Thomas Falcucci

9 total papers · 429 total citations
9 papers, 330 citations indexed

About

Thomas Falcucci is a scholar working on Biomaterials, Microbiology and Surfaces, Coatings and Films. According to data from OpenAlex, Thomas Falcucci has authored 9 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomaterials, 3 papers in Microbiology and 3 papers in Surfaces, Coatings and Films. Recurrent topics in Thomas Falcucci's work include Silk-based biomaterials and applications (8 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Polymer Surface Interaction Studies (3 papers). Thomas Falcucci is often cited by papers focused on Silk-based biomaterials and applications (8 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Polymer Surface Interaction Studies (3 papers). Thomas Falcucci collaborates with scholars based in United States, South Korea and China. Thomas Falcucci's co-authors include David L. Kaplan, Jugal Kishore Sahoo, Onur Hasturk, Jaewon Choi, Tod A. Grusenmeyer, Jack Ly, Matthew J. Dalton, Ya Yao, Douglas S. Clark and Chiara Romano and has published in prestigious journals such as Biomaterials, Advanced Functional Materials and Nature Reviews Chemistry.

In The Last Decade

Thomas Falcucci

9 papers receiving 327 citations

Hit Papers

Silk chemistry and biomed... 2023 2026 2024 2023 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Thomas Falcucci 231 125 57 30 30 9 330
Dave Jao 226 1.0× 104 0.8× 71 1.2× 28 0.9× 28 0.9× 10 320
Yueying Han 141 0.6× 121 1.0× 59 1.0× 17 0.6× 49 1.6× 12 332
Porntipa Pankongadisak 226 1.0× 108 0.9× 40 0.7× 14 0.5× 26 0.9× 14 337
Jinhui Ran 122 0.5× 158 1.3× 32 0.6× 13 0.4× 33 1.1× 7 308
Dohiko Terada 198 0.9× 181 1.4× 32 0.6× 31 1.0× 73 2.4× 12 332
Ezgi Pinar Yalcintas 82 0.4× 115 0.9× 69 1.2× 27 0.9× 19 0.6× 7 329
Yuejiao Yang 128 0.6× 160 1.3× 26 0.5× 24 0.8× 22 0.7× 23 358
Huaipu Chang 245 1.1× 58 0.5× 82 1.4× 18 0.6× 10 0.3× 11 332
Xusheng Xie 226 1.0× 113 0.9× 38 0.7× 61 2.0× 17 0.6× 13 362
Selma Candelária Genari 142 0.6× 121 1.0× 59 1.0× 27 0.9× 14 0.5× 16 343

Countries citing papers authored by Thomas Falcucci

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Falcucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Falcucci

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Falcucci. A scholar is included among the top collaborators of Thomas Falcucci 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 Thomas Falcucci. Thomas Falcucci 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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