Xiangjun Ji

719 citations
21 papers · 603 · h-index 15

Impact in

    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • Genomics, phytochemicals, and oxidative stress
    • Glutathione Transferases and Polymorphisms
    • Epigenetics and DNA Methylation
    • Sphingolipid Metabolism and Signaling

Papers in

    • Genomics, phytochemicals, and oxidative stress 10
    • FOXO transcription factor regulation 2
    • Cancer Cells and Metastasis 2

Xiangjun Ji

19 papers receiving 597 citations

Peers

Xiangjun Ji
Comparison fields: 5 of 76
  • Cancer Research 137
  • Molecular Biology 436
  • Genetics 56
  • Geriatrics and Gerontology 16
  • Aging 7
Replace Marcella Bonanomi with:
Marcella Bonanomi Italy
Susumu Kohno Japan
Yanjie Lu China
Christy Joseph India
Yanfeng Xu China
Vimal Pandey India
Mohammad Reza Sadeghi Iran
Zhong‐Ming Qian China
Cong Wei China
Shuntaro Tsukamoto Japan
Xiangjun Ji relative to Marcella Bonanomi Italy Marcella Bonanomi's profile →
Citations per field
00.5×1.5×2.5×
Marcella Bonanomi · 1×
Citations per year

Countries citing papers authored by Xiangjun Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xiangjun Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201395
2 201392
3 201873
4 201348
5 201341
6 201241
7 201326
8 201325
9 201424
10 201724
11 201422
12 201422
13 201117
14 201216
15 201314
16 201214
17 20224
18 20233
19 20222
20 20240

About Xiangjun Ji

Xiangjun Ji is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Pharmacology, having authored 21 papers that have together received 603 indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (10 papers), Cancer, Hypoxia, and Metabolism (4 papers), Glioma Diagnosis and Treatment (3 papers), Cancer Cells and Metastasis (2 papers), Adipose Tissue and Metabolism (2 papers), Trace Elements in Health (2 papers), FOXO transcription factor regulation (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Cancer Research (137 citations), Molecular Biology (436 citations), Genetics (56 citations), Geriatrics and Gerontology (16 citations) and Aging (7 citations). Xiangjun Ji has collaborated with scholars based in China, Vanuatu and United States. Frequent co-authors include Handong Wang, Jianhong Zhu, Zixiang Cong, Lin Zhu, Hao Pan, Yuan Zhou, Huandong Liu, Qing Sun, Meng‐Liang Zhou and Yuan Zhou. Their work appears in journals such as Oncology Reports, Brain Research, Neurological Research, Neurological Sciences and Biomedical Signal Processing and Control.

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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