Benjamin J. Landis

2.3k total citations · 1 hit paper
46 papers, 1.7k citations indexed

About

Benjamin J. Landis is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Benjamin J. Landis has authored 46 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 16 papers in Pulmonary and Respiratory Medicine and 15 papers in Molecular Biology. Recurrent topics in Benjamin J. Landis's work include Congenital Heart Disease Studies (17 papers), Aortic Disease and Treatment Approaches (15 papers) and Congenital heart defects research (12 papers). Benjamin J. Landis is often cited by papers focused on Congenital Heart Disease Studies (17 papers), Aortic Disease and Treatment Approaches (15 papers) and Congenital heart defects research (12 papers). Benjamin J. Landis collaborates with scholars based in United States, Canada and Poland. Benjamin J. Landis's co-authors include Zachary Adams, Shawn P. Davis, Mark G. Allen, Mark R. Prausnitz, Michael I. Miga, Lara Longobardi, Douglas P. Mortlock, Stephanie M. Ware, E. Jansen and Lynda O’Rear and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PEDIATRICS.

In The Last Decade

Benjamin J. Landis

41 papers receiving 1.6k citations

Hit Papers

Insertion of microneedles into skin: measurement and pred... 2004 2026 2011 2018 2004 200 400 600

Peers

Benjamin J. Landis
P.M. Vogt Germany
Hee‐Kit Wong Singapore
Ronald L. Moy United States
Robert A. Underwood United States
Roy S. Chuck United States
Joseph Hardwicke United Kingdom
Jung U Shin South Korea
Benjamin J. Landis
Citations per year, relative to Benjamin J. Landis Benjamin J. Landis (= 1×) peers Yu‐Xiong Su

Countries citing papers authored by Benjamin J. Landis

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin J. Landis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin J. Landis. 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 Benjamin J. Landis. The network helps show where Benjamin J. Landis may publish in the future.

Co-authorship network of co-authors of Benjamin J. Landis

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

All Works

20 of 20 papers shown
1.
Helm, Benjamin M., Leah Wetherill, Benjamin J. Landis, & Stephanie M. Ware. (2025). Dysmorphology-Based Prediction Model for Genetic Disorders in Infants With Congenital Heart Disease. Circulation Genomic and Precision Medicine. 18(2). e004895–e004895. 1 indexed citations
2.
Landis, Benjamin J., Benjamin M. Helm, Jeremy L. Herrmann, et al.. (2024). Early ascertainment of genetic diagnoses clarifies impact on medium-term survival following neonatal congenital heart surgery. Journal of Clinical Investigation. 134(18). 1 indexed citations
3.
Geddes, Gabrielle C., et al.. (2023). Genetic Testing Guidelines Impact Care in Newborns with Congenital Heart Defects. The Journal of Pediatrics. 260. 113495–113495. 8 indexed citations
4.
Gu, Dongsheng, Arvin H. Soepriatna, Wenjun Zhang, et al.. (2023). Activation of the Hedgehog signaling pathway leads to fibrosis in aortic valves. Cell & Bioscience. 13(1). 43–43. 3 indexed citations
5.
Li, Ming, William L. Border, Sara Fitzgerald‐Butt, et al.. (2023). A multicenter cross-sectional study in infants with congenital heart defects demonstrates high diagnostic yield of genetic testing but variable evaluation practices. SHILAP Revista de lepidopterología. 1(1). 100814–100814. 9 indexed citations
6.
Helm, Benjamin M., et al.. (2023). Disruption of FBN1 by an Alu element insertion: A novel genetic cause of Marfan syndrome. European Journal of Medical Genetics. 66(7). 104775–104775.
7.
Ofner, Susan, et al.. (2023). Serial Magnetic Resonance Imaging for Aortic Dilation in Tetralogy of Fallot With Pulmonary Stenosis. The American Journal of Cardiology. 191. 92–100.
8.
Landis, Benjamin J., Benjamin M. Helm, Jeremy L. Herrmann, et al.. (2022). Learning to Crawl: Determining the Role of Genetic Abnormalities on Postoperative Outcomes in Congenital Heart Disease. Journal of the American Heart Association. 11(19). e026369–e026369. 12 indexed citations
9.
Bhatt, Ami B., M. Regina Lantin‐Hermoso, Curt J. Daniels, et al.. (2022). Isolated Coarctation of the Aorta: Current Concepts and Perspectives. Frontiers in Cardiovascular Medicine. 9. 817866–817866. 9 indexed citations
10.
Landis, Benjamin J., Dongbing Lai, Dongchuan Guo, et al.. (2021). Identification of a common polymorphism in COQ8B acting as a modifier of thoracic aortic aneurysm severity. SHILAP Revista de lepidopterología. 3(1). 100057–100057. 5 indexed citations
11.
Fleming, Emily, et al.. (2020). Adolescents with congenital heart defects: a patient and parental perspective of genetic information and genetic risk. Cardiology in the Young. 30(2). 219–226. 6 indexed citations
12.
Shikany, Amy, Benjamin J. Landis, Erin M. Miller, et al.. (2020). A Comprehensive Clinical Genetics Approach to Critical Congenital Heart Disease in Infancy. The Journal of Pediatrics. 227. 231–238.e14. 26 indexed citations
13.
Yang, Ziyi, et al.. (2020). Characterization of the Rate of Aortic Dilation in Young Patients with Thoracic Aortic Aneurysm. Pediatric Cardiology. 42(1). 148–157. 3 indexed citations
14.
Colbrunn, Robb, et al.. (2018). Instrumentation of off-the-shelf ultrasound system for measurement of probe forces during freehand imaging. Journal of Biomechanics. 83. 117–124. 20 indexed citations
15.
Owings, Tammy M., Robb Colbrunn, Benjamin J. Landis, et al.. (2018). Reference data on thickness and mechanics of tissue layers and anthropometry of musculoskeletal extremities. Scientific Data. 5(1). 180193–180193. 7 indexed citations
16.
Landis, Benjamin J., Jeffrey Schubert, Dongbing Lai, et al.. (2017). Exome Sequencing Identifies Candidate Genetic Modifiers of Syndromic and Familial Thoracic Aortic Aneurysm Severity. Journal of Cardiovascular Translational Research. 10(4). 423–432. 21 indexed citations
17.
Landis, Benjamin J., et al.. (2016). Bicuspid Aortic Valve: a Review with Recommendations for Genetic Counseling. PMC. 1 indexed citations
18.
Landis, Benjamin J. & Stephanie M. Ware. (2016). The Current Landscape of Genetic Testing in Cardiovascular Malformations: Opportunities and Challenges. Frontiers in Cardiovascular Medicine. 3. 22–22. 15 indexed citations
19.
Landis, Benjamin J., Stephanie M. Ware, Jeanne James, et al.. (2015). Clinical Stratification of Pediatric Patients with Idiopathic Thoracic Aortic Aneurysm. The Journal of Pediatrics. 167(1). 131–137.e5. 9 indexed citations
20.
Davis, Shawn P., Benjamin J. Landis, Zachary Adams, Mark G. Allen, & Mark R. Prausnitz. (2004). Insertion of microneedles into skin: measurement and prediction of insertion force and needle fracture force. Journal of Biomechanics. 37(8). 1155–1163. 727 indexed citations breakdown →

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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