Haijun Yu

1.1k citations
56 papers · 814 · h-index 18

Impact in

  • Oncology top 10%
    • Metal complexes synthesis and properties
    • Cancer Immunotherapy and Biomarkers
    • Head and Neck Cancer Studies

Papers in

Haijun Yu

52 papers receiving 805 citations

Peers

Haijun Yu
Comparison fields: 5 of 98
  • Oncology 245
  • Otorhinolaryngology 32
  • Cancer Research 110
  • Clinical Biochemistry 31
  • Nutrition and Dietetics 69
Replace Sanjib Chaudhary with:
Sanjib Chaudhary United States
Marjaana Säily Finland
Rossella Marullo United States
Lang‐Ming Chi Taiwan
Dolores Aguilar‐Cázares Mexico
Yujue Wang China
Raquel Ciuvalschi Maia Brazil
Martin Wurm Austria
Songling Zhang China
Hui-Wen Cheng Taiwan
Haijun Yu relative to Sanjib Chaudhary United States Sanjib Chaudhary's profile →
Citations per field
00.5×7.2×
Sanjib Chaudhary · 1×
Citations per year

Countries citing papers authored by Haijun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008105
2 201455
3 201753
4 202333
5 201731
6
Clioquinol independently targets NF-kappaB and lysosome pathways in human cancer cells.
201031
7 201329
8 201128
9 201727
10 201326
11 201926
12 201325
13 202421
14 201819
15 202319
16 202019
17 202019
18 202018
19 201416
20 202316

About Haijun Yu

Haijun Yu is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 56 papers that have together received 814 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (8 papers), Head and Neck Cancer Studies (6 papers), Medical Imaging Techniques and Applications (5 papers), Oral health in cancer treatment (4 papers), Trace Elements in Health (4 papers), MicroRNA in disease regulation (4 papers), HER2/EGFR in Cancer Research (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Oncology (245 citations), Otorhinolaryngology (32 citations), Cancer Research (110 citations), Clinical Biochemistry (31 citations) and Nutrition and Dietetics (69 citations). Haijun Yu has collaborated with scholars based in China, United States and France. Frequent co-authors include Yunfeng Zhou, Wei-Qun Ding, Stuart E. Lind, Conghua Xie, Chaoyan Wu, Fuxiang Zhou, Yahua Zhong, Zhi‐Jun Sun, Ke Yuan and Wei‐Qun Ding. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Scientific Reports, Cancer Letters, PLoS ONE and Cancer Cell International.

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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