Todd L. Landsman

448 total citations
7 papers, 366 citations indexed

About

Todd L. Landsman is a scholar working on Surgery, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Todd L. Landsman has authored 7 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Neurology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Todd L. Landsman's work include Intracranial Aneurysms: Treatment and Complications (3 papers), Moyamoya disease diagnosis and treatment (2 papers) and Polymer composites and self-healing (2 papers). Todd L. Landsman is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (3 papers), Moyamoya disease diagnosis and treatment (2 papers) and Polymer composites and self-healing (2 papers). Todd L. Landsman collaborates with scholars based in United States and Colombia. Todd L. Landsman's co-authors include Duncan J. Maitland, Sayyeda M. Hasan, Tyler Touchet, Elizabeth Cosgriff‐Hernandez, Brooke Russell, Landon D. Nash, Fred J. Clubb, Thomas S. Wilson, John Horn and Keith Hearon and has published in prestigious journals such as Journal of the American College of Cardiology, Acta Biomaterialia and Journal of Biomedical Materials Research Part A.

In The Last Decade

Todd L. Landsman

7 papers receiving 361 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Todd L. Landsman United States 6 141 113 102 101 92 7 366
Sayyeda M. Hasan United States 12 272 1.9× 119 1.1× 139 1.4× 101 1.0× 98 1.1× 20 506
Tyler Touchet United States 6 62 0.4× 107 0.9× 121 1.2× 102 1.0× 94 1.0× 13 304
Shaohua He China 7 34 0.2× 143 1.3× 208 2.0× 190 1.9× 177 1.9× 16 512
Luhan Bao China 13 13 0.1× 45 0.4× 339 3.3× 148 1.5× 58 0.6× 23 482
Yunxiang Weng China 10 33 0.2× 187 1.7× 179 1.8× 151 1.5× 155 1.7× 25 463
Sophie S. Liu United States 6 29 0.2× 97 0.9× 133 1.3× 245 2.4× 92 1.0× 9 515
Rany Busold United States 7 20 0.1× 79 0.7× 108 1.1× 181 1.8× 12 0.1× 7 382
Xueliang Cheng China 9 15 0.1× 38 0.3× 160 1.6× 123 1.2× 113 1.2× 21 430
Bijan Dehghani United States 6 17 0.1× 84 0.7× 130 1.3× 200 2.0× 67 0.7× 13 380
Weiwen Liang China 8 12 0.1× 26 0.2× 72 0.7× 158 1.6× 38 0.4× 16 308

Countries citing papers authored by Todd L. Landsman

Since Specialization
Citations

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

Fields of papers citing papers by Todd L. Landsman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd L. Landsman. 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 Todd L. Landsman. The network helps show where Todd L. Landsman may publish in the future.

Co-authorship network of co-authors of Todd L. Landsman

This figure shows the co-authorship network connecting the top 25 collaborators of Todd L. Landsman. A scholar is included among the top collaborators of Todd L. Landsman 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 Todd L. Landsman. Todd L. Landsman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Landsman, Todd L., et al.. (2019). Microscopic Assessment of Healing and Effectiveness of a Foam-Based Peripheral Occlusion Device. ACS Biomaterials Science & Engineering. 6(5). 2588–2599. 32 indexed citations
2.
Ferrone, Marco, Geng‐Hua Yi, Yanping Cheng, et al.. (2018). TCT-286 Novel Approach for Treatment of Aortic Stent Graft Endoleak: a Preclinical Feasibility Study of Catheter-Delivered Expandable Foam. Journal of the American College of Cardiology. 72(13). B117–B118. 2 indexed citations
3.
Landsman, Todd L., Tyler Touchet, Sayyeda M. Hasan, et al.. (2016). A shape memory foam composite with enhanced fluid uptake and bactericidal properties as a hemostatic agent. Acta Biomaterialia. 47. 91–99. 151 indexed citations
4.
Landsman, Todd L., Ruth L. Bush, John Horn, et al.. (2016). Design and verification of a shape memory polymer peripheral occlusion device. Journal of the mechanical behavior of biomedical materials. 63. 195–206. 45 indexed citations
5.
Landsman, Todd L., Landon D. Nash, Matthew W. Miller, et al.. (2015). In vitro and in vivo evaluation of a shape memory polymer foam‐over‐wire embolization device delivered in saccular aneurysm models. Journal of Biomedical Materials Research Part B Applied Biomaterials. 104(7). 1407–1415. 48 indexed citations
6.
Hearon, Keith, Landon D. Nash, Todd L. Landsman, et al.. (2015). A Processable Shape Memory Polymer System for Biomedical Applications. Advanced Healthcare Materials. 4(9). 1386–1398. 66 indexed citations
7.
Rodriguez, Jennifer N., John Horn, Todd L. Landsman, et al.. (2014). Design and biocompatibility of endovascular aneurysm filling devices. Journal of Biomedical Materials Research Part A. 103(4). 1577–1594. 22 indexed citations

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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