Philip M. Graybill

19 total papers · 574 total citations
10 papers, 421 citations indexed

About

Philip M. Graybill is a scholar working on Biotechnology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Philip M. Graybill has authored 10 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biotechnology, 7 papers in Biomedical Engineering and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Philip M. Graybill's work include Microbial Inactivation Methods (7 papers), Microfluidic and Bio-sensing Technologies (6 papers) and Neuroscience and Neural Engineering (3 papers). Philip M. Graybill is often cited by papers focused on Microbial Inactivation Methods (7 papers), Microfluidic and Bio-sensing Technologies (6 papers) and Neuroscience and Neural Engineering (3 papers). Philip M. Graybill collaborates with scholars based in United States and Netherlands. Philip M. Graybill's co-authors include Rafael V. Davalos, Sanne Nieuwenhuizen, Martijn R. Meijerink, Damijan Miklavčič, Hester J. Scheffer, Robbert S. Puijk, Tanja D. de Gruijl, Bart Geboers, Alette H. Ruarus and M. Petrousjka van den Tol and has published in prestigious journals such as ACS Nano, PLoS ONE and Radiology.

In The Last Decade

Philip M. Graybill

10 papers receiving 416 citations

Hit Papers

High-Voltage Electrical P... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Philip M. Graybill 271 221 70 50 48 10 421
Brian Athos 365 1.3× 233 1.1× 76 1.1× 29 0.6× 82 1.7× 7 413
Mark Kreis 365 1.3× 233 1.1× 76 1.1× 29 0.6× 82 1.7× 7 413
Eduardo L. Latouche 344 1.3× 260 1.2× 42 0.6× 31 0.6× 58 1.2× 13 400
Kilian J. Müller 186 0.7× 224 1.0× 86 1.2× 41 0.8× 27 0.6× 11 422
Mindaugas Saulius Venslauskas 295 1.1× 340 1.5× 108 1.5× 28 0.6× 49 1.0× 25 470
David Sawcer 185 0.7× 132 0.6× 130 1.9× 14 0.3× 90 1.9× 6 461
W. Hunter Baldwin 185 0.7× 164 0.7× 107 1.5× 11 0.2× 52 1.1× 21 494
Natalie Beitel-White 330 1.2× 235 1.1× 71 1.0× 11 0.2× 89 1.9× 15 456
Marjorie A. Kuipers 244 0.9× 172 0.8× 187 2.7× 48 1.0× 20 0.4× 11 419
William C. Hamilton 297 1.1× 169 0.8× 36 0.5× 11 0.2× 73 1.5× 12 413

Countries citing papers authored by Philip M. Graybill

Since Specialization
Citations

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

Fields of papers citing papers by Philip M. Graybill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip M. Graybill. 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 Philip M. Graybill. The network helps show where Philip M. Graybill may publish in the future.

Co-authorship network of co-authors of Philip M. Graybill

This figure shows the co-authorship network connecting the top 25 collaborators of Philip M. Graybill. A scholar is included among the top collaborators of Philip M. Graybill based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip M. Graybill. Philip M. Graybill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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