Jun Yang

4.3k citations
116 papers · 3.7k · h-index 30

Impact in

Papers in

    • Electrospun Nanofibers in Biomedical Applications 19
    • Liver physiology and pathology 12

Jun Yang

109 papers receiving 3.6k citations

Peers

Jun Yang
Comparison fields: 5 of 134
  • Biomaterials 1.3k
  • Molecular Medicine 326
  • Rehabilitation 240
  • Nutrition and Dietetics 446
  • Hepatology 213
Replace Effat Alizadeh with:
Effat Alizadeh Iran
Chong-Su Cho South Korea
Koei Kawakami Japan
Hiroyuki Ijima Japan
Minoru Morimoto Japan
Di Li China
Berit Lokensgard Strand Norway
Jie Liang China
Baoqin Han China
Xiao Chen China
Jun Yang relative to Effat Alizadeh Iran Effat Alizadeh's profile →
Citations per field
00.5×2×3×4.4×
Effat Alizadeh · 1×
Citations per year

Countries citing papers authored by Jun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun 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 Jun Yang Line = papers co-authored together Jun Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002333
2 2020252
3 1991201
4 1990191
5 2011179
6 2003143
7 2002133
8 2008117
9 201793
10 198792
11 201585
12 200182
13 201681
14 201978
15 200977
16 200972
17
An optimized mini-preparation method to obtain high-quality genomic DNA from mature leaves of sunflower.
200763
18 202054
19 201550
20 202248

About Jun Yang

Jun Yang is a scholar working on Biomaterials, Hepatology, Genetics, Surgery and Molecular Biology, having authored 116 papers that have together received 3.7k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (20 papers), Electrospun Nanofibers in Biomedical Applications (19 papers), Tissue Engineering and Regenerative Medicine (18 papers), Liver physiology and pathology (12 papers), Mesenchymal stem cell research (12 papers), Advanced biosensing and bioanalysis techniques (11 papers), Pancreatic function and diabetes (9 papers) and Dendrimers and Hyperbranched Polymers (8 papers). The work is most often cited by research in Biomaterials (1.3k citations), Molecular Medicine (326 citations), Rehabilitation (240 citations), Nutrition and Dietetics (446 citations) and Hepatology (213 citations). Jun Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Raymond F. Burk, Toshihiro Akaike, Zhongwei Gu, Robert J. Read, Kristina E. Hill, Chong Su Cho, Jae Woon Nah, Su Il Kim, Hongli Mao and Yiyan He. Their work appears in journals such as Journal of Materials Chemistry B, Biomaterials, ACS Applied Materials & Interfaces, Journal of Biomaterials Science Polymer Edition 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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