Meiting Wu

1.0k citations
20 papers · 771 · h-index 13

Impact in

  • Nephrology top 5%
    • Parathyroid Disorders and Treatments
    • RNA and protein synthesis mechanisms
    • Biochemical and Molecular Research
    • RNA regulation and disease

Papers in

    • Biochemical and Molecular Research 3
    • Cancer therapeutics and mechanisms 2
    • Plant Gene Expression Analysis 2
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2

Meiting Wu

19 papers receiving 765 citations

Peers

Meiting Wu
Comparison fields: 5 of 102
  • Nephrology 126
  • Molecular Biology 354
  • Infectious Diseases 88
  • Epidemiology 159
  • Cardiology and Cardiovascular Medicine 90
Replace Jun Qian with:
Jun Qian China
Ruoxi Yuan United States
Sarah L. Snelgrove Australia
Stephen B. Kovacs United States
Rashid Mir Saudi Arabia
Mirae Lee South Korea
Y. S. Shin Germany
Shufeng Wang China
Meiting Wu relative to Jun Qian China Jun Qian's profile →
Citations per field
00.5×6.8×
Jun Qian · 1×
Citations per year

Countries citing papers authored by Meiting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Meiting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2013317
2 200369
3 200557
4 200851
5 200942
6 200636
7 202332
8 201129
9 201026
10 202322
11 202116
12 201216
13 201313
14 202412
15 202311
16 20198
17 20128
18 20253
19 20223
20 20240

About Meiting Wu

Meiting Wu is a scholar working on Molecular Biology, Immunology, Cardiology and Cardiovascular Medicine, Epidemiology and Infectious Diseases, having authored 20 papers that have together received 771 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (3 papers), Trypanosoma species research and implications (3 papers), Postharvest Quality and Shelf Life Management (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Cancer therapeutics and mechanisms (2 papers), Tuberculosis Research and Epidemiology (2 papers), Plant Gene Expression Analysis (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Nephrology (126 citations), Molecular Biology (354 citations), Infectious Diseases (88 citations), Epidemiology (159 citations) and Cardiology and Cardiovascular Medicine (90 citations). Meiting Wu has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Cecilia M. Giachelli, Wim G. J. Hol, Goragot Wisedchaisri, David R. Sherman, Junpeng Deng, Young‐Jun Park, Adrian E. Rice, Els Pardon, Jan Steyaert and D.R. Davies. Their work appears in journals such as European Journal of Pharmacology, Journal of Molecular Biology, Postharvest Biology and Technology, Nucleic Acids Research and Scientific Reports.

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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