Shaoshi Zhang

1.4k citations
24 papers · 674 · h-index 12

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function

Papers in

Shaoshi Zhang

21 papers receiving 667 citations

Peers

Shaoshi Zhang
Comparison fields: 5 of 102
  • Hepatology 173
  • Cognitive Neuroscience 153
  • Epidemiology 244
  • Infectious Diseases 56
  • Health Informatics 4
Replace Xufei Tan with:
Xufei Tan China
Xiuhua Peng China
Erica G. Weinstein United States
Junko Mori Japan
Liliana Gheorghe Romania
Thomas D. Palella United States
Matthew Lanza United States
Sophie Le Calvez France
Shaoshi Zhang relative to Xufei Tan China Xufei Tan's profile →
Citations per field
00.5×3.9×
Xufei Tan · 1×
Citations per year

Countries citing papers authored by Shaoshi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Shaoshi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019221
2 202088
3 202170
4 202265
5 199751
6 202227
7 202324
8 201823
9 202420
10 201918
11 199816
12 201815
13 199910
14 20188
15 20246
16 20244
17 20252
18
MicroRNA-766 Promotes The Proliferation, Migration And Invasion, And Inhibits The Apoptosis Of Cutaneous Squamous Cell Carcinoma Cells By Targeting PDCD5
20202
19 20242
20 20221

About Shaoshi Zhang

Shaoshi Zhang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Epidemiology and Hepatology, having authored 24 papers that have together received 674 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Hepatitis B Virus Studies (4 papers), Neural dynamics and brain function (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Hepatitis C virus research (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers) and Mental Health Research Topics (2 papers). The work is most often cited by research in Hepatology (173 citations), Cognitive Neuroscience (153 citations), Epidemiology (244 citations), Infectious Diseases (56 citations) and Health Informatics (4 citations). Shaoshi Zhang has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Maikel P. Peppelenbosch, Qiuwei Pan, Wenshi Wang, Zhongren Ma, Zhijiang Miao, Vincent R. Racaniello, Xumin Ou, Shan Li, Jiaye Liu and B.T. Thomas Yeo. Their work appears in journals such as Nature Communications, NeuroImage, Gene, The FASEB Journal and Reviews in Medical Virology.

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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