Dongying Li

1.2k citations
59 papers · 787 indexed · h-index 17
Topics
Cancer-related molecular mechanisms research (9 papers)MicroRNA in disease regulation (8 papers)Pharmacogenetics and Drug Metabolism (6 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Dongying Li

54 papers receiving 780 citations

Peers

Dongying Li
Comparison fields: 5 of 125
  • Molecular Biology 388
  • Cancer Research 176
  • Cell Biology 134
  • Pulmonary and Respiratory Medicine 107
  • Infectious Diseases 84
Replace Dezső Módos with:
Dezső Módos United Kingdom
Hailong Zhu China
Bowen Xie China
Chien-an A. Hu United States
Ran Fei China
Seyed Rouhollah Miri Iran
Anja Wilmes Austria
Gabriella Marfè Italy
Teng Liu China
Elizabeth Ortíz-Sánchez Mexico
Dongying Li relative to Dezső Módos United Kingdom Dezső Módos's profile →
Citations per field
00.5×2.5×
Dezső Módos · 1×
Citations per year

Countries citing papers authored by Dongying Li

Since Specialization
Citations

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

Fields of papers citing papers by Dongying Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongying Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dongying Li. A scholar is included among the top collaborators of Dongying Li 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 Dongying Li. Dongying Li 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 2
3 2
4 1
5 4
6 0
7 10
8 9
9 3
10 13
11 14
12 31
13 25
14 2
15 16
16 8
17 55
18 16
19
Regulation of cytochrome P450 expression by microRNAs and long noncoding RNAs: Epigenetic mechanisms in environmental toxicology and carcinogenesis
4
20 55

About Dongying Li

Dongying Li is a scholar working on Pharmacology, Health Informatics and Cancer Research, having authored 59 papers that have together received 787 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (8 papers) and Pharmacogenetics and Drug Metabolism (6 papers). The work is most often cited by research in Cancer Research (176 citations), Cell Biology (134 citations) and Pharmacology (66 citations). Dongying Li has collaborated with scholars based in China, United States and France. Frequent co-authors include Rytis Prekeris, Baitang Ning, Weida Tong, Lei Guo, Si Chen, William H. Tolleson, Dianke Yu, Louis Cicchini, Jie Bao and Ben Margolis. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Chemical Engineering Journal.

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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