Junjie Yang

6.0k citations
134 papers · 4.2k · h-index 32

Impact in

Papers in

    • Extracellular vesicles in disease 6
    • Congenital heart defects research 5
    • Tissue Engineering and Regenerative Medicine 6

Junjie Yang

121 papers receiving 4.2k citations

Peers

Junjie Yang
Comparison fields: 5 of 139
  • Cancer Research 865
  • Ophthalmology 487
  • Genetics 343
  • Molecular Biology 2.3k
  • Neurology 223
Replace Wei Huang with:
Wei Huang China
Bogusław Machaliński Poland
Christopher A. Mitchell United Kingdom
Ping Gu China
Massoud Mirshahi France
Paolo Madeddu United Kingdom
Masaaki Ii Japan
Anandwardhan A. Hardikar Australia
Xiaomeng Wang China
Tero A.H. Järvinen Finland
Junjie Yang relative to Wei Huang China Wei Huang's profile →
Citations per field
00.5×2.6×
Wei Huang · 1×
Citations per year

Countries citing papers authored by Junjie Yang

Since Specialization
Citations

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

Fields of papers citing papers by Junjie Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junjie Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junjie Yang Line = papers co-authored together Junjie Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015400
2 2018349
3 2018220
4 2016183
5 2008180
6 2019172
7 2003167
8 2017150
9 2021141
10
Serum autoantibody against glutathione S-transferase in patients with glaucoma.
2001131
11 2011105
12 2017101
13 200189
14 202179
15 200371
16 201870
17 201467
18 201766
19
Induction of HLA-DR expression in human lamina cribrosa astrocytes by cytokines and simulated ischemia.
200164
20 202262

About Junjie Yang

Junjie Yang is a scholar working on Molecular Biology, Surgery, Oncology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 134 papers that have together received 4.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (6 papers), MicroRNA in disease regulation (6 papers), Tissue Engineering and Regenerative Medicine (6 papers), Extracellular vesicles in disease (6 papers), Congenital heart defects research (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Cardiac Imaging and Diagnostics (5 papers) and Membrane Separation Technologies (5 papers). The work is most often cited by research in Cancer Research (865 citations), Ophthalmology (487 citations), Genetics (343 citations), Molecular Biology (2.3k citations) and Neurology (223 citations). Junjie Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhenya Shen, Martin B. Wax, Ziying Yang, Jiacheng Sun, Gülgün Tezel, Rajkumar V. Patil, Yueqiu Chen, Weiqian Chen, Xiao-Mei Teng and Lei Chen. Their work appears in journals such as Stem Cell Research & Therapy, PLoS ONE, The CRISPR Journal, International Immunopharmacology and Journal of Energy Storage.

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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