Mengzhen Wang

887 citations
44 papers · 525 · h-index 14

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

    • RNA Interference and Gene Delivery 3
    • Acute Myeloid Leukemia Research 9
    • Multiple Myeloma Research and Treatments 5

Mengzhen Wang

40 papers receiving 520 citations

Peers

Mengzhen Wang
Comparison fields: 5 of 85
  • Hematology 83
  • Immunology 106
  • Behavioral Neuroscience 13
  • Cellular and Molecular Neuroscience 60
  • Neurology 24
Replace Lavinia Bhatt with:
Lavinia Bhatt Ireland
Petra Huehnchen Germany
Sonja Kallendrusch Germany
Wen-Hong Su Taiwan
Melvin E. Young United States
Federica Rey Italy
Marc P. Fadel Canada
Stefania Zampieri Italy
Philippe Donatien United Kingdom
Mengzhen Wang relative to Lavinia Bhatt Ireland Lavinia Bhatt's profile →
Citations per field
00.5×10×20×30×39×
Lavinia Bhatt · 1×
Citations per year

Countries citing papers authored by Mengzhen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mengzhen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202080
2 202445
3 202043
4 202139
5 202337
6 201728
7 201828
8 202023
9 202023
10 202323
11 202217
12 202516
13 202015
14 202113
15 201713
16 20219
17 20188
18 20078
19 20218
20 20196

About Mengzhen Wang

Mengzhen Wang is a scholar working on Molecular Biology, Hematology, Immunology, Oncology and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 525 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Multiple Myeloma Research and Treatments (5 papers), Immune cells in cancer (4 papers), Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (4 papers), RNA Interference and Gene Delivery (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Hematology (83 citations), Immunology (106 citations), Behavioral Neuroscience (13 citations), Cellular and Molecular Neuroscience (60 citations) and Neurology (24 citations). Mengzhen Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Li Yu, Zhiding Wang, Linlin Zhang, Jinghong Chen, Mei Yu, Yongqiang Tang, Ning Cheng, Zegang Ma, Sheng‐Tao Hou and Lifeng Zheng. Their work appears in journals such as Biomaterials, ACS Nano, Clinical Science, Annals of Hematology and BMC Cardiovascular Disorders.

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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