Ying Cheng

2.5k total citations · 1 hit paper
55 papers, 1.9k citations indexed

About

Ying Cheng is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Ying Cheng has authored 55 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 14 papers in Cancer Research and 6 papers in Surgery. Recurrent topics in Ying Cheng's work include MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (7 papers) and Cancer-related molecular mechanisms research (6 papers). Ying Cheng is often cited by papers focused on MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (7 papers) and Cancer-related molecular mechanisms research (6 papers). Ying Cheng collaborates with scholars based in China, United States and Australia. Ying Cheng's co-authors include Liming Chen, Bei Sun, Mei Xue, Yunhong Lu, Xiaochen Yu, Fei Han, Siyuan Zhou, Linxin Xu, Bang‐Le Zhang and Daozhou Liu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Ying Cheng

53 papers receiving 1.9k citations

Hit Papers

SGLT2 inhibition with empagliflozin attenuates myocardial... 2019 2026 2021 2023 2019 100 200 300 400

Peers

Ying Cheng
Comparison fields: 5 of 105
  • Molecular Biology 936
  • Endocrinology, Diabetes and Metabolism 483
  • Surgery 345
  • Cardiology and Cardiovascular Medicine 292
  • Cancer Research 246
Replace Dongming Su with:
Dongming Su China
Chi Zhang China
M. Yvonne Alexander United Kingdom
Stephen P. Gray Australia
Qun Li China
Daisuke Ogawa Japan
Fengshuang An China
Yosuke Inagaki Japan
Petra Ročić United States
Dongming Su China View profile →
Citations per field, relative to Ying Cheng
Ying Cheng · 1×
Citations per year, relative to Ying Cheng
Ying Cheng · 1×

Countries citing papers authored by Ying Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ying Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Cheng. A scholar is included among the top collaborators of Ying Cheng 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 Ying Cheng. Ying Cheng 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
# Work Indexed citations
1 15
2 8
3 2
4 10
5 9
6 6
7 12
8 42
9 9
10 7
11 86
12 7
13 90
14 85
15 180
16 24
17 93
18 0
19 14
20 13

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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