Ailing Ji

3.3k citations
67 papers · 2.4k · h-index 28

Impact in

Papers in

    • Amyloidosis: Diagnosis, Treatment, Outcomes 11
    • Peroxisome Proliferator-Activated Receptors 6
    • Cholesterol and Lipid Metabolism 9
    • Pancreatitis Pathology and Treatment 7

Ailing Ji

66 papers receiving 2.4k citations

Peers

Ailing Ji
Comparison fields: 5 of 124
  • Biochemistry 565
  • Immunology 347
  • Endocrinology, Diabetes and Metabolism 219
  • Endocrine and Autonomic Systems 82
  • Cancer Research 169
Replace Mauricio Di Silvio with:
Mauricio Di Silvio United States
Balu K. Chacko United States
M. Inoue Japan
Salim Merali United States
Shigemoto Fujii Japan
Pavel Babál Slovakia
Timothy R. Billiar United States
Shinichi Oka United States
Sebastiano Colombatto Italy
Koichiro Wada Japan
Ailing Ji relative to Mauricio Di Silvio United States Mauricio Di Silvio's profile →
Citations per field
00.5×10×15.7×
Mauricio Di Silvio · 1×
Citations per year

Countries citing papers authored by Ailing Ji

Since Specialization
Citations

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

Fields of papers citing papers by Ailing Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ailing Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ailing Ji Line = papers co-authored together Ailing Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015200
2 2017188
3 2008139
4 2015126
5 2017109
6 2018108
7 201798
8 201595
9 201290
10 201169
11 201763
12 201959
13 201257
14 201155
15 201054
16 201748
17 201346
18 202143
19 202040
20 201939

About Ailing Ji

Ailing Ji is a scholar working on Molecular Biology, Surgery, Epidemiology, Biochemistry and Oncology, having authored 67 papers that have together received 2.4k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (11 papers), Sulfur Compounds in Biology (10 papers), Cholesterol and Lipid Metabolism (9 papers), Liver Disease Diagnosis and Treatment (8 papers), Pancreatitis Pathology and Treatment (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Drug Transport and Resistance Mechanisms (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Biochemistry (565 citations), Immunology (347 citations), Endocrinology, Diabetes and Metabolism (219 citations), Endocrine and Autonomic Systems (82 citations) and Cancer Research (169 citations). Ailing Ji has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dongdong Wu, Deneys R. van der Westhuyzen, Yanzhang Li, Yanzhang Li, Lei Cai, Tieshan Teng, Frederick C. de Beer, Nancy R. Webb, Lisa R. Tannock and Maria C. de Beer. Their work appears in journals such as Journal of Lipid Research, Arteriosclerosis Thrombosis and Vascular Biology, Oxidative Medicine and Cellular Longevity, Scientific Reports and PLoS ONE.

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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