Yan Tang

3.5k total citations · 2 hit papers
86 papers, 2.7k citations indexed

About

Yan Tang is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Yan Tang has authored 86 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 24 papers in Physiology and 20 papers in Epidemiology. Recurrent topics in Yan Tang's work include Adipose Tissue and Metabolism (18 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers) and Ubiquitin and proteasome pathways (9 papers). Yan Tang is often cited by papers focused on Adipose Tissue and Metabolism (18 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers) and Ubiquitin and proteasome pathways (9 papers). Yan Tang collaborates with scholars based in China, United States and United Kingdom. Yan Tang's co-authors include Shuwen Qian, Gary J. Schwartz, Youqing Xiang, Yen Luu, Jeffrey E. Pessin, Mark J. Czaja, Rajat Singh, Qi‐Qun Tang, Yongjun Wang and Ana María Cuervo and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Yan Tang

84 papers receiving 2.7k citations

Hit Papers

Autophagy regulates adipose mass and differentiation in mice 2009 2026 2014 2020 2009 2024 200 400 600

Peers

Yan Tang
Comparison fields: 5 of 126
  • Molecular Biology 1.1k
  • Epidemiology 994
  • Physiology 840
  • Cancer Research 337
  • Cell Biology 241
Replace Carolina E. Hagberg with:
Carolina E. Hagberg Sweden
Niklas Mejhert Sweden
Haiyan Xu United States
Susanne Schuster Germany
Germán Perdomo Spain
Xiaoyan Hui China
X. Charlie Dong United States
Annelie Falkevall Sweden
Ronni Nielsen Denmark
Xiong Su China
Carolina E. Hagberg Sweden View profile →
Citations per field, relative to Yan Tang
Yan Tang · 1×
Citations per year, relative to Yan Tang
Yan Tang · 1×

Countries citing papers authored by Yan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Tang. A scholar is included among the top collaborators of Yan Tang 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 Tang. Yan Tang 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 0
2 2
3 6
4 1
5
Artemisinins ameliorate polycystic ovarian syndrome by mediating LONP1-CYP11A1 interaction breakdown →
53
6 5
7 18
8 1
9 61
10 3
11 10
12 15
13 76
14 12
15 37
16 29
17 1
18 32
19
Autophagy regulates adipose mass and differentiation in mice breakdown →
623
20 48

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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