Max Wang

805 citations
37 papers · 593 indexed · h-index 10

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
    • Adenosine and Purinergic Signaling
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Max Wang

35 papers receiving 585 citations

Peers

Max Wang
Comparison fields: 5 of 93
  • Physiology 88
  • Neurology 139
  • Developmental Neuroscience 65
  • Cellular and Molecular Neuroscience 234
  • Biological Psychiatry 24
Replace Yosuke M. Morizawa with:
Yosuke M. Morizawa Japan
Monica Frinchi Italy
Nora Prochnow Germany
Tetsuya Sasaki Japan
Fen Huang China
Tianfu Li United States
Roza Lagoudaki Greece
Chi Wang Ip Germany
Sabine Herold Germany
Max Wang relative to Yosuke M. Morizawa Japan Yosuke M. Morizawa's profile →
Citations per field
00.5×2.7×
Yosuke M. Morizawa · 1×
Citations per year

Countries citing papers authored by Max Wang

Since Specialization
Citations

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

Fields of papers citing papers by Max Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015206
2 201490
3 201287
4 201523
5 200721
6 200620
7 202017
8 201915
9 201715
10 200613
11 20239
12 20198
13 20238
14 20217
15 20206
16 20076
17 20176
18 20225
19 20194
20 20224

About Max Wang

Max Wang is a scholar working on Physiology, Immunology, Radiology, Nuclear Medicine and Imaging, Neurology and Biotechnology, having authored 37 papers that have together received 593 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cancer Research and Treatments (3 papers), Oil and Gas Production Techniques (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Drilling and Well Engineering (3 papers), Hydraulic Fracturing and Reservoir Analysis (3 papers) and Biosimilars and Bioanalytical Methods (3 papers). The work is most often cited by research in Physiology (88 citations), Neurology (139 citations), Developmental Neuroscience (65 citations), Cellular and Molecular Neuroscience (234 citations) and Biological Psychiatry (24 citations). Max Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Seo Yeon Yoon, Yadong Huang, Leslie M. Tong, Donald L. Whitfill, Dale E. Jamison, Kaitlyn Ho, Bruce R. Conklin, Daniel H. Kim, Lennart Mucke and Anna G. Orr. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Circulation, Journal of Neuroscience and Journal of the American Chemical Society.

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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