Changle Ji

726 citations
19 papers · 460 · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

    • Circular RNAs in diseases 9
    • RNA modifications and cancer 5
    • RNA Research and Splicing 5
    • MicroRNA in disease regulation 9
    • Cancer-related molecular mechanisms research 9

Changle Ji

19 papers receiving 455 citations

Peers

Changle Ji
Comparison fields: 5 of 55
  • Cancer Research 295
  • Molecular Biology 378
  • Cell Biology 52
  • Oncology 61
  • Immunology 25
Replace Xiaochong Deng with:
Xiaochong Deng China
Yang Fu China
Haitao Zhang China
Woo Chan Shin South Korea
Xiaojiao Ban Hong Kong
Amir Sadra Zangouei Iran
Lihua Ding China
Vaishnavi Nathan Australia
Liang Chang China
Bo‐Liang Liu China
Changle Ji relative to Xiaochong Deng China Xiaochong Deng's profile →
Citations per field
00.5×1.5×
Xiaochong Deng · 1×
Citations per year

Countries citing papers authored by Changle Ji

Since Specialization
Citations

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

Fields of papers citing papers by Changle Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202157
2 201850
3 202042
4 201840
5 201935
6 202127
7 202025
8 202022
9 202122
10 202218
11 202017
12 202117
13 201817
14 202117
15 202215
16 202314
17 202113
18 20228
19 20164

About Changle Ji

Changle Ji is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Genetics, having authored 19 papers that have together received 460 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (9 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Cancer-related Molecular Pathways (3 papers) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Cancer Research (295 citations), Molecular Biology (378 citations), Cell Biology (52 citations), Oncology (61 citations) and Immunology (25 citations). Changle Ji has collaborated with scholars based in China and Australia. Frequent co-authors include Lin Fang, Xuehui Wang, Xiaochong Deng, Jiashu Hu, Kaiyao Hua, Yunhe Yu, Wenfang Zheng, Hongming Song, Tianqi Wu and Dan Xie. Their work appears in journals such as Aging, International Journal of Oncology, Journal of Experimental & Clinical Cancer Research, Cell Death Discovery and Oncology Reports.

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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