Dan Y. Lewitus

28 total papers · 636 total citations
22 papers, 511 citations indexed

About

Dan Y. Lewitus is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Biomaterials. According to data from OpenAlex, Dan Y. Lewitus has authored 22 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Biomaterials. Recurrent topics in Dan Y. Lewitus's work include Neuroscience and Neural Engineering (5 papers), 3D Printing in Biomedical Research (5 papers) and Conducting polymers and applications (3 papers). Dan Y. Lewitus is often cited by papers focused on Neuroscience and Neural Engineering (5 papers), 3D Printing in Biomedical Research (5 papers) and Conducting polymers and applications (3 papers). Dan Y. Lewitus collaborates with scholars based in Israel, United States and United Kingdom. Dan Y. Lewitus's co-authors include Joachim Kohn, Karen L. Smith, Amos Ophir, Stephen P. McCarthy, S. Kenig, William Shain, John Landers, Alexander V. Neimark, Jonathan R. Branch and Gerardo Callegari and has published in prestigious journals such as Biomaterials, Advanced Functional Materials and ACS Applied Materials & Interfaces.

In The Last Decade

Dan Y. Lewitus

21 papers receiving 500 citations

Author Peers

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

Author Last Decade Papers Cites
Dan Y. Lewitus 173 162 151 129 76 22 511
Irada Isayeva 199 1.2× 89 0.5× 129 0.9× 124 1.0× 77 1.0× 20 558
Guangming Wang 302 1.7× 143 0.9× 69 0.5× 58 0.4× 43 0.6× 11 522
Qingquan Han 286 1.7× 121 0.7× 104 0.7× 41 0.3× 40 0.5× 30 598
Jiajie Sui 464 2.7× 117 0.7× 189 1.3× 48 0.4× 69 0.9× 16 573
Manping Jia 239 1.4× 66 0.4× 139 0.9× 121 0.9× 51 0.7× 23 449
Sayantan Pradhan 250 1.4× 151 0.9× 107 0.7× 40 0.3× 49 0.6× 24 482
Mattia Comotto 397 2.3× 189 1.2× 74 0.5× 53 0.4× 69 0.9× 9 616
Kaili Chen 327 1.9× 79 0.5× 161 1.1× 64 0.5× 30 0.4× 12 457
In Young Kim 192 1.1× 92 0.6× 129 0.9× 163 1.3× 35 0.5× 30 601
Gwan‐Jin Ko 407 2.4× 72 0.4× 181 1.2× 105 0.8× 60 0.8× 23 595

Countries citing papers authored by Dan Y. Lewitus

Since Specialization
Citations

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

Fields of papers citing papers by Dan Y. Lewitus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Y. Lewitus. 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 Dan Y. Lewitus. The network helps show where Dan Y. Lewitus may publish in the future.

Co-authorship network of co-authors of Dan Y. Lewitus

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Y. Lewitus. A scholar is included among the top collaborators of Dan Y. Lewitus 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 Dan Y. Lewitus. Dan Y. Lewitus 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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