Meiling Wu

49 papers receiving 2.8k citations

Meiling Wu's Hit Papers

THE QUANTITATIVE HISTOCHEMISTRY OF BRAIN 1954 · 774 citations
7740+24+48Years since publication250500750

Peers

Meiling Wu
Comparison fields: 5 of 139
  • Sensory Systems 169
  • Neurology 205
  • Molecular Biology 1.3k
  • Biochemistry 141
  • Clinical Biochemistry 108
Replace Ling Zhong with:
Ling Zhong China
Yasu‐Taka Azuma Japan
Jan M. Suski Poland
Masahito Watanabe Japan
Miklós Geiszt Hungary
Thierry Arnould Belgium
Liyan Zhang China
Tommaso Iannitti Italy
Mohamed Benahmed France
Marshall H. Montrose United States
Meiling Wu relative to Ling Zhong China Ling Zhong's profile →
Citations per field
00.5×1.5×2.4×
Ling Zhong · 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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
THE QUANTITATIVE HISTOCHEMISTRY OF BRAIN
Hit paper breakdown →
1954980
2
THE QUANTITATIVE HISTOCHEMISTRY OF BRAIN
Hit paper breakdown →
1954774
3 1954296
4 1954180
5 201766
6 202066
7 202164
8 201562
9 201950
10 201647
11 200838
12 201237
13 202434
14 200934
15 200931
16 202029
17 202129
18 201726
19 202023
20 201322

About Meiling Wu

Meiling Wu is a scholar working on Molecular Biology, Physiology, Immunology, Cardiology and Cardiovascular Medicine and Neurology, having authored 53 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Fungal and yeast genetics research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Endometriosis Research and Treatment (2 papers), Acupuncture Treatment Research Studies (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Salivary Gland Disorders and Functions (2 papers). The work is most often cited by research in Sensory Systems (169 citations), Neurology (205 citations), Molecular Biology (1.3k citations), Biochemistry (141 citations) and Clinical Biochemistry (108 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, Junrong Du and Xue Li. Their work appears in journals such as Journal of Biological Chemistry, Free Radical Research, Free Radical Biology and Medicine, The Journal of Maternal-Fetal & Neonatal Medicine 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