Mo Wang

1.5k citations
67 papers · 816 · h-index 18

Impact in

  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Aortic aneurysm repair treatments 8
    • Aortic Disease and Treatment Approaches 5
    • Vascular Procedures and Complications 4
    • Vasculitis and related conditions 3
    • Infectious Aortic and Vascular Conditions 3

Mo Wang

59 papers receiving 809 citations

Peers

Mo Wang
Comparison fields: 5 of 100
  • Nephrology 41
  • Neurology 46
  • Cellular and Molecular Neuroscience 87
  • Neurology 71
  • Emergency Medical Services 33
Replace Jianyan Wen with:
Jianyan Wen China
Chanil Moon South Korea
Hyun Jung Min South Korea
Fanqi Kong China
Martina Lukasova Germany
Anthony G. Passerini United States
Carole Fages Finland
Barbara Celona United States
Ying Shi China
Mo Wang relative to Jianyan Wen China Jianyan Wen's profile →
Citations per field
00.5×
Jianyan Wen · 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 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201762
2 201950
3 201343
4 202242
5 202442
6 201338
7 201235
8 201732
9 201732
10 201728
11 201928
12 201626
13 201725
14 202125
15 201523
16 201622
17 202419
18 201918
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 67 papers that have together received 816 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (8 papers), Aortic aneurysm repair treatments (8 papers), Angiogenesis and VEGF in Cancer (5 papers), Aortic Disease and Treatment Approaches (5 papers), Vascular Procedures and Complications (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Infectious Aortic and Vascular Conditions (3 papers) and Vasculitis and related conditions (3 papers). The work is most often cited by research in Nephrology (41 citations), Neurology (46 citations), Cellular and Molecular Neuroscience (87 citations), Neurology (71 citations) and Emergency Medical Services (33 citations). Mo Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Alan Dardik, Li Yu, Hualong Bai, Trenton R. Foster, Takuya Hashimoto, Shiyi Zhang, Jeans M. Santana, Peijian He, Ling Zhang and Jiawei Liu. Their work appears in journals such as Scientific Reports, Vascular, Journal of Vascular Surgery, Cellular Physiology and Biochemistry and Journal of Medicinal Chemistry.

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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