Tong Yang

2.3k total citations · 1 hit paper
31 papers, 1.7k citations indexed

About

Tong Yang is a scholar working on Molecular Biology, Neurology and Surgery. According to data from OpenAlex, Tong Yang has authored 31 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Neurology and 5 papers in Surgery. Recurrent topics in Tong Yang's work include Meningioma and schwannoma management (5 papers), Inflammasome and immune disorders (5 papers) and Glioma Diagnosis and Treatment (4 papers). Tong Yang is often cited by papers focused on Meningioma and schwannoma management (5 papers), Inflammasome and immune disorders (5 papers) and Glioma Diagnosis and Treatment (4 papers). Tong Yang collaborates with scholars based in United States, China and Switzerland. Tong Yang's co-authors include Joseph L. Goldstein, Michael S. Brown, Yi Gong, Daisuke Yabe, Michael E. Wright, Peter J. Espenshade, Ruedi Aebersold, Gabriel Mbalaviele, Yousef Abu‐Amer and Jianqiu Xiao and has published in prestigious journals such as Cell, Journal of Biological Chemistry and ACS Nano.

In The Last Decade

Tong Yang

29 papers receiving 1.7k citations

Hit Papers

Crucial Step in Cholesterol Homeostasis 2002 2026 2010 2018 2002 250 500 750

Peers

Tong Yang
Comparison fields: 5 of 111
  • Molecular Biology 881
  • Surgery 567
  • Cell Biology 221
  • Epidemiology 200
  • Cancer Research 200
Replace Bert Binas with:
Bert Binas South Korea
Gianluca Baldanzi Italy
Michael K. Jones United States
Michinari Nakamura United States
Shan Jiang China
Woo‐Jae Park South Korea
Fei Xiao China
Eiji Yoshihara Japan
Hideru Obinata Japan
Anna M. Gómèz‐Foix Spain
Bert Binas South Korea View profile →
Citations per field, relative to Tong Yang
Tong Yang · 1×
Citations per year, relative to Tong Yang
Tong Yang · 1×

Countries citing papers authored by Tong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Tong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Tong Yang. A scholar is included among the top collaborators of Tong 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 Tong Yang. Tong 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 0
2 1
3 2
4 0
5 13
6 16
7 40
8 40
9 28
10 40
11 15
12 72
13 4
14 13
15 28
16 3
17 40
18 7
19
Crucial Step in Cholesterol Homeostasis breakdown →
832
20 74

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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