Meiling Wu

1.0k citations
42 papers · 741 · h-index 16

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 5
    • Fungal and yeast genetics research 4
    • Retinoids in leukemia and cellular processes 2

Meiling Wu

42 papers receiving 730 citations

Peers

Meiling Wu
Comparison fields: 5 of 116
  • Biological Psychiatry 28
  • Biophysics 43
  • Cancer Research 73
  • Leadership and Management 6
  • Molecular Biology 329
Replace Raquel Taléns‐Visconti with:
Raquel Taléns‐Visconti Spain
Qi Luo China
Hailin Liu China
Gene Chi Wai Man Hong Kong
Yun Dong China
Abhijit Nirwane United States
Maojin Yao China
Sung‐Kee Jo South Korea
Meiling Wu relative to Raquel Taléns‐Visconti Spain Raquel Taléns‐Visconti's profile →
Citations per field
00.5×3.9×
Raquel Taléns‐Visconti · 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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021105
2 201666
3 200362
4 201661
5 202147
6 201535
7 201834
8 202232
9 202232
10 201730
11 202328
12 201722
13 202219
14 202218
15 195217
16 199815
17 201914
18 202013
19 200811
20 200010

About Meiling Wu

Meiling Wu is a scholar working on Molecular Biology, Surgery, Oncology, Immunology and Physiology, having authored 42 papers that have together received 741 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (5 papers), Biofuel production and bioconversion (5 papers), Fungal and yeast genetics research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Virtual Reality Applications and Impacts (2 papers), Galectins and Cancer Biology (2 papers), Cancer Treatment and Pharmacology (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Biological Psychiatry (28 citations), Biophysics (43 citations), Cancer Research (73 citations), Leadership and Management (6 citations) and Molecular Biology (329 citations). Meiling Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yu Shen, Jin Hou, Xiaoming Bao, Chung Shih, Walter Chang, Kyle Chang, Dongyun Shi, Hongxing Li, Yi Wen and Lu Zhang. Their work appears in journals such as Journal of Nutrition, Journal of Clinical Oncology, Clinical Cancer Research, Annals of Palliative Medicine and Frontiers in Cell and Developmental 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.

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