Yan Yang

5.8k total citations · 1 hit paper
187 papers, 4.2k citations indexed

About

Yan Yang is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Epidemiology. According to data from OpenAlex, Yan Yang has authored 187 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Endocrinology, Diabetes and Metabolism, 36 papers in Physiology and 27 papers in Epidemiology. Recurrent topics in Yan Yang's work include Diabetes Treatment and Management (12 papers), Pancreatic function and diabetes (11 papers) and Diet, Metabolism, and Disease (10 papers). Yan Yang is often cited by papers focused on Diabetes Treatment and Management (12 papers), Pancreatic function and diabetes (11 papers) and Diet, Metabolism, and Disease (10 papers). Yan Yang collaborates with scholars based in China, United States and Canada. Yan Yang's co-authors include Xuefeng Yu, Shujun Zhang, Kun Dong, Delin Ma, Xiaoli Shi, Muxun Zhang, Yongli Yan, Fen Wang, Huihui Ren and Wei Jiang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Yan Yang

176 papers receiving 4.2k citations

Hit Papers

Clinical characteristics and outcomes of patients with se... 2020 2026 2022 2024 2020 100 200 300 400

Peers

Yan Yang
Comparison fields: 5 of 192
  • Endocrinology, Diabetes and Metabolism 918
  • Molecular Biology 843
  • Physiology 766
  • Epidemiology 612
  • Infectious Diseases 510
Replace Domenico Girelli with:
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Domenico Girelli Italy View profile →
Citations per field, relative to Yan Yang
Yan Yang · 1×
Citations per year, relative to Yan Yang
Yan Yang · 1×

Countries citing papers authored by Yan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Yang. A scholar is included among the top collaborators of Yan Yang 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 Yan Yang. Yan Yang 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 1
2 1
3 0
4 0
5 6
6 1
7 7
8 4
9 9
10 8
11 4
12 17
13 60
14
Clinical characteristics and outcomes of patients with severe covid-19 with diabetes breakdown →
408
15 8
16 28
17 20
18 59
19 18
20
Analysis of HLA-DQB1 alleles polymorphism in children with diseases of upper digestive tract in Chengdu area
1

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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