Changjun Yang

2.4k total citations · 1 hit paper
49 papers, 1.7k citations indexed

About

Changjun Yang is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Changjun Yang has authored 49 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Neurology and 13 papers in Physiology. Recurrent topics in Changjun Yang's work include Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Mitochondrial Function and Pathology (9 papers) and Adipose Tissue and Metabolism (7 papers). Changjun Yang is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Mitochondrial Function and Pathology (9 papers) and Adipose Tissue and Metabolism (7 papers). Changjun Yang collaborates with scholars based in United States, China and Brazil. Changjun Yang's co-authors include Eduardo Candelario‐Jalil, Kimberly E. Hawkins, Sylvain Doré, Kelly M. DeMars, Jay L. Zweíer, Anastasios Matzavinos, B. Rita Alevriadou, Randy J. Giedt, Daxiang Li and Gary A. Rosenberg and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Stroke.

In The Last Decade

Changjun Yang

47 papers receiving 1.6k citations

Hit Papers

Neuroinflammatory mechanisms of blood-brain barrier damag... 2018 2026 2020 2023 2018 200 400 600

Peers

Changjun Yang
Comparison fields: 5 of 107
  • Molecular Biology 723
  • Neurology 585
  • Physiology 297
  • Epidemiology 208
  • Immunology 156
Replace Jin‐Hua Gu with:
Jin‐Hua Gu China
Wei Yin United States
Nobuya Okami United States
John Thundyil Australia
Liang Hu China
Keiichiro Kataoka Japan
Yingze Ye China
Yoko Okamoto Japan
Dayun Feng China
Jin‐Hua Gu China View profile →
Citations per field, relative to Changjun Yang
Changjun Yang · 1×
Citations per year, relative to Changjun Yang
Changjun Yang · 1×

Countries citing papers authored by Changjun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Changjun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changjun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Changjun Yang. A scholar is included among the top collaborators of Changjun 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 Changjun Yang. Changjun 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 3
3 2
4 10
5 40
6 6
7 23
8 42
9 1
10 15
11 40
12 55
13 44
14 1
15 44
16 12
17 1
18 28
19 23
20 8

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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