Long Chen

1.8k citations
112 papers · 1.3k indexed · h-index 23

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Molecular Biology Techniques and Applications
    • RNA modifications and cancer

Papers in

Long Chen

95 papers receiving 1.3k citations

Peers

Long Chen
Comparison fields: 5 of 141
  • Cancer Research 274
  • Molecular Biology 579
  • Toxicology 25
  • Biological Psychiatry 18
  • Oncology 193
Replace Sangwoo Bae with:
Sangwoo Bae South Korea
Tao Lu China
Xinhua Song China
Qingyong Chen China
Takahiro Inoue Japan
Junyang Li China
Lijun Liu China
Qun Wei China
Bin Huang China
Byunghee Kang South Korea
Long Chen relative to Sangwoo Bae South Korea Sangwoo Bae's profile →
Citations per field
00.5×3.0×
Sangwoo Bae · 1×
Citations per year

Countries citing papers authored by Long Chen

Since Specialization
Citations

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

Fields of papers citing papers by Long Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201875
2 201463
3 202258
4 199253
5 201548
6 201645
7 201243
8 201342
9 201442
10 201640
11 201631
12 201629
13 202029
14 201329
15 201228
16 201627
17 201027
18 201526
19 202226
20 202225

About Long Chen

Long Chen is a scholar working on Cancer Research, Structural Biology, Molecular Biology, Neuropsychology and Physiological Psychology and Oncology, having authored 112 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), MicroRNA in disease regulation (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (5 papers), CAR-T cell therapy research (5 papers), Acoustic Wave Resonator Technologies (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Cancer Research (274 citations), Molecular Biology (579 citations), Toxicology (25 citations), Biological Psychiatry (18 citations) and Oncology (193 citations). Long Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Michael Pecht, Ping Zhang, Kaijun Ma, Yehui Lv, Bin Chen, Heng Zhang, Chunmin Liang, Duan Ma, Yinghui Chen and Huijun Wang. Their work appears in journals such as Oncotarget, Journal of Clinical Oncology, IEEE Transactions on Microwave Theory and Techniques, Journal of Energy Storage and Molecular Therapy — Nucleic Acids.

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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