Jie Ji

1.5k citations
20 papers · 1.2k indexed · 1 hit paper · h-index 14
Topics
RNA modifications and cancer (5 papers)Cancer, Hypoxia, and Metabolism (4 papers)Cancer-related molecular mechanisms research (4 papers)

In The Last Decade

Jie Ji

19 papers receiving 1.2k citations

Hit Papers

Targeting fatty acid synthase modulates sensitivity of he...20232026202420252023255075100

Peers

Jie Ji
Comparison fields: 5 of 82
  • Molecular Biology 787
  • Cancer Research 766
  • Pulmonary and Respiratory Medicine 167
  • Epidemiology 167
  • Oncology 157
Replace Yau-Tuen Chan with:
Yau-Tuen Chan Hong Kong
Dongxian Guan China
Jenq-Chang Lee Taiwan
Reba Mustafi United States
Guangzhi Zhu China
Christian Kuntzen United States
Fandi Meng China
Yijun Shu China
Xu Cao China
Xiaojun Yang China
Jie Ji relative to Yau-Tuen Chan Hong Kong Yau-Tuen Chan's profile →
Citations per field
00.5×10×20×33.5×
Yau-Tuen Chan · 1×
Citations per year

Countries citing papers authored by Jie Ji

Since Specialization
Citations

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

Fields of papers citing papers by Jie Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Ji. A scholar is included among the top collaborators of Jie Ji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jie Ji. Jie Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 4
4
Targeting fatty acid synthase modulates sensitivity of hepatocellular carcinoma to sorafenib via ferroptosisbreakdown →
107
5 3
6 37
7 4
8 3
9 49
10 169
11 39
12 80
13 56
14 288
15 189
16
Diagnostic value of dual detection of hepatocyte nuclear factor 1 beta (HNF-1β) and napsin A for diagnosing ovarian clear cell carcinoma.
14
17 18
18 73
19 13
20 21

About Jie Ji

Jie Ji is a scholar working on Cancer Research, Hepatology and Toxicology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (766 citations), Hepatology (105 citations) and Molecular Biology (787 citations). Jie Ji has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Runqiu Jiang, Junwei Tang, Beicheng Sun, Chuanyong Guo, Liwei Wu, Jiao Feng, Weiqi Dai, Jianye Wu, Jie Zhang and Jingjing Li. Their work appears in journals such as Nature Communications, Free Radical Biology and Medicine and Medicine.

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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