Alin Ji

921 citations
20 papers · 646 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation

Papers in

Alin Ji

19 papers receiving 640 citations

Peers

Alin Ji
Comparison fields: 5 of 85
  • Cancer Research 283
  • Molecular Biology 337
  • Endocrine and Autonomic Systems 31
  • Pulmonary and Respiratory Medicine 147
  • Experimental and Cognitive Psychology 49
Replace Dahai Dong with:
Dahai Dong China
Bea Rutgers Netherlands
Itsuo Kusano Japan
Fatih Karataş Türkiye
Chia‐Ni Hsiung Taiwan
Michael A. Passero United States
Carles Zafón Spain
Uche Ezeh United States
M. Schrader Germany
Jessica Clague United States
Alin Ji relative to Dahai Dong China Dahai Dong's profile →
Citations per field
00.5×4.2×
Dahai Dong · 1×
Citations per year

Countries citing papers authored by Alin Ji

Since Specialization
Citations

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

Fields of papers citing papers by Alin Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201688
2 201586
3 202078
4 201770
5 201661
6 201559
7 201642
8 201725
9 201924
10 201923
11 201722
12 201821
13 201516
14 202110
15 20169
16 20225
17 20214
18 20152
19 20231
20 20250

About Alin Ji

Alin Ji is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Urology, having authored 20 papers that have together received 646 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Epigenetics and DNA Methylation (4 papers), Prostate Cancer Treatment and Research (4 papers), Bladder and Urothelial Cancer Treatments (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Circular RNAs in diseases (3 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Cancer Research (283 citations), Molecular Biology (337 citations), Endocrine and Autonomic Systems (31 citations), Pulmonary and Respiratory Medicine (147 citations) and Experimental and Cognitive Psychology (49 citations). Alin Ji has collaborated with scholars based in China. Frequent co-authors include Xiao Wang, Xiangyi Zheng, Zhen Liang, Liping Xie, Shuai Meng, Jian Wu, Qi Zhang, Xin Xu, Shiqi Li and Yi Zhu. Their work appears in journals such as Oncotarget, Scientific Reports, Bioscience Reports, Journal of Translational Medicine and Life Sciences.

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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