Qingmiao Shi

2.5k citations
35 papers · 1.4k indexed · 4 hit papers · h-index 15
Topics
Liver Disease Diagnosis and Treatment (8 papers)Ferroptosis and cancer prognosis (8 papers)Cancer, Lipids, and Metabolism (6 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Qingmiao Shi

34 papers receiving 1.4k citations

Hit Papers

Tryptophan metabolism in health and disease20232026202420252023202320242025100200300400

Peers

Qingmiao Shi
Comparison fields: 5 of 109
  • Molecular Biology 758
  • Cancer Research 249
  • Oncology 241
  • Immunology 186
  • Epidemiology 170
Replace Qingfei Chu with:
Qingfei Chu China
Rizwan Ahmad United States
Yu Shi China
Haiyun Liu United States
Xiaomin Li China
Jie Fan China
Sarah E. Corcoran Ireland
Wei‐Ching Huang Taiwan
Soo‐Cheon Chae South Korea
Yiting Tang China
Qingmiao Shi relative to Qingfei Chu China Qingfei Chu's profile →
Citations per field
00.5×3.5×
Qingfei Chu · 1×
Citations per year

Countries citing papers authored by Qingmiao Shi

Since Specialization
Citations

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

Fields of papers citing papers by Qingmiao Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingmiao Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Qingmiao Shi. A scholar is included among the top collaborators of Qingmiao Shi 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 Qingmiao Shi. Qingmiao Shi 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 1
2
Wnt signaling pathways in biology and disease: mechanisms and therapeutic advancesbreakdown →
39
3 28
4 2
5
Notch signaling pathway in cancer: from mechanistic insights to targeted therapiesbreakdown →
149
6 11
7 2
8 4
9 0
10
Evolving cognition of the JAK-STAT signaling pathway: autoimmune disorders and cancerbreakdown →
310
11 6
12 26
13 5
14 24
15 3
16 16
17 3
18 12
19 25
20 60

About Qingmiao Shi

Qingmiao Shi is a scholar working on Microbiology, Cancer Research and Hepatology, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Ferroptosis and cancer prognosis (8 papers) and Cancer, Lipids, and Metabolism (6 papers). The work is most often cited by research in Biological Psychiatry (144 citations), Cancer Research (249 citations) and Molecular Biology (758 citations). Qingmiao Shi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lanjuan Li, Qingfei Chu, Xinyu Gu, Zhengyi Bao, Juan Lu, Yuanshuai Su, Xue Chen, Qiuxian Zheng, Ganglei Li and Xin Yuan. Their work appears in journals such as The Lancet, Cell Metabolism and Scientific Reports.

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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