Yan‐Xiao Ji

7.4k citations
50 papers · 3.1k indexed · 2 hit papers · h-index 29
Topics
Liver Disease Diagnosis and Treatment (17 papers)Endoplasmic Reticulum Stress and Disease (9 papers)Signaling Pathways in Disease (7 papers)

In The Last Decade

Yan‐Xiao Ji

50 papers receiving 3.1k citations

Hit Papers

Epidemiological Features of NAFLD From 1999 to 2018 in China201920262021202320202019100200300400

Peers

Yan‐Xiao Ji
Comparison fields: 5 of 111
  • Epidemiology 1.5k
  • Molecular Biology 1.4k
  • Endocrinology, Diabetes and Metabolism 495
  • Hepatology 445
  • Cardiology and Cardiovascular Medicine 441
Replace Bettina G. Papouchado with:
Bettina G. Papouchado United States
Lihua Zhu China
Patrick J. van Gorp Netherlands
Casey D. Johnson United States
Hae‐Ki Min United States
Adriaan G. Holleboom Netherlands
Sophie C. Cazanave United States
Marta Varela‐Rey Spain
Kook Hwan Kim South Korea
J.A. Solís-Herruzo Spain
Yan‐Xiao Ji relative to Bettina G. Papouchado United States Bettina G. Papouchado's profile →
Citations per field
00.5×2.8×
Bettina G. Papouchado · 1×
Citations per year

Countries citing papers authored by Yan‐Xiao Ji

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐Xiao Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan‐Xiao Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Yan‐Xiao Ji. A scholar is included among the top collaborators of Yan‐Xiao 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 Yan‐Xiao Ji. Yan‐Xiao 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 8
2 16
3 13
4 5
5 4
6 2
7 33
8 69
9 19
10 22
11 70
12 21
13 43
14 74
15 133
16 50
17 61
18 60
19 26
20 32

About Yan‐Xiao Ji

Yan‐Xiao Ji is a scholar working on Hepatology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 50 papers that have together received 3.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (17 papers), Endoplasmic Reticulum Stress and Disease (9 papers) and Signaling Pathways in Disease (7 papers). The work is most often cited by research in Hepatology (445 citations), Epidemiology (1.5k citations) and Endocrinology, Diabetes and Metabolism (495 citations). Yan‐Xiao Ji has collaborated with scholars based in China, United States and Sri Lanka. Frequent co-authors include Hongliang Li, Zhi‐Gang She, Xiao‐Jing Zhang, Jingjing Cai, Peng Zhang, Lihua Zhu, Wenxin Wang, Jianghua Zhou, Zan Huang and Shaoqing Li. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Nature Communications.

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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