Liyan Ji

1.4k citations
31 papers · 678 · h-index 15

Impact in

Papers in

    • Epigenetics and DNA Methylation 3
    • Cancer therapeutics and mechanisms 3
    • RNA modifications and cancer 3
    • Cancer-related gene regulation 2
    • Cancer Immunotherapy and Biomarkers 3
    • Lung Cancer Research Studies 3

Liyan Ji

30 papers receiving 670 citations

Peers

Liyan Ji
Comparison fields: 5 of 74
  • Toxicology 27
  • Cancer Research 79
  • Biochemistry 30
  • Oncology 127
  • Hepatology 31
Replace Su‐Yu Chien with:
Su‐Yu Chien Taiwan
Quangen Gao China
Daniel Borja–Cacho United States
Chinenye Iwuji United Kingdom
Young Yun Jung South Korea
Jian-Ge Qiu China
Jiao Li China
Fangtian Fan China
Sook‐Kyoung Heo South Korea
Koji Higai Japan
Liyan Ji relative to Su‐Yu Chien Taiwan Su‐Yu Chien's profile →
Citations per field
00.5×4.0×
Su‐Yu Chien · 1×
Citations per year

Countries citing papers authored by Liyan Ji

Since Specialization
Citations

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

Fields of papers citing papers by Liyan Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201793
2 201763
3 201063
4 201855
5 201646
6 201842
7 201834
8 201731
9 202329
10 201629
11 201526
12 201420
13 201718
14 202118
15 202014
16 202313
17 202213
18 201712
19 202111
20 201711

About Liyan Ji

Liyan Ji is a scholar working on Molecular Biology, Oncology, Cancer Research, Organic Chemistry and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 678 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Research Studies (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer therapeutics and mechanisms (3 papers), RNA modifications and cancer (3 papers), Ferroptosis and cancer prognosis (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Toxicology (27 citations), Cancer Research (79 citations), Biochemistry (30 citations), Oncology (127 citations) and Hepatology (31 citations). Liyan Ji has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Linlin Lu, Zhongqiu Liu, Xiaoxiao Qi, Haojia Wang, Xiangbao Meng, Hongming Zheng, Zhongjun Li, Siwang Yu, Qiuju Huang and Simin Yang. Their work appears in journals such as Pharmacological Research, Molecular Oncology, Molecules, Bioorganic & Medicinal Chemistry Letters and Frontiers in Pharmacology.

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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