Ge Tang

620 citations
29 papers · 444 · 1 hit paper · h-index 9

Impact in

Papers in

Ge Tang

25 papers receiving 440 citations

Ge Tang's Hit Papers

Epidemiological trends of subarachnoid hemorrhage at global, regional, and national level: a trend analysis study from 1990 to 2021 2024 · 67 citations
670+1Years since publication204060

Peers

Ge Tang
Comparison fields: 5 of 102
  • Biological Psychiatry 25
  • Periodontics 26
  • Behavioral Neuroscience 16
  • Genetics 34
  • Orthodontics 12
Replace Siqi Yao with:
Siqi Yao China
Marius Heitzer Germany
Si Wu China
Gabriella Vácz Hungary
Yuqiu Liu China
Celia Clemente Spain
Victoria Fröjd Sweden
Roman Moskalenko Ukraine
P. Gasser Switzerland
Henrik Løvschall Denmark
Ge Tang relative to Siqi Yao China Siqi Yao's profile →
Citations per field
00.5×10×12.5×
Siqi Yao · 1×
Citations per year

Countries citing papers authored by Ge Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ge Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015156
2
Epidemiological trends of subarachnoid hemorrhage at global, regional, and national level: a trend analysis study from 1990 to 2021
Hit paper breakdown →
202467
3 200844
4 201442
5 201934
6 201919
7 201911
8 20229
9 20188
10 20218
11 20216
12 20225
13 20185
14 20214
15 20224
16 20244
17 20224
18 20223
19
A Study on the Wear Resistance of Nano-Material/E51
20092
20 20232

About Ge Tang

Ge Tang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Civil and Structural Engineering, Cardiology and Cardiovascular Medicine and Radiation, having authored 29 papers that have together received 444 indexed citations. Recurring topics across this work include Integrated Circuits and Semiconductor Failure Analysis (4 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Radiation Detection and Scintillator Technologies (2 papers), Ga2O3 and related materials (2 papers), Photocathodes and Microchannel Plates (2 papers), Acute Ischemic Stroke Management (2 papers), Silicon and Solar Cell Technologies (2 papers) and GaN-based semiconductor devices and materials (2 papers). The work is most often cited by research in Biological Psychiatry (25 citations), Periodontics (26 citations), Behavioral Neuroscience (16 citations), Genetics (34 citations) and Orthodontics (12 citations). Ge Tang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yu Shen, Dian Jing, Zhihe Zhao, Jin Hao, Shishu Huang, Yueling Zhang, Rong Zhang, Wenhong Fan, Chun‐Mei Zhao and Mo Li. Their work appears in journals such as IEEE Transactions on Nuclear Science, Coronary Artery Disease, Applied Physics Express, Applied Physics Letters and BioMed Research International.

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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