Liyan Ji

1.3k citations
30 papers · 644 · h-index 15

Impact in

Papers in

    • RNA modifications and cancer 4
    • Epigenetics and DNA Methylation 4
    • Cancer-related gene regulation 3
    • Cancer therapeutics and mechanisms 3
    • Cancer Immunotherapy and Biomarkers 4
    • Lung Cancer Research Studies 3

Liyan Ji

28 papers receiving 638 citations

Peers

Liyan Ji
Comparison fields: 5 of 74
  • Toxicology 29
  • Cancer Research 104
  • Biochemistry 34
  • Oncology 143
  • Hepatology 39
Replace Hisatsugu Ohori with:
Hisatsugu Ohori Japan
Daniel Borja–Cacho United States
Su‐Yu Chien Taiwan
Chinenye Iwuji United Kingdom
Qingdi Quentin Li China
Jian-Ge Qiu China
Fangtian Fan China
Young Yun Jung South Korea
Maria Rita Emma Italy
Yukai Xiang China
Liyan Ji relative to Hisatsugu Ohori Japan Hisatsugu Ohori's profile →
Citations per field
00.5×1.5×2.1×
Hisatsugu Ohori · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201790
2 201062
3 201761
4 201855
5 201644
6 201841
7 201833
8 201731
9 201629
10 201526
11 202324
12 201420
13 201717
14 202116
15 202014
16 202312
17 202212
18 201711
19 201710
20 202110

About Liyan Ji

Liyan Ji is a scholar working on Molecular Biology, Oncology, Epidemiology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 644 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (4 papers), Bioactive Compounds and Antitumor Agents (3 papers), Cancer-related gene regulation (3 papers), Cancer therapeutics and mechanisms (3 papers) and Lung Cancer Research Studies (3 papers). The work is most often cited by research in Toxicology (29 citations), Cancer Research (104 citations), Biochemistry (34 citations), Oncology (143 citations) and Hepatology (39 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, Siwang Yu, Zhongjun Li, Qiuju Huang and Xiaoxiao Qi. Their work appears in journals such as Molecular Oncology, Bioorganic & Medicinal Chemistry Letters, Molecules, Pharmacological Research 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.

Explore authors with similar magnitude of impact