Zhong-Xin Wu

797 citations
26 papers · 633 indexed · h-index 17

Zhong-Xin Wu

26 papers receiving 621 citations

Peers

Zhong-Xin Wu
Comparison fields: 5 of 86
  • Endocrine and Autonomic Systems 114
  • Health, Toxicology and Mutagenesis 190
  • Physiology 306
  • Sensory Systems 47
  • Cellular and Molecular Neuroscience 118
Replace T. Takishima with:
T. Takishima Japan
N. C. Long United States
Aki Lumme Finland
Dirk Pallapies Germany
D. R. Mouw United States
Cynthia Shope United States
K.‐E. ANDERSSON Sweden
A H Mines United States
Roberto Monreal‐Robles Mexico
Csaba Csontos Hungary
Zhong-Xin Wu relative to T. Takishima Japan T. Takishima's profile →
Citations per field
00.5×7.6×
T. Takishima · 1×
Citations per year

Countries citing papers authored by Zhong-Xin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhong-Xin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhong-Xin Wu. 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 Zhong-Xin Wu. The network helps show where Zhong-Xin Wu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20172
2 201523
3 201511
4 201319
5 20124
6 201120
7 201124
8 201019
9 200951
10
[Experimental study progress on tribendimidine, artemether and artesunate against Clonorchis sinensis and other trematodes].
20092
11 200815
12 200619
13 200555
14 20044
15 200150
16 200037
17 199940
18 19983
19 199723
20 199621

About Zhong-Xin Wu

Zhong-Xin Wu is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Physiology, having authored 26 papers that have together received 633 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (10 papers), Neuropeptides and Animal Physiology (9 papers), Neuroscience of respiration and sleep (7 papers), Air Quality and Health Impacts (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Circadian rhythm and melatonin (2 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (114 citations), Health, Toxicology and Mutagenesis (190 citations) and Physiology (306 citations). Zhong-Xin Wu has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Richard D. Dey, Lu‐Yuan Lee, Dawn D. Hunter, Vincent L. Kish, Michael L. Kashon, Gang Chen, Phyllis M. Wise, Lan Xiao, R. F. Morton and Kevin Kwong. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, The FASEB Journal and Environmental Health Perspectives.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026