Michael Murphy

32 papers receiving 2.9k citations

Hit Papers

Protocol and Reagents for Pseudotyping Lentiviral Particles with SARS-CoV-2 Spike Protein for Neutralization Assays 2020 · 435 citations
4352008202620142020100200300400

Peers

Michael Murphy
Comparison fields: 5 of 142
  • Surfaces, Coatings and Films 712
  • Mechanics of Materials 1.4k
  • Biomedical Engineering 1.1k
  • Sensory Systems 117
  • Infectious Diseases 417
Replace Emilios K. Dimitriadis with:
Emilios K. Dimitriadis United States
Hongsoo Choi South Korea
K. Jimmy Hsia United States
Cesare Stefanini Italy
Thomas G. Bifano United States
Shinichi Sakamoto Japan
C.W.J. Oomens Netherlands
Luc Mongeau Canada
Sung‐Hwan Choi South Korea
Werayut Srituravanich Thailand
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Citations per field
00.5×7.3×
Emilios K. Dimitriadis · 1×
Citations per year

Countries citing papers authored by Michael Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Michael Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Protocol and Reagents for Pseudotyping Lentiviral Particles with SARS-CoV-2 Spike Protein for Neutralization Assays
Hit paper breakdown →
2020435
2
Gecko‐Inspired Directional and Controllable Adhesion
Hit paper breakdown →
2008397
3 2009317
4 2007262
5 2007222
6 2010209
7 2005178
8 2007174
9 2008121
10 2010114
11
Screening for handicapping hearing loss in the elderly.
2003110
12 199983
13 200662
14 202044
15 199936
16 200033
17 201027
18 201223
19 200523
20 201319

About Michael Murphy

Michael Murphy is a scholar working on Sensory Systems, Software, Mechanics of Materials, Surfaces, Coatings and Films and Bioengineering, having authored 34 papers that have together received 3.0k indexed citations. Recurring topics across this work include Adhesion, Friction, and Surface Interactions (11 papers), Force Microscopy Techniques and Applications (6 papers), Robotic Locomotion and Control (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Soft Robotics and Applications (4 papers), Surface Modification and Superhydrophobicity (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (712 citations), Mechanics of Materials (1.4k citations), Biomedical Engineering (1.1k citations), Sensory Systems (117 citations) and Infectious Diseases (417 citations). Michael Murphy has collaborated with scholars based in United States, Ireland and New Zealand. Frequent co-authors include Metin Sitti, Burak Aksak, Seok Kim, Carlo Menon, Yiğit Mengüç, George A. Gates, Neil P. King, Deleah Pettie, David Veesler and Katharine H. D. Crawford. Their work appears in journals such as The International Journal of Robotics Research, Biochemical Society Transactions, Chemistry of Materials, Cell Reports and Nature Structural & Molecular Biology.

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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