Ziqiang Wang

3.7k citations
173 papers · 2.6k indexed · 1 hit paper · h-index 26

Ziqiang Wang

153 papers receiving 2.5k citations

Hit Papers

lncRNA NEAT1: Key player in neurodegenerative diseases822023202620242025255075

Peers

Ziqiang Wang
Comparison fields: 5 of 148
  • Cancer Research 564
  • Physiology 141
  • Molecular Biology 1.1k
  • Structural Biology 17
  • Immunology 238
Replace Bin Huang with:
Bin Huang China
Yuzheng Zhao China
Kai Zhang China
Jian Lin China
Chang Deok Kim South Korea
Chun-Chi Liang United States
Woo Jin Park South Korea
Sung‐Woo Cho South Korea
Shili Xu United States
Qin Sun United States
Ziqiang Wang relative to Bin Huang China Bin Huang's profile →
Citations per field
00.5×4.3×
Bin Huang · 1×
Citations per year

Countries citing papers authored by Ziqiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ziqiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20258
3 20251
4 20250
5 20251
6 20242
7 20244
8 202443
9 20244
10 20240
11 20231
12 20201
13 20206
14 201974
15 201711
16 20169
17 20164
18
[Effect of Notch1 signaling pathway activation on pancreatic cancer cell proliferation in vitro].
20134
19 201011
20 200813

About Ziqiang Wang

Ziqiang Wang is a scholar working on Structural Biology, Cancer Research and Electrical and Electronic Engineering, having authored 173 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advancements in PLL and VCO Technologies (36 papers), Radio Frequency Integrated Circuit Design (31 papers), Cancer-related molecular mechanisms research (15 papers), Photonic and Optical Devices (14 papers), Analog and Mixed-Signal Circuit Design (12 papers), Semiconductor Lasers and Optical Devices (12 papers), RNA modifications and cancer (9 papers) and RNA Research and Splicing (9 papers). The work is most often cited by research in Cancer Research (564 citations), Physiology (141 citations) and Molecular Biology (1.1k citations). Ziqiang Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kun Li, Edward S. Yeung, Philip G. Haydon, Weiren Huang, Yaou Zhang, Zhihua Wang, Min Qian, Bing Du, Shikuan Zhang and Chun Zhang. Their work appears in journals such as Cellular and Molecular Life Sciences, IEEE Transactions on Circuits and Systems I Regular Papers, Journal of Cancer, Scientific Reports and Electronics Letters.

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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