Mo Wang

1.5k citations
69 papers · 859 · h-index 18

Impact in

Papers in

    • Aortic aneurysm repair treatments 7
    • Aortic Disease and Treatment Approaches 6
    • Vascular Procedures and Complications 2
    • Infectious Aortic and Vascular Conditions 4

Mo Wang

61 papers receiving 848 citations

Peers

Mo Wang
Comparison fields: 5 of 100
  • Nephrology 39
  • Neurology 38
  • Emergency Medical Services 30
  • Pharmacology 68
  • Cellular and Molecular Neuroscience 77
Replace Carole Fages with:
Carole Fages Finland
Fanqi Kong China
Takafumi Senokuchi Japan
Yang Xiang China
Martina Lukasova Germany
Guiping Yang United States
Dan Song China
Lixi Li China
Anthony G. Passerini United States
Mandy O. J. Grootaert Belgium
Mo Wang relative to Carole Fages Finland Carole Fages's profile →
Citations per field
00.5×10×
Carole Fages · 1×
Citations per year

Countries citing papers authored by Mo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201762
2 201950
3 202246
4 202446
5 201345
6 201345
7 201237
8 201732
9 201732
10 201929
11 201729
12 202127
13 201626
14 201725
15 201623
16 201523
17 202422
18 201920
19 200616
20 202115

About Mo Wang

Mo Wang is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Nephrology and Cellular and Molecular Neuroscience, having authored 69 papers that have together received 859 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (9 papers), Aortic aneurysm repair treatments (7 papers), Aortic Disease and Treatment Approaches (6 papers), Infectious Aortic and Vascular Conditions (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Angiogenesis and VEGF in Cancer (3 papers), T-cell and B-cell Immunology (3 papers) and Vascular Procedures and Complications (2 papers). The work is most often cited by research in Nephrology (39 citations), Neurology (38 citations), Emergency Medical Services (30 citations), Pharmacology (68 citations) and Cellular and Molecular Neuroscience (77 citations). Mo Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yu Li, Alan Dardik, Hualong Bai, Trenton R. Foster, Takuya Hashimoto, Shiyi Zhang, Ling Zhang, Jiawei Liu, Lei Xu and Hua Zhou. Their work appears in journals such as Vascular, Scientific Reports, Journal of Vascular Surgery, Journal of Medicinal Chemistry and Cellular Physiology and Biochemistry.

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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