Jian Shi

4.6k citations
106 papers · 3.6k indexed · 1 hit paper · h-index 35
Topics
Metabolomics and Mass Spectrometry Studies (20 papers)Cholinesterase and Neurodegenerative Diseases (20 papers)Pharmacogenetics and Drug Metabolism (17 papers)
Partner nations
ChinaUnited StatesMacao

In The Last Decade

Jian Shi

104 papers receiving 3.5k citations

Hit Papers

Loss of FBP1 by Snail-Mediated Repression Provides Metabo...20132026201720212013200400600

Peers

Jian Shi
Comparison fields: 5 of 120
  • Molecular Biology 1.9k
  • Pharmacology 671
  • Oncology 671
  • Pharmacology 633
  • Cancer Research 569
Replace Xiaokui Huo with:
Xiaokui Huo China
Guang Liang China
Yan Cao China
Shu-Feng Zhou China
Huichang Bi China
Shi-Bing Su China
Yune‐Fang Ueng Taiwan
Xiaofeng Liu China
Ramiro Jover Spain
Shuyi Si China
Jian Shi relative to Xiaokui Huo China Xiaokui Huo's profile →
Citations per field
00.5×1.6×
Xiaokui Huo · 1×
Citations per year

Countries citing papers authored by Jian Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jian Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Shi. A scholar is included among the top collaborators of Jian 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 Jian Shi. Jian 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 2
2 13
3 24
4 9
5 37
6 48
7 62
8 81
9 59
10 52
11 20
12 74
13 47
14 7
15
Loss of FBP1 by Snail-Mediated Repression Provides Metabolic Advantages in Basal-like Breast Cancerbreakdown →
645
16 15
17 2
18 113
19 53
20 5

About Jian Shi

Jian Shi is a scholar working on Pharmacology, Pharmacology and Computational Theory and Mathematics, having authored 106 papers that have together received 3.6k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (20 papers), Cholinesterase and Neurodegenerative Diseases (20 papers) and Pharmacogenetics and Drug Metabolism (17 papers). The work is most often cited by research in Pharmacology (633 citations), Pharmacology (671 citations) and Cancer Research (569 citations). Jian Shi has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Hao‐Jie Zhu, Xinwen Wang, Guangji Wang, Jiye Aa, Keren Wang, Wenmin Liu, Yiwei Lin, Tiebang Kang, Jun Yao and Sumitra Miriyala. Their work appears in journals such as Nucleic Acids Research, The Journal of Experimental Medicine and The Journal of Immunology.

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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