioanalysis techniques (110 papers), RNA Interference and Gene Delivery (104 papers) and MicroRNA in disease regulation (84 papers). Jørgen Kjems is often cited by papers focused on Advanced biosensing and bioanalysis techniques (110 papers), RNA Interference and Gene Delivery (104 papers) and MicroRNA in disease regulation (84 papers). Jørgen Kjems collaborates with scholars based in Denmark, Germany and United States. Jørgen Kjems's co-authors include Thomas B. Hansen, Christian Kroun Damgaard, Jesper B. Bramsen, Lasse S. Kristensen, Bettina Hjelm Clausen, Bente Finsen, Trine I. Jensen, Karoline K. Ebbesen, Morten T. Venø and Lotte Victoria Winther Stagsted and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jørgen Kjems

485 papers receiving 37.8k citations

Hit Papers

Natural RNA circles functio... 1987 2026 2000 2013 2013 2019 2009 2017 2011 2.0k 4.0k 6.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Natural RNA circles function as efficient microRNA sponges
    2013 6.2k citations Thomas B. Hansen, Jesper B. Bramsen et al. profile →
  2. The biogenesis, biology and characterization of circular RNAs
    2019 3.3k citations Lasse S. Kristensen, Thomas B. Hansen et al. profile →
  3. Self-assembly of a nanoscale DNA box with a controllable lid
    2009 1.3k citations Morten Muhlig Nielsen, Kurt V. Gothelf et al. profile →
  4. Circular RNAs in cancer: opportunities and challenges in the field
    2017 1.1k citations Lasse S. Kristensen, Thomas B. Hansen et al. profile →
  5. miRNA‐dependent gene silencing involving Ago2‐mediated cleavage of a circular antisense RNA
    2011 836 citations Thomas B. Hansen, Jesper B. Bramsen et al. profile →
  6. Circular RNA and miR-7 in Cancer
    2013 801 citations Thomas B. Hansen, Jørgen Kjems et al. Cancer Research profile →
  7. The emerging roles of circRNAs in cancer and oncology
    2021 788 citations Lasse S. Kristensen, Henrik Hager et al. profile →
  8. Magnetic excitations and ordering in the heavy-electron superconductorURu2Si2
    1987 459 citations Jørgen Kjems et al. profile →
  9. Circular RNAs: Identification, biogenesis and function
    2015 432 citations Jørgen Kjems, Thomas B. Hansen et al. profile →
  10. The therapeutic potential of circular RNAs
    2025 32 citations Lasse S. Kristensen, Thomas B. Hansen et al. profile →

Peers

Jørgen Kjems
Kenneth M. Yamada United States
Petra Schwille Germany
Shankar Balasubramanian United Kingdom
Toshikazu Nakamura Japan
Mehmet Toner United States
Stephen R. Quake United States
Minoru Yoshida Japan
Gideon Dreyfuss United States
Hakho Lee United States
Erkki Ruoslahti United States
Kenneth M. Yamada United States
Jørgen Kjems
Citations per year, relative to Jørgen Kjems Jørgen Kjems (= 1×) peers Kenneth M. Yamada

Countries citing papers authored by Jørgen Kjems

Since Specialization
Citations

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

Fields of papers citing papers by Jørgen Kjems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jørgen Kjems

This figure shows the co-authorship network connecting the top 25 collaborators of Jørgen Kjems. A scholar is included among the top collaborators of Jørgen Kjems 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 Jørgen Kjems. Jørgen Kjems 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.
Gudbergsson, Johann Mar, Mette Galsgaard Malle, J. Jensen, et al.. (2025). Dedicated nanoparticle flow cytometry for single extracellular vesicle phenotyping: Performance of the CytoFLEX Nano. bioRxiv (Cold Spring Harbor Laboratory).
2.
Civit, Laia, Benedikt Asbach, David Peterhoff, et al.. (2024). A Multi-Faceted Binding Assessment of Aptamers Targeting the SARS-CoV-2 Spike Protein. International Journal of Molecular Sciences. 25(9). 4642–4642. 3 indexed citations
3.
Okholm, Trine Line Hauge, Morten Muhlig Nielsen, Anne Kruse Hollensen, et al.. (2024). circHIPK3 nucleates IGF2BP2 and functions as a competing endogenous RNA. eLife. 13. 4 indexed citations
4.
Venø, Morten T., Karim Rahimi, Marina de Wit, et al.. (2024). Circular RNAs regulate neuron size and migration of midbrain dopamine neurons during development. Nature Communications. 15(1). 6773–6773. 4 indexed citations
5.
Krissanaprasit, Abhichart, Emily Mihalko, Daniel M. Dupont, et al.. (2024). A functional RNA-origami as direct thrombin inhibitor with fast-acting and specific single-molecule reversal agents in vivo model. Molecular Therapy. 32(7). 2286–2298. 3 indexed citations
6.
Cai, Yunpeng, Jesper S. Nielsen, Vijay Chudasama, et al.. (2024). An Albumin-Holliday Junction Biomolecular Modular Design for Programmable Multifunctionality and Prolonged Circulation. Bioconjugate Chemistry. 35(2). 214–222. 3 indexed citations
7.
Malle, Mette Galsgaard, Ping Song, Philipp M. G. Löffler, et al.. (2024). Programmable RNA Loading of Extracellular Vesicles with Toehold-Release Purification. Journal of the American Chemical Society. 146(18). 12410–12422. 22 indexed citations
8.
Ahmadov, Ulvi, Thomas B. Hansen, Zongliang Gao, et al.. (2023). Impact of U2AF1 mutations on circular RNA expression in myelodysplastic neoplasms. Leukemia. 37(5). 1113–1125. 7 indexed citations
9.
Ghorbani, Sadegh, Annette Füchtbauer, Pia M. Martensen, et al.. (2023). Protein ligand and nanotopography separately drive the phenotype of mouse embryonic stem cells. Biomaterials. 301. 122244–122244. 3 indexed citations
10.
Rudnik‐Jansen, Imke, et al.. (2022). An albumin-angiotensin converting enzyme 2-based SARS-CoV-2 decoy with FcRn-driven half-life extension. Acta Biomaterialia. 153. 411–418. 4 indexed citations
11.
Vogt, Stefan, Madhusudhan Reddy Bobbili, Gerhard Stadlmayr, et al.. (2021). An engineered CD81‐based combinatorial library for selecting recombinant binders to cell surface proteins: Laminin binding CD81 enhances cellular uptake of extracellular vesicles. Journal of Extracellular Vesicles. 10(11). e12139–e12139. 20 indexed citations
12.
Tsoi, Lam C., Ranjitha Uppala, Henrik Hager, et al.. (2020). Characterization of circular RNA transcriptomes in psoriasis and atopic dermatitis reveals disease‐specific expression profiles. Experimental Dermatology. 30(8). 1187–1196. 39 indexed citations
13.
Gonçalves, Nádia Pereira, Yan Yan, Maj Ulrichsen, et al.. (2020). Modulation of Small RNA Signatures in Schwann-Cell-Derived Extracellular Vesicles by the p75 Neurotrophin Receptor and Sortilin. Biomedicines. 8(11). 450–450. 17 indexed citations
14.
Yoshimoto, Rei, Karim Rahimi, Thomas B. Hansen, Jørgen Kjems, & Akila Mayeda. (2020). Biosynthesis of Circular RNA ciRS-7/CDR1as Is Mediated by Mammalian-wide Interspersed Repeats. iScience. 23(7). 101345–101345. 33 indexed citations
15.
Verboom, Karen, Celine Everaert, Nathalie Bolduc, et al.. (2019). SMARTer single cell total RNA sequencing. Nucleic Acids Research. 47(16). e93–e93. 35 indexed citations
16.
Löffler, Philipp M. G., Oliver Ries, Alexander Rabe, et al.. (2017). Fusion von Liposomen in einer DNA‐programmierten Kaskade. Angewandte Chemie. 129(43). 13410–13414. 8 indexed citations
17.
Vu-Quang, Hieu, Mads Sloth Vinding, Thomas Nielsen, et al.. (2016). Theranostic tumor targeted nanoparticles combining drug delivery with dual near infrared and 19 F magnetic resonance imaging modalities. Nanomedicine Nanotechnology Biology and Medicine. 12(7). 1873–1884. 34 indexed citations
18.
Sun, Ming, Miao Wang, Muwan Chen, et al.. (2015). A tissue-engineered therapeutic device inhibits tumor growth in vitro and in vivo. Acta Biomaterialia. 18. 21–29. 21 indexed citations
19.
Laursen, Maria Bach, Malgorzata Maria Pakula, Shan Gao, et al.. (2010). Utilization of unlocked nucleic acid (UNA) to enhance siRNA performance in vitro and in vivo. Molecular BioSystems. 6(5). 862–870. 93 indexed citations
20.
Dyrskjøt, Lars, Marie S. Ostenfeld, Jesper B. Bramsen, et al.. (2009). Genomic Profiling of MicroRNAs in Bladder Cancer: miR-129 Is Associated with Poor Outcome and Promotes Cell Death In vitro. Cancer Research. 69(11). 4851–4860. 315 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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