Wei-can Chen

567 citations
26 papers · 373 · h-index 9

Impact in

Papers in

Wei-can Chen

25 papers receiving 367 citations

Peers

Wei-can Chen
Comparison fields: 5 of 79
  • Developmental Neuroscience 92
  • Critical Care and Intensive Care Medicine 94
  • Anesthesiology and Pain Medicine 48
  • Neurology 39
  • Cellular and Molecular Neuroscience 81
Replace Fangxiang Zhang with:
Fangxiang Zhang China
C Young Taiwan
Onat Akyol United States
Masakazu Kotoda Japan
Lunxu Li China
Tianfeng Huang China
Mona Skard Heier Norway
Wei-can Chen relative to Fangxiang Zhang China Fangxiang Zhang's profile →
Citations per field
00.5×2.5×
Fangxiang Zhang · 1×
Citations per year

Countries citing papers authored by Wei-can Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wei-can Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-can Chen. 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 Wei-can Chen. The network helps show where Wei-can Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202179
2 202075
3 202146
4 202146
5 202225
6 202118
7 202316
8 202214
9 20219
10 20108
11 20246
12 20225
13 20194
14 20234
15 20233
16 20243
17 20242
18 20232
19 20232
20 20251

About Wei-can Chen

Wei-can Chen is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Critical Care and Intensive Care Medicine, Developmental Neuroscience and Anesthesiology and Pain Medicine, having authored 26 papers that have together received 373 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (6 papers), Anesthesia and Neurotoxicity Research (5 papers), Spinal Cord Injury Research (4 papers), Anesthesia and Sedative Agents (3 papers), Spine and Intervertebral Disc Pathology (2 papers), Mesenchymal stem cell research (2 papers), Anesthesia and Pain Management (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Developmental Neuroscience (92 citations), Critical Care and Intensive Care Medicine (94 citations), Anesthesiology and Pain Medicine (48 citations), Neurology (39 citations) and Cellular and Molecular Neuroscience (81 citations). Wei-can Chen has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include He‐fan He, Shu Lin, Yibin Liu, Yan Zhang, Weifeng Liu, Yan‐Chuan Shi, Yan Zhang, Yan Zhang, Weifeng Liu and Lihong Zhang. Their work appears in journals such as Frontiers in Cellular Neuroscience, Molecular Neurobiology, TrAC Trends in Analytical Chemistry, Scientific Reports and Frontiers in Aging Neuroscience.

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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