Qi‐Qun Tang

2.5k citations
59 papers · 1.8k indexed · 1 hit paper · h-index 29
Topics
Adipose Tissue and Metabolism (34 papers)Adipokines, Inflammation, and Metabolic Diseases (21 papers)Cardiovascular Disease and Adiposity (6 papers)

In The Last Decade

Qi‐Qun Tang

59 papers receiving 1.8k citations

Hit Papers

Artemisinins ameliorate polycystic ovarian syndrome by me...20242026202520241020304050

Peers

Qi‐Qun Tang
Comparison fields: 5 of 105
  • Molecular Biology 790
  • Physiology 691
  • Epidemiology 598
  • Cancer Research 238
  • Immunology 188
Replace Alexandra L. Ghaben with:
Alexandra L. Ghaben United States
Tayeba Khan United States
Lei Qi China
Alexander P. Sakers United States
Clair Crewe United States
Mengliu Yang China
Haiyan Huang China
John T. Heiker Germany
Geneviève Marcelin France
Christopher Church United States
Qi‐Qun Tang relative to Alexandra L. Ghaben United States Alexandra L. Ghaben's profile →
Citations per field
00.5×20×40×57×
Alexandra L. Ghaben · 1×
Citations per year

Countries citing papers authored by Qi‐Qun Tang

Since Specialization
Citations

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

Fields of papers citing papers by Qi‐Qun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi‐Qun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Qi‐Qun Tang. A scholar is included among the top collaborators of Qi‐Qun 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 Qi‐Qun Tang. Qi‐Qun 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
#WorkIndexed citations
1 1
2
Artemisinins ameliorate polycystic ovarian syndrome by mediating LONP1-CYP11A1 interactionbreakdown →
53
3 4
4 18
5 61
6 32
7 9
8 76
9 12
10 37
11 2
12 41
13 75
14 42
15 32
16 38
17 25
18 42
19 58
20 90

About Qi‐Qun Tang

Qi‐Qun Tang is a scholar working on Physiology, Epidemiology and Genetics, having authored 59 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (34 papers), Adipokines, Inflammation, and Metabolic Diseases (21 papers) and Cardiovascular Disease and Adiposity (6 papers). The work is most often cited by research in Physiology (691 citations), Epidemiology (598 citations) and Cancer Research (238 citations). Qi‐Qun Tang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include M. Daniel Lane, Shuwen Qian, Liang Guo, Yan Tang, Baiyu Li, Wan-Qiu Peng, Yang Liu, Haiyan Huang, Jiangwen Zhang and Dongning Pan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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