Daolin Ji

977 citations
20 papers · 573 · h-index 14

Impact in

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

Papers in

    • Cancer-related molecular mechanisms research 9
    • MicroRNA in disease regulation 3
    • Circular RNAs in diseases 6
    • RNA modifications and cancer 6

Daolin Ji

19 papers receiving 573 citations

Peers

Daolin Ji
Comparison fields: 5 of 55
  • Cancer Research 410
  • Molecular Biology 388
  • Surgery 102
  • Pathology and Forensic Medicine 27
  • Oncology 37
Replace Pengcheng Kang with:
Pengcheng Kang China
Lining Huang China
Nader Mansour Samaei Iran
Yidong Cheng China
Jingxu Sun China
Pengfei Qiao China
Jian Fang Li China
Daolin Ji relative to Pengcheng Kang China Pengcheng Kang's profile →
Citations per field
00.5×1.5×
Pengcheng Kang · 1×
Citations per year

Countries citing papers authored by Daolin Ji

Since Specialization
Citations

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

Fields of papers citing papers by Daolin Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2018126
2 201871
3 201759
4 201852
5 201447
6 201934
7 201728
8 202020
9 201719
10 201919
11 202019
12 201918
13 202216
14 202016
15 202311
16 20227
17 20227
18 20213
19 20251
20 20230

About Daolin Ji

Daolin Ji is a scholar working on Cancer Research, Molecular Biology, Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 573 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (6 papers), RNA modifications and cancer (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), MicroRNA in disease regulation (3 papers), Cancer Mechanisms and Therapy (2 papers), Ferroptosis and cancer prognosis (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Cancer Research (410 citations), Molecular Biology (388 citations), Surgery (102 citations), Pathology and Forensic Medicine (27 citations) and Oncology (37 citations). Daolin Ji has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Yi Xu, Yunfu Cui, Kaiming Leng, Xingming Jiang, Zhenglong Li, Lining Huang, Xiangyu Zhong, Jinglin Li, Yue Yao and Pengcheng Kang. Their work appears in journals such as Aging, Journal of Oncology, Frontiers in Pharmacology, Molecular Cancer Therapeutics and Cell Proliferation.

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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