Junyi Su

553 citations
10 papers · 107 · h-index 5

Impact in

Papers in

    • Extracellular vesicles in disease 4
    • RNA Research and Splicing 2
    • Advanced biosensing and bioanalysis techniques 1
    • MicroRNA in disease regulation 5

Junyi Su

8 papers receiving 107 citations

Peers

Junyi Su
Comparison fields: 5 of 39
  • Developmental Neuroscience 11
  • Cancer Research 20
  • Pathology and Forensic Medicine 19
  • Molecular Biology 70
  • Emergency Medicine 7
Replace Katherine Fisher-Aylor with:
Katherine Fisher-Aylor United States
Ana Leticia Maragno Brazil
Yi Tao China
Abdulshakour Mohammadnia Canada
Lila Allou France
Cinthia Elim Jannes Brazil
Tarik Bozoglu Germany
Arcomaria Garofalo Italy
Н Л Шеремет Russia
Cristina Rubinetto Italy
Junyi Su relative to Katherine Fisher-Aylor United States Katherine Fisher-Aylor's profile →
Citations per field
00.5×
Katherine Fisher-Aylor · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Junyi Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junyi Su Line = papers co-authored together Junyi Su links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 202136
2 201735
3 202110
4 202010
5 20199
6 20244
7 20242
8 20191
9 20240
10 20190

About Junyi Su

Junyi Su is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Genetics and Pathology and Forensic Medicine, having authored 10 papers that have together received 107 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Extracellular vesicles in disease (4 papers), RNA Research and Splicing (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Plant Molecular Biology Research (1 paper), Nanoplatforms for cancer theranostics (1 paper), Mechanical Circulatory Support Devices (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Developmental Neuroscience (11 citations), Cancer Research (20 citations), Pathology and Forensic Medicine (19 citations), Molecular Biology (70 citations) and Emergency Medicine (7 citations). Junyi Su has collaborated with scholars based in Denmark, Italy and Ireland. Frequent co-authors include Jørgen Kjems, Yan Yan, Niels Sandal, Manuel Rodríguez‐Concepción, Omar Sandoval-Ibáñez, Jens Stougaard, Mathias Pribil, Dario Leister, Pablo Pulido and Tingting Gu. Their work appears in journals such as Biomedicines, Journal of Visualized Experiments, Basic Research in Cardiology, Disease Models & Mechanisms and Molecular Plant.

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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