Meijing Wu

2.9k citations
44 papers · 2.0k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Meijing Wu

41 papers receiving 2.0k citations

Hit Papers

CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cells 2016 · 479 citations
4792016202620192022100200300400

Peers

Meijing Wu
Comparison fields: 5 of 113
  • Biological Psychiatry 153
  • Genetics 510
  • Immunology 656
  • Oncology 601
  • Neurology 173
Replace Chung Kwon Kim with:
Chung Kwon Kim South Korea
Persio Dello Sbarba Italy
Catalina Lee-Chang United States
Ben W. Dulken United States
Marianela Candolfi Argentina
Courtney A. Crane United States
Meizhang Li United States
Maurizio Gelati Italy
Martha Chekenya Norway
Marta Joana Costa Jordão Germany
Meijing Wu relative to Chung Kwon Kim South Korea Chung Kwon Kim's profile →
Citations per field
00.5×
Chung Kwon Kim · 1×
Citations per year

Countries citing papers authored by Meijing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Meijing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20235
3 20230
4 20220
5 202112
6 20202
7 202042
8 20206
9 201960
10 20197
11 201977
12 201867
13 2018311
14 2017144
15 20179
16 201742
17 2017104
18
CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cells
Hit paper breakdown →
2016479
19 201630
20 201618

About Meijing Wu

Meijing Wu is a scholar working on Biological Psychiatry, Genetics, Neurology, Oncology and Immunology, having authored 44 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), PARP inhibition in cancer therapy (5 papers), Immune cells in cancer (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers), Tryptophan and brain disorders (4 papers) and Vascular Malformations Diagnosis and Treatment (4 papers). The work is most often cited by research in Biological Psychiatry (153 citations), Genetics (510 citations), Immunology (656 citations), Oncology (601 citations) and Neurology (173 citations). Meijing Wu has collaborated with scholars based in United States, China and France. Frequent co-authors include Derek A. Wainwright, Maciej S. Lesniak, Yu Han, Craig Horbinski, Kristen L. Lauing, Erik Ladomersky, Lijie Zhai, Lingjiao Zhang, Atique U. Ahmed and Jason Miska. Their work appears in journals such as Annals of Oncology, Neuro-Oncology, Stroke, Clinical Cancer Research and Journal of Neuro-Oncology.

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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