Ailing Ji

3.2k citations
66 papers · 2.3k · h-index 27

Impact in

Papers in

    • Amyloidosis: Diagnosis, Treatment, Outcomes 10
    • Peroxisome Proliferator-Activated Receptors 9
    • Pancreatitis Pathology and Treatment 11
    • Cholesterol and Lipid Metabolism 11

Ailing Ji

64 papers receiving 2.3k citations

Peers

Ailing Ji
Comparison fields: 5 of 128
  • Biochemistry 566
  • Immunology 385
  • Endocrinology, Diabetes and Metabolism 236
  • Cancer Research 200
  • Endocrine and Autonomic Systems 87
Replace Yanlin Wang with:
Yanlin Wang China
Paul C. Norris United States
Balu K. Chacko United States
Joakim Huber Austria
M. Inoue Japan
Pavel Babál Slovakia
Salim Merali United States
Christophe Moinard France
Timothy R. Billiar United States
Francisco J. Rios United Kingdom
Ailing Ji relative to Yanlin Wang China Yanlin Wang's profile →
Citations per field
00.5×
Yanlin Wang · 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 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015197
2 2017180
3 2008134
4 2015122
5 2017107
6 2018106
7 201797
8 201590
9 201286
10 201167
11 201761
12 201956
13 201256
14 201154
15 201053
16 201345
17 201744
18 202141
19 202039
20 201839

About Ailing Ji

Ailing Ji is a scholar working on Molecular Biology, Surgery, Epidemiology, Oncology and Biochemistry, having authored 66 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (11 papers), Cholesterol and Lipid Metabolism (11 papers), Sulfur Compounds in Biology (10 papers), Liver Disease Diagnosis and Treatment (10 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (10 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Drug Transport and Resistance Mechanisms (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Biochemistry (566 citations), Immunology (385 citations), Endocrinology, Diabetes and Metabolism (236 citations), Cancer Research (200 citations) and Endocrine and Autonomic Systems (87 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 Atherosclerosis.

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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