Yunting Wang

741 total citations
32 papers, 548 citations indexed

About

Yunting Wang is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yunting Wang has authored 32 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Physiology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yunting Wang's work include Growth Hormone and Insulin-like Growth Factors (5 papers), Nutrition and Health in Aging (3 papers) and Acupuncture Treatment Research Studies (3 papers). Yunting Wang is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (5 papers), Nutrition and Health in Aging (3 papers) and Acupuncture Treatment Research Studies (3 papers). Yunting Wang collaborates with scholars based in China, United States and Taiwan. Yunting Wang's co-authors include Zhen Chen, Feng‐Mao Lin, Nain‐Feng Chu, Yilin Zhang, Yuanyuan Yue, Shu Chien, Mano R. Maurya, Nassim E. Ajami, Shakti Gupta and Yifei Miao and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yunting Wang

30 papers receiving 544 citations

Peers

Yunting Wang
Comparison fields: 5 of 96
  • Molecular Biology 313
  • Cancer Research 208
  • Physiology 90
  • Immunology 37
  • Surgery 32
Replace Marina Comelli with:
Marina Comelli Italy
Qinghui Xiong China
Zhuqing Shen China
Rieko Takanabe‐Mori Japan
Viviana P. Montecinos Chile
Peter M. Scarbrough United States
Ana Banjac Germany
Meiling Zuo China
Thamara Nishida Xavier da Silva Brazil
Marina Comelli Italy View profile →
Citations per field, relative to Yunting Wang
Yunting Wang · 1×
Citations per year, relative to Yunting Wang
Yunting Wang · 1×

Countries citing papers authored by Yunting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yunting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunting Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yunting Wang. A scholar is included among the top collaborators of Yunting Wang 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 Yunting Wang. Yunting Wang 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 4
3 1
4 0
5 1
6 2
7 4
8 0
9 3
10 9
11 7
12 4
13 5
14 46
15 7
16 2
17 5
18 128
19 6
20 154

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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