Meiling Wu

47 papers receiving 2.7k citations

Meiling Wu's Hit Papers

THE QUANTITATIVE HISTOCHEMISTRY OF BRAIN 1954 · 952 citations
9520+24+48Years since publication250500750

Peers

Meiling Wu
Comparison fields: 5 of 139
  • Sensory Systems 158
  • Neurology 206
  • Molecular Biology 1.3k
  • Biochemistry 133
  • Clinical Biochemistry 102
Replace Yasu‐Taka Azuma with:
Yasu‐Taka Azuma Japan
Tommaso Iannitti Italy
Masahito Watanabe Japan
Elena De Marchi Italy
Won Sun Park South Korea
Tianyi Liu China
Wen Li China
Mohamed Benahmed France
Ting Li China
Meiling Wu relative to Yasu‐Taka Azuma Japan Yasu‐Taka Azuma's profile →
Citations per field
00.5×1.7×
Yasu‐Taka Azuma · 1×
Citations per year

Countries citing papers authored by Meiling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
THE QUANTITATIVE HISTOCHEMISTRY OF BRAIN
Hit paper breakdown →
1954952
2
THE QUANTITATIVE HISTOCHEMISTRY OF BRAIN
Hit paper breakdown →
1954747
3 1954277
4 1954156
5 201765
6 202060
7 202158
8 201558
9 201947
10 201645
11 200838
12 201235
13 200934
14 200931
15 202429
16 202027
17 202127
18 201726
19 202023
20 201319

About Meiling Wu

Meiling Wu is a scholar working on Molecular Biology, Immunology, Physiology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 51 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (3 papers), Mitochondrial Function and Pathology (3 papers), Autophagy in Disease and Therapy (3 papers), Acupuncture Treatment Research Studies (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), CRISPR and Genetic Engineering (2 papers) and Biochemical effects in animals (2 papers). The work is most often cited by research in Sensory Systems (158 citations), Neurology (206 citations), Molecular Biology (1.3k citations), Biochemistry (133 citations) and Clinical Biochemistry (102 citations). Meiling Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Oliver H. Lowry, Nira R. Roberts, A. Farr, Elizabeth J. Crawford, Catherine A. Smith, R. Wayne Albers, Yih‐Lin Chung, Jiangang Shen, Jingyin Dong and Feng Zhu. Their work appears in journals such as Journal of Biological Chemistry, Free Radical Biology and Medicine, Free Radical Research, Journal of Hypertension and Journal of Leukocyte Biology.

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