Nina R. Sinatra

11 total papers · 466 total citations
9 papers, 367 citations indexed

About

Nina R. Sinatra is a scholar working on Biomedical Engineering, Mechanical Engineering and Polymers and Plastics. According to data from OpenAlex, Nina R. Sinatra has authored 9 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Mechanical Engineering and 3 papers in Polymers and Plastics. Recurrent topics in Nina R. Sinatra's work include Advanced Sensor and Energy Harvesting Materials (4 papers), Advanced Materials and Mechanics (3 papers) and Soft Robotics and Applications (3 papers). Nina R. Sinatra is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (4 papers), Advanced Materials and Mechanics (3 papers) and Soft Robotics and Applications (3 papers). Nina R. Sinatra collaborates with scholars based in United States, Japan and Germany. Nina R. Sinatra's co-authors include Kevin Kit Parker, Robert J. Wood, Daniel M. Vogt, David F. Gruber, Clark B. Teeple, Tommaso Ranzani, Joost J. Vlassak, Grant M. Gonzalez, Alexander P. Nesmith and Christophe O. Chantre and has published in prestigious journals such as Current Biology, Nanoscale and Lab on a Chip.

In The Last Decade

Nina R. Sinatra

9 papers receiving 361 citations

Hit Papers

Ultragentle manipulation ... 2019 2026 2021 2023 2019 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
Nina R. Sinatra 302 160 71 59 36 9 367
Yahya Elsayed 334 1.1× 107 0.7× 123 1.7× 80 1.4× 10 0.3× 11 411
Lei Li 287 1.0× 113 0.7× 45 0.6× 41 0.7× 43 1.2× 10 417
Sami Fakhouri 239 0.8× 103 0.6× 86 1.2× 21 0.4× 13 0.4× 8 344
Gundula Runge 320 1.1× 149 0.9× 123 1.7× 86 1.5× 20 0.6× 14 366
Osman Doğan Yirmibeşoğlu 353 1.2× 158 1.0× 38 0.5× 66 1.1× 4 0.1× 9 425
Hosain Bagheri 304 1.0× 211 1.3× 10 0.1× 84 1.4× 9 0.3× 8 382
Thomas Stockinger 291 1.0× 190 1.2× 10 0.1× 100 1.7× 10 0.3× 10 355
Thassyo Pinto 319 1.1× 101 0.6× 61 0.9× 47 0.8× 13 0.4× 10 353
Liuchi Li 142 0.5× 183 1.1× 17 0.2× 24 0.4× 7 0.2× 11 401
Nathaniel N. Goldberg 297 1.0× 158 1.0× 32 0.5× 123 2.1× 46 1.3× 9 366

Countries citing papers authored by Nina R. Sinatra

Since Specialization
Citations

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

Fields of papers citing papers by Nina R. Sinatra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina R. Sinatra

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