Di Ai

1.6k citations
37 papers · 1.0k · h-index 17

Impact in

Papers in

Di Ai

34 papers receiving 1.0k citations

Peers

Di Ai
Comparison fields: 5 of 101
  • Cardiology and Cardiovascular Medicine 231
  • Molecular Biology 584
  • Hematology 75
  • Genetics 69
  • Cancer Research 94
Replace Jianru Shi with:
Jianru Shi United States
Magdalena L. Bochenek Germany
Ruri Kaneda Japan
Zhengyu Luo United States
Fu-Li Xiang Canada
László Hegyi United Kingdom
Xingbo Xu Germany
Marianne Gervais France
Mauro Siragusa Germany
Archana Bommi‐Reddy United States
Di Ai relative to Jianru Shi United States Jianru Shi's profile →
Citations per field
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Jianru Shi · 1×
Citations per year

Countries citing papers authored by Di Ai

Since Specialization
Citations

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

Fields of papers citing papers by Di Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Di Ai, 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 Di Ai Line = papers co-authored together Di Ai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007156
2 2010137
3 2008104
4 200696
5 200691
6 201661
7 201534
8 202133
9 201429
10 200729
11 201927
12 201124
13 202122
14 201520
15 201919
16
Impaired Immune Function in Patients Undergoing Surgery for Bone Cancer.
201518
17 201616
18
Chemotherapy-induced cardiovascular toxicity: beyond anthracyclines.
201415
19 202214
20 202313

About Di Ai

Di Ai is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Congenital heart defects research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Breast Cancer Treatment Studies (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (3 papers), Breast Lesions and Carcinomas (3 papers), Developmental Biology and Gene Regulation (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (231 citations), Molecular Biology (584 citations), Hematology (75 citations), Genetics (69 citations) and Cancer Research (94 citations). Di Ai has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include James F. Martin, Antonio Baldini, William H. Klein, Li Chen, Xueyao Fu, Jun Wang, Wei Liu, Juan P. Cata, Fang Yu and Tiffany Shih. Their work appears in journals such as Journal of Cardiothoracic and Vascular Anesthesia, Proceedings of the National Academy of Sciences, Journal of Molecular and Cellular Cardiology, Histopathology and Journal of Surgical Research.

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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