Bei Tang

66 papers receiving 1.1k citations

Peers

Bei Tang
Comparison fields: 5 of 109
  • Biomaterials 370
  • Metals and Alloys 52
  • Hepatology 140
  • Mechanical Engineering 492
  • Materials Chemistry 330
Replace Jiahui Chen with:
Jiahui Chen China
Xinmin Feng China
Dan Yao China
Sangeun Park South Korea
Chao Lu China
Harumasa Nakamura Japan
Hang Zhang China
Xuehong Xu China
Maria Martinesi Italy
Bei Tang relative to Jiahui Chen China Jiahui Chen's profile →
Citations per field
00.5×10×14×
Jiahui Chen · 1×
Citations per year

Countries citing papers authored by Bei Tang

Since Specialization
Citations

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

Fields of papers citing papers by Bei Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020223
2 2015100
3 201789
4 201467
5 201958
6 200356
7 201142
8 201933
9 201630
10 201627
11 201927
12
LINC02362/hsa-miR-18a-5p/FDX1 axis suppresses proliferation and drives cuproptosis and oxaliplatin sensitivity of hepatocellular carcinoma.
202326
13 201126
14 202124
15 201622
16 202115
17 202314
18 201014
19 201514
20 202213

About Bei Tang

Bei Tang is a scholar working on Molecular Biology, Mechanical Engineering, Cellular and Molecular Neuroscience, Hepatology and Pulmonary and Respiratory Medicine, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Aluminum Alloys Composites Properties (8 papers), Hereditary Neurological Disorders (6 papers), Magnesium Alloys: Properties and Applications (6 papers), Genetic Neurodegenerative Diseases (6 papers), Cancer Mechanisms and Therapy (5 papers), Cancer, Lipids, and Metabolism (4 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Biomaterials (370 citations), Metals and Alloys (52 citations), Hepatology (140 citations), Mechanical Engineering (492 citations) and Materials Chemistry (330 citations). Bei Tang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chuming Liu, Yonghao Gao, Shunong Jiang, Yingchun Wan, Zhenggang Ren, Zhiyong Chen, Xin Yin, Lan Zhang, Bo Zhang and Ningning Liang. Their work appears in journals such as Frontiers in Immunology, Transactions of Nonferrous Metals Society of China, Materials Science and Engineering A, Journal of Clinical Oncology and Digestive and Liver Disease.

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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