Wan-Ling Chen

626 citations
28 papers · 435 · h-index 13

Impact in

Papers in

Wan-Ling Chen

24 papers receiving 428 citations

Peers

Wan-Ling Chen
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 73
  • Immunology 79
  • Oncology 69
  • Developmental Neuroscience 10
  • Neurology 20
Replace Piotr Chrościcki with:
Piotr Chrościcki Poland
Benoît Hosten France
Sinoj K. John United States
Koshi Kinoshita Japan
Jing Peng China
Annukka Jouppila Finland
Stefanie C. Huelsenbeck Germany
Witold Zgodziński Poland
Xueyan Guo China
Wan-Ling Chen relative to Piotr Chrościcki Poland Piotr Chrościcki's profile →
Citations per field
00.5×3.1×
Piotr Chrościcki · 1×
Citations per year

Countries citing papers authored by Wan-Ling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wan-Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020111
2 201438
3 201633
4 201829
5 201927
6 201725
7 201623
8 202220
9 200919
10 201416
11 201816
12 201913
13 202413
14 201712
15 202410
16 20167
17 20186
18 20205
19 20244
20 20184

About Wan-Ling Chen

Wan-Ling Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Epidemiology and Critical Care and Intensive Care Medicine, having authored 28 papers that have together received 435 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (5 papers), Respiratory Support and Mechanisms (3 papers), Intensive Care Unit Cognitive Disorders (3 papers), Mitochondrial Function and Pathology (3 papers), Biological Activity of Diterpenoids and Biflavonoids (2 papers), Skin Protection and Aging (2 papers), Sepsis Diagnosis and Treatment (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (73 citations), Immunology (79 citations), Oncology (69 citations), Developmental Neuroscience (10 citations) and Neurology (20 citations). Wan-Ling Chen has collaborated with scholars based in China, Taiwan and Germany. Frequent co-authors include Yujie Lei, Chien‐Ming Chao, Chih‐Cheng Lai, Wei‐Ting Lin, Tongxiang Lin, Sheng Tan, Qingxi Zhang, Guey‐Jen Lee‐Chen, Te‐Hsien Lin and Yih‐Ru Wu. Their work appears in journals such as Journal of Clinical Medicine, Biochemical and Biophysical Research Communications, Applied Materials Today, Medicine and Gut Microbes.

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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