Junyi Su

553 total citations
10 papers, 107 citations indexed

About

Junyi Su is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Junyi Su has authored 10 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Biomedical Engineering. Recurrent topics in Junyi Su's work include MicroRNA in disease regulation (5 papers), Extracellular vesicles in disease (4 papers) and RNA Research and Splicing (2 papers). Junyi Su is often cited by papers focused on MicroRNA in disease regulation (5 papers), Extracellular vesicles in disease (4 papers) and RNA Research and Splicing (2 papers). Junyi Su collaborates with scholars based in Denmark, Italy and Ireland. Junyi Su's co-authors include Jørgen Kjems, Yan Yan, Manuel Rodríguez‐Concepción, Dario Leister, Niels Sandal, Mathias Pribil, Pablo Pulido, Jens Stougaard, Omar Sandoval-Ibáñez and Morten T. Venø and has published in prestigious journals such as Molecular Plant, Brain Pathology and Journal of Visualized Experiments.

In The Last Decade

Junyi Su

8 papers receiving 107 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junyi Su Denmark 5 70 20 19 16 14 10 107
Katherine Fisher-Aylor United States 3 71 1.0× 10 0.5× 6 0.3× 10 0.6× 5 0.4× 3 91
Lila Allou France 6 87 1.2× 4 0.2× 7 0.4× 11 0.7× 5 0.4× 7 151
Yi Tao China 7 66 0.9× 7 0.3× 17 0.9× 4 0.3× 2 0.1× 15 126
Naomi Meeks United States 8 86 1.2× 7 0.3× 5 0.3× 12 0.8× 3 0.2× 16 169
Ana Leticia Maragno Brazil 6 95 1.4× 16 0.8× 5 0.3× 2 0.1× 2 0.1× 6 154
Jed Lusthaus Australia 10 67 1.0× 5 0.3× 27 1.4× 4 0.3× 4 0.3× 16 353
Rocío Nieto-Arellano Spain 4 112 1.6× 11 0.6× 8 0.4× 4 0.3× 6 0.4× 4 134
Tarik Bozoglu Germany 7 108 1.5× 5 0.3× 6 0.3× 5 0.3× 41 2.9× 15 160
Arcomaria Garofalo Italy 5 168 2.4× 5 0.3× 3 0.2× 5 0.3× 27 1.9× 5 187
Nada Houcinat France 5 39 0.6× 10 0.5× 7 0.4× 5 0.3× 3 0.2× 6 96

Countries citing papers authored by Junyi Su

Since Specialization
Citations

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

Fields of papers citing papers by Junyi Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyi Su

This figure shows the co-authorship network connecting the top 25 collaborators of Junyi Su. A scholar is included among the top collaborators of Junyi Su 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 Junyi Su. Junyi Su 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.
Venø, Morten T., Junyi Su, Edward Morrissey, et al.. (2024). Distinct fingerprints of tRNA-derived small non-coding RNA in animal models of neurodegeneration. Disease Models & Mechanisms. 17(11). 4 indexed citations
2.
Ochoa, S, Junyi Su, Jessica Bridoux, et al.. (2024). Plug-and-play nucleic acid-mediated multimerization of biparatopic nanobodies for molecular imaging. Molecular Therapy — Nucleic Acids. 35(3). 102305–102305. 2 indexed citations
3.
Fabbrizio, Paola, Junyi Su, Edward Morrissey, et al.. (2024). Protective role of Angiogenin in muscle regeneration in amyotrophic lateral sclerosis: Diagnostic and therapeutic implications. Brain Pathology. 35(4). e13328–e13328.
4.
Lassen, Thomas Ravn, Jesper Just, Marie Vognstoft Hjortbak, et al.. (2021). Cardioprotection by remote ischemic conditioning is transferable by plasma and mediated by extracellular vesicles. Basic Research in Cardiology. 116(1). 16–16. 36 indexed citations
5.
Yan, Yan, Tingting Gu, Junyi Su, et al.. (2021). Cyclic Hypoxia Conditioning Alters the Content of Myoblast-Derived Extracellular Vesicles and Enhances Their Cell-Protective Functions. Biomedicines. 9(9). 1211–1211. 10 indexed citations
6.
Yan, Yan, Chi-Chih Chang, Junyi Su, Morten T. Venø, & Jørgen Kjems. (2020). Osteoblastogenesis Alters Small RNA Profiles in EVs Derived from Bone Marrow Stem Cells (BMSCs) and Adipose Stem Cells (ASCs). Biomedicines. 8(10). 387–387. 10 indexed citations
7.
Costard, Lara S., Morten T. Venø, Junyi Su, et al.. (2019). Electrical stimulation of the ventral hippocampal commissure delays experimental epilepsy and is associated with altered microRNA expression. Brain stimulation. 12(6). 1390–1401. 9 indexed citations
8.
Yan, Yan, et al.. (2019). Isolating, Sequencing and Analyzing Extracellular MicroRNAs from Human Mesenchymal Stem Cells. Journal of Visualized Experiments. 1 indexed citations
9.
Yan, Yan, et al.. (2019). Isolating, Sequencing and Analyzing Extracellular MicroRNAs from Human Mesenchymal Stem Cells. Journal of Visualized Experiments.
10.
Sandoval-Ibáñez, Omar, Niels Sandal, Junyi Su, et al.. (2017). SNOWY COTYLEDON 2 Promotes Chloroplast Development and Has a Role in Leaf Variegation in Both Lotus japonicus and Arabidopsis thaliana. Molecular Plant. 10(5). 721–734. 35 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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