Cheng Ji

4.3k citations
60 papers · 3.5k indexed · h-index 28
Topics
Endoplasmic Reticulum Stress and Disease (22 papers)Liver Disease Diagnosis and Treatment (19 papers)Alcohol Consumption and Health Effects (15 papers)
Journals
Advanced MaterialsJournal of Biological ChemistrySHILAP Revista de lepidopterología

In The Last Decade

Cheng Ji

57 papers receiving 3.5k citations

Peers

Cheng Ji
Comparison fields: 5 of 131
  • Epidemiology 1.5k
  • Molecular Biology 1.1k
  • Cell Biology 1.0k
  • Pathology and Forensic Medicine 1.0k
  • Surgery 374
Replace Hiroshi Kono with:
Hiroshi Kono Japan
Jerzy Stachura Poland
Anna‐Liisa Nieminen United States
Akihiro Sekine Japan
Tetsuya Yamamoto Japan
Balu K. Chacko United States
William Lewis United States
Rubén Zamora United States
Vítor Seabra Portugal
Kyung Lee United States
Cheng Ji relative to Hiroshi Kono Japan Hiroshi Kono's profile →
Citations per field
00.5×4.7×
Hiroshi Kono · 1×
Citations per year

Countries citing papers authored by Cheng Ji

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Ji. A scholar is included among the top collaborators of Cheng 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 Cheng Ji. Cheng 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 2
2 1
3 0
4 30
5 4
6
Increased expression of 78 kD glucose-regulated protein promotes cardiomyocyte apoptosis in a rat model of liver cirrhosis.
2
7 26
8 22
9 48
10 47
11 46
12 117
13 9
14 11
15 128
16 57
17 51
18 86
19 201
20 454

About Cheng Ji

Cheng Ji is a scholar working on Cell Biology, Pathology and Forensic Medicine and Hepatology, having authored 60 papers that have together received 3.5k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (22 papers), Liver Disease Diagnosis and Treatment (19 papers) and Alcohol Consumption and Health Effects (15 papers). The work is most often cited by research in Cell Biology (1.0k citations), Pathology and Forensic Medicine (1.0k citations) and Epidemiology (1.5k citations). Cheng Ji has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Neil Kaplowitz, Lily Dara, Masao Shinohara, Qinggao Deng, Hui Han, Ya‐Hsuan Hsu, Jay Hu, Ruty Mehrian‐Shai, Lydia M. Petrovic and Amy S. Lee. Their work appears in journals such as Advanced Materials, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

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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