Chunjiang Yu

1.1k citations
57 papers · 825 · h-index 17

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Chunjiang Yu

55 papers receiving 819 citations

Peers

Chunjiang Yu
Comparison fields: 5 of 84
  • Genetics 178
  • Cancer Research 189
  • Biomaterials 90
  • Oncology 156
  • Molecular Biology 390
Replace Peter C. Stapor with:
Peter C. Stapor United States
David Cory Adamson United States
Tatsuhiro Joki Japan
Anna Rita Torella Italy
Maïté Verreault France
Lewis Hou United States
Ingrid Moen Norway
Benjamin Himes United States
Meiqing Lou China
Yulin Li China
Chunjiang Yu relative to Peter C. Stapor United States Peter C. Stapor's profile →
Citations per field
00.5×1.5×
Peter C. Stapor · 1×
Citations per year

Countries citing papers authored by Chunjiang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Chunjiang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201468
2 201357
3 201856
4 201743
5 201543
6 201539
7 201934
8 201333
9 201229
10 201929
11 202027
12 202025
13 201623
14 200922
15 201320
16 201720
17 202119
18 201616
19 201616
20 201515

About Chunjiang Yu

Chunjiang Yu is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Cancer Research and Immunology, having authored 57 papers that have together received 825 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (17 papers), MicroRNA in disease regulation (7 papers), Ferroptosis and cancer prognosis (6 papers), Brain Metastases and Treatment (5 papers), Cancer-related molecular mechanisms research (5 papers), Nanoplatforms for cancer theranostics (4 papers), Pituitary Gland Disorders and Treatments (4 papers) and Neuroblastoma Research and Treatments (4 papers). The work is most often cited by research in Genetics (178 citations), Cancer Research (189 citations), Biomaterials (90 citations), Oncology (156 citations) and Molecular Biology (390 citations). Chunjiang Yu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Yanming Qu, Chunyu Gu, Yongmei Song, Hailong Liu, Mingshan Zhang, Ning Chen, Haoran Wang, Wei Gu, Xueling Qi and Qimin Zhan. Their work appears in journals such as Oncotarget, Frontiers in Oncology, ACS Applied Materials & Interfaces, Journal of Biological Chemistry and Journal of Neuro-Oncology.

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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