Pengyu Tang

2.2k citations
33 papers · 1.4k indexed · 1 hit paper · h-index 17
Topics
Extracellular vesicles in disease (10 papers)Spinal Cord Injury Research (10 papers)Spine and Intervertebral Disc Pathology (9 papers)
Partner nations
ChinaSouth Korea

In The Last Decade

Pengyu Tang

30 papers receiving 1.4k citations

Hit Papers

Neural stem cell-derived small extracellular vesicles att...2019202620212023201950100150200250

Peers

Pengyu Tang
Comparison fields: 5 of 91
  • Molecular Biology 889
  • Pathology and Forensic Medicine 421
  • Cancer Research 304
  • Genetics 187
  • Cellular and Molecular Neuroscience 164
Replace Chengyue Ji with:
Chengyue Ji China
Dongdong Jiang China
Sipin Zhu China
Fangyi Gong China
Yuluo Rong China
Jinlong Zhang China
Jin Fan China
Dingfei Qian China
Wen Yuan China
Shaoqiong Chen China
Pengyu Tang relative to Chengyue Ji China Chengyue Ji's profile →
Citations per field
00.5×3.7×
Chengyue Ji · 1×
Citations per year

Countries citing papers authored by Pengyu Tang

Since Specialization
Citations

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

Fields of papers citing papers by Pengyu Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengyu Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Pengyu Tang. A scholar is included among the top collaborators of Pengyu Tang 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 Pengyu Tang. Pengyu Tang 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
#WorkIndexed citations
1 0
2 11
3 3
4 18
5 20
6 18
7 74
8 5
9 2
10 1
11
Neural stem cell-derived small extracellular vesicles attenuate apoptosis and neuroinflammation after traumatic spinal cord injury by activating autophagybreakdown →
253
12 44
13 226
14 10
15 11
16 8
17 34
18 18
19 11
20 3

About Pengyu Tang

Pengyu Tang is a scholar working on Pathology and Forensic Medicine, Neurology and Molecular Biology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (10 papers), Spinal Cord Injury Research (10 papers) and Spine and Intervertebral Disc Pathology (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (421 citations), Cancer Research (304 citations) and Neurology (151 citations). Pengyu Tang has collaborated with scholars based in China and South Korea. Frequent co-authors include Yuluo Rong, Weihua Cai, Guoyong Yin, Jiaxing Wang, Yongjun Luo, Wei Liu, Jian Chen, Fanqi Kong, Jin Fan and Chengyue Ji. Their work appears in journals such as Journal of Neuroscience, The FASEB Journal and ACS Applied Materials & Interfaces.

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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