Ying Leng

732 total citations
19 papers, 575 citations indexed

About

Ying Leng is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Ying Leng has authored 19 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Surgery and 3 papers in Epidemiology. Recurrent topics in Ying Leng's work include Metabolism, Diabetes, and Cancer (12 papers), Pancreatic function and diabetes (7 papers) and Adipose Tissue and Metabolism (3 papers). Ying Leng is often cited by papers focused on Metabolism, Diabetes, and Cancer (12 papers), Pancreatic function and diabetes (7 papers) and Adipose Tissue and Metabolism (3 papers). Ying Leng collaborates with scholars based in China, Sweden and United States. Ying Leng's co-authors include Juleen R. Zierath, Anna Krook, Tatiana L. Steiler, David Kramer, Lubna Al‐Khalili, Pablo M. García-Rovés, Bruno Guigas, Alexander Chibalin, Marc Gilbert and Suling Huang and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Diabetes.

In The Last Decade

Ying Leng

17 papers receiving 573 citations

Peers

Ying Leng
Comparison fields: 5 of 75
  • Molecular Biology 392
  • Physiology 231
  • Surgery 118
  • Cell Biology 90
  • Epidemiology 88
Replace Agnieszka Mikłosz with:
Agnieszka Mikłosz Poland
Russell Watts Canada
Tianluo Lei China
Vera Lemos Switzerland
Mireia Jové Spain
Marina Roques France
Leslie Carter United States
Serge Ducommun Switzerland
Tomotaka Yokoo Japan
Amandine Girousse France
Agnieszka Mikłosz Poland View profile →
Citations per field, relative to Ying Leng
Ying Leng · 1×
Citations per year, relative to Ying Leng
Ying Leng · 1×

Countries citing papers authored by Ying Leng

Since Specialization
Citations

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

Fields of papers citing papers by Ying Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Leng

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Leng. A scholar is included among the top collaborators of Ying Leng 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 Leng. Ying Leng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 1
3 9
4 7
5 6
6 5
7 25
8 0
9 21
10 26
11 14
12
Elevation and Deformation Estimation based on TomoSAR
1
13 0
14 189
15 147
16
[A study of hemodynamic changes in the arteries of rabbit's eye caused by acute high intraocular pressure].
1
17 40
18 47
19 35

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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2026