David R. Maestas

33 total papers · 1.4k total citations
17 papers, 902 citations indexed

About

David R. Maestas is a scholar working on Surgery, Biomaterials and Immunology. According to data from OpenAlex, David R. Maestas has authored 17 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 5 papers in Biomaterials and 5 papers in Immunology. Recurrent topics in David R. Maestas's work include Tissue Engineering and Regenerative Medicine (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Immune cells in cancer (4 papers). David R. Maestas is often cited by papers focused on Tissue Engineering and Regenerative Medicine (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Immune cells in cancer (4 papers). David R. Maestas collaborates with scholars based in United States, South Korea and Ireland. David R. Maestas's co-authors include Jennifer H. Elisseeff, Liam Chung, Franck Housseau, Ada Tam, Drew M. Pardoll, Matthew T. Wolf, Jin Han, Kaitlyn Sadtler, Patrick Cahan and Alexis N. Peña and has published in prestigious journals such as Advanced Materials, Journal of Clinical Investigation and Advanced Drug Delivery Reviews.

In The Last Decade

David R. Maestas

16 papers receiving 900 citations

Author Peers

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

Author Last Decade Papers Cites
David R. Maestas 294 263 241 206 172 17 902
Qiaoli Gu 210 0.7× 302 1.1× 342 1.4× 112 0.5× 135 0.8× 22 1.0k
Daniel Abebayehu 219 0.7× 159 0.6× 250 1.0× 144 0.7× 319 1.9× 24 986
Xichao Zhou 155 0.5× 343 1.3× 312 1.3× 170 0.8× 116 0.7× 22 944
Olwyn R. Mahon 225 0.8× 393 1.5× 199 0.8× 157 0.8× 99 0.6× 14 767
Achim Salamon 237 0.8× 229 0.9× 211 0.9× 162 0.8× 69 0.4× 22 914
Pardis Pakshir 242 0.8× 170 0.6× 256 1.1× 101 0.5× 127 0.7× 8 1.0k
Pamela L. Graney 202 0.7× 274 1.0× 198 0.8× 141 0.7× 185 1.1× 21 760
Daniela P. Vasconcelos 216 0.7× 301 1.1× 166 0.7× 182 0.9× 136 0.8× 16 748
Mobai Li 148 0.5× 297 1.1× 414 1.7× 124 0.6× 115 0.7× 13 885
Forough Azam Sayahpour 222 0.8× 256 1.0× 269 1.1× 236 1.1× 55 0.3× 38 825

Countries citing papers authored by David R. Maestas

Since Specialization
Citations

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

Fields of papers citing papers by David R. Maestas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Maestas. 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 David R. Maestas. The network helps show where David R. Maestas may publish in the future.

Co-authorship network of co-authors of David R. Maestas

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Maestas. A scholar is included among the top collaborators of David R. Maestas 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 David R. Maestas. David R. Maestas 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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