Max Wasserman

446 citations
3 papers · 331 · h-index 3

Impact in

    • 3D Printing in Biomedical Research
    • Microfluidic and Bio-sensing Technologies
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Microfluidic and Capillary Electrophoresis Applications
    • Molecular Communication and Nanonetworks
    • Cellular Mechanics and Interactions

Papers in

Max Wasserman

3 papers receiving 323 citations

Peers

Max Wasserman
Comparison fields: 5 of 87
  • Biomedical Engineering 238
  • Cell Biology 53
  • Condensed Matter Physics 39
  • Visual Arts and Performing Arts 12
  • Molecular Medicine 11
Replace Yasha Sharma with:
Yasha Sharma United States
Shreyansh Jain France
Amal Abbas United States
Dhananjay Bhaskar United States
Florian Milde Switzerland
Muhymin Islam United States
Salma Sohrabi-Jahromi Germany
Efraim Feinstein United States
Andreja Jović United States
Damien Robert France
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Citations per field
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Citations per year

Countries citing papers authored by Max Wasserman

Since Specialization
Citations

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

Fields of papers citing papers by Max Wasserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Max Wasserman, 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 Wasserman Line = papers co-authored together Max Wasserman links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About Max Wasserman

Max Wasserman is a scholar working on Visual Arts and Performing Arts, Sociology and Political Science, Ecological Modeling, Cell Biology and Economics and Econometrics, having authored 3 papers that have together received 331 indexed citations. Recurring topics across this work include Art History and Market Analysis (2 papers), scientometrics and bibliometrics research (1 paper), 3D Printing in Biomedical Research (1 paper), Media Influence and Politics (1 paper), Species Distribution and Climate Change (1 paper), Cellular Mechanics and Interactions (1 paper), Complex Systems and Time Series Analysis (1 paper) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). The work is most often cited by research in Biomedical Engineering (238 citations), Cell Biology (53 citations), Condensed Matter Physics (39 citations), Visual Arts and Performing Arts (12 citations) and Molecular Medicine (11 citations). Max Wasserman has collaborated with scholars based in United States and Australia. Frequent co-authors include Michael L. Shuler, Mingming Wu, Steven Heilman, Shivaun D. Archer, Xiao Han T. Zeng, Luı́s A. Nunes Amaral, Satyam Mukherjee and Filippo Radicchi. Their work appears in journals such as Lab on a Chip, Proceedings of the National Academy of Sciences and Journal of the Association for Information Science and Technology.

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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