Chongyu Su

883 citations
15 papers · 535 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing

Papers in

    • MicroRNA in disease regulation 2
    • Cancer-related molecular mechanisms research 2
    • Cancer Genomics and Diagnostics 1
    • RNA modifications and cancer 2
    • Epigenetics and DNA Methylation 1

Chongyu Su

14 papers receiving 529 citations

Peers

Chongyu Su
Comparison fields: 5 of 99
  • Cancer Research 127
  • Infectious Diseases 140
  • Molecular Biology 191
  • Neurology 34
  • Immunology 48
Replace Vishruth Girish with:
Vishruth Girish United States
Amy L. Olex United States
Anshika Srivastava India
Kevin Baßler Germany
Stepan Nersisyan Russia
Man Jin Kim South Korea
Guangliang Qiang China
Sean R. Landman United States
Jia Zhou China
Soo Hyun Seo South Korea
Chongyu Su relative to Vishruth Girish United States Vishruth Girish's profile →
Citations per field
00.5×10×15.5×
Vishruth Girish · 1×
Citations per year

Countries citing papers authored by Chongyu Su

Since Specialization
Citations

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

Fields of papers citing papers by Chongyu Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2020230
2 2018108
3 201962
4 201841
5 201332
6 201413
7 201810
8 201510
9 20218
10 20136
11 20225
12
Cholecystokinin attenuates radiation-induced lung cancer cell apoptosis by modulating p53 gene transcription.
20175
13 20214
14 20161
15 20250

About Chongyu Su

Chongyu Su is a scholar working on Cancer Research, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 15 papers that have together received 535 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), MicroRNA in disease regulation (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Lung Cancer Research Studies (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper) and Cancer, Stress, Anesthesia, and Immune Response (1 paper). The work is most often cited by research in Cancer Research (127 citations), Infectious Diseases (140 citations), Molecular Biology (191 citations), Neurology (34 citations) and Immunology (48 citations). Chongyu Su has collaborated with scholars based in China. Frequent co-authors include Daping Yu, Yi Han, Xiaoyun Song, Zhidong Liu, Yunsong Li, Shijie Zhou, Xiaoqing Cao, Ning Xiao, Guizhen Wu and Weimin Zhou. Their work appears in journals such as Nature Communications, Frontiers in Oncology, Cancer Medicine, Annals of Translational Medicine and CHEST Journal.

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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