Jinna Chen

2.1k citations
82 papers · 1.5k · h-index 19

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 10%
    • Cancer Cells and Metastasis

Papers in

Jinna Chen

74 papers receiving 1.5k citations

Peers

Jinna Chen
Comparison fields: 5 of 123
  • Cancer Research 316
  • Oncology 391
  • Cell Biology 179
  • Molecular Biology 748
  • Immunology 221
Replace Changhong Shi with:
Changhong Shi China
Yu‐Min Lin Taiwan
Eike Staub Germany
Frederik De Smet Belgium
Robert L. Raffaı̈ United States
Xiaohui Zha Canada
Byunghee Kang South Korea
Phillip Stafford United States
Jia‐Ren Lin United States
Jinna Chen relative to Changhong Shi China Changhong Shi's profile →
Citations per field
00.5×1.5×2.3×
Changhong Shi · 1×
Citations per year

Countries citing papers authored by Jinna Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jinna Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jinna Chen, 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 Jinna Chen Line = papers co-authored together Jinna Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012161
2 2019130
3 2001130
4 2010107
5 2013105
6 201296
7 201496
8 201551
9 202047
10 201544
11 201644
12 201643
13 201842
14 201739
15 200634
16 201927
17 201327
18 202024
19 201820
20 201917

About Jinna Chen

Jinna Chen is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Oncology, Molecular Biology and Atomic and Molecular Physics, and Optics, having authored 82 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (19 papers), Optical Coherence Tomography Applications (15 papers), Photonic and Optical Devices (12 papers), Advanced Fiber Laser Technologies (12 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), Photoacoustic and Ultrasonic Imaging (6 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers) and Magneto-Optical Properties and Applications (3 papers). The work is most often cited by research in Cancer Research (316 citations), Oncology (391 citations), Cell Biology (179 citations), Molecular Biology (748 citations) and Immunology (221 citations). Jinna Chen has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Xin‐Yuan Guan, Stephanie Ma, Tingting Zeng, Jie Xu, Quentin Liu, Min Yan, Yanru Qin, Li Fu, Perry Ping Shum and Yihua Qiu. Their work appears in journals such as Optics Express, Cancer Research, Journal of Lightwave Technology, Biosensors and Nature Cell Biology.

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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