Craig Lanning

1.8k total citations · 1 hit paper
31 papers, 1.4k citations indexed

About

Craig Lanning is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Craig Lanning has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 15 papers in Pulmonary and Respiratory Medicine and 12 papers in Surgery. Recurrent topics in Craig Lanning's work include Pulmonary Hypertension Research and Treatments (12 papers), Cardiovascular Function and Risk Factors (10 papers) and Congenital Heart Disease Studies (7 papers). Craig Lanning is often cited by papers focused on Pulmonary Hypertension Research and Treatments (12 papers), Cardiovascular Function and Risk Factors (10 papers) and Congenital Heart Disease Studies (7 papers). Craig Lanning collaborates with scholars based in United States, United Kingdom and Russia. Craig Lanning's co-authors include Robin Shandas, Bryan Rech, Christopher M. Yakacki, Ken Gall, Alex J. Barker, Kendall S. Hunter, D. Dunbar Ivy, Jean Hertzberg, Po-Feng Lee and Lori Claussen and has published in prestigious journals such as Circulation, Applied Physics Letters and Journal of the American College of Cardiology.

In The Last Decade

Craig Lanning

31 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Unconstrained recovery characterization of shape-memory polymer networks for cardiovascular applications

2007 476 citations Christopher M. Yakacki, Robin Shandas et al. Biomaterials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Craig Lanning United States	15	594	517	439	403	293	31	1.4k
Alireza Karimi Iran	28	259 0.4×	426 0.8×	1.1k 2.6×	130 0.3×	831 2.8×	91	2.2k
Michael S. Sacks United States	25	832 1.4×	212 0.4×	915 2.1×	207 0.5×	1.0k 3.5×	57	2.4k
Yvan Douville Canada	20	275 0.5×	598 1.2×	267 0.6×	64 0.2×	666 2.3×	75	1.3k
Leonard Pinchuk United States	19	220 0.4×	146 0.3×	212 0.5×	179 0.4×	285 1.0×	54	1.6k
Xuefeng Zhao China	20	118 0.2×	197 0.4×	452 1.0×	82 0.2×	249 0.8×	57	966
Takafumi Tsuji Japan	13	382 0.6×	433 0.8×	165 0.4×	67 0.2×	869 3.0×	31	1.2k
Eisho Kyo Japan	15	458 0.8×	466 0.9×	162 0.4×	67 0.2×	974 3.3×	37	1.3k
Ambroise Duprey France	19	309 0.5×	788 1.5×	708 1.6×	28 0.1×	421 1.4×	41	1.4k
G.M. Bernacca United Kingdom	17	469 0.8×	147 0.3×	153 0.3×	56 0.1×	299 1.0×	26	764
Dieter Stoeckel Germany	9	97 0.2×	332 0.6×	213 0.5×	64 0.2×	349 1.2×	11	1.1k

Countries citing papers authored by Craig Lanning

Since Specialization

Citations

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

Fields of papers citing papers by Craig Lanning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig Lanning

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

All Works

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20 of 20 papers shown

Shandas, Robin, et al.. (2014). Extubation force depends upon angle of force application and fixation technique: a study of 7 methods. BMC Anesthesiology. 14(1). 74–74. 10 indexed citations

Dodd, Gerald D., Samuel Chang, Craig Lanning, et al.. (2014). The design and fabrication of two portal vein flow phantoms by different methods. Medical Physics. 41(2). 23701–23701. 5 indexed citations

Truong, Uyen, Brian Fonseca, Craig Lanning, et al.. (2013). Wall shear stress measured by phase contrast cardiovascular magnetic resonance in children and adolescents with pulmonary arterial hypertension. Journal of Cardiovascular Magnetic Resonance. 15(1). 81–81. 57 indexed citations

Zhang, Fuxing, Craig Lanning, Alex J. Barker, et al.. (2011). In Vitro and Preliminary In Vivo Validation of Echo Particle Image Velocimetry in Carotid Vascular Imaging. Ultrasound in Medicine & Biology. 37(3). 450–464. 78 indexed citations

Hunter, Kendall S., Joseph Albietz, Po-Feng Lee, et al.. (2010). In vivo measurement of proximal pulmonary artery elastic modulus in the neonatal calf model of pulmonary hypertension: development and ex vivo validation. Journal of Applied Physiology. 108(4). 968–975. 37 indexed citations

Lacour-Gayet, François, Craig Lanning, Șerban Stoica, et al.. (2009). An Artificial Right Ventricle for Failing Fontan: In Vitro and Computational Study. The Annals of Thoracic Surgery. 88(1). 170–176. 54 indexed citations

Barker, Alex J., Craig Lanning, & Robin Shandas. (2009). Quantification of Hemodynamic Wall Shear Stress in Patients with Bicuspid Aortic Valve Using Phase-Contrast MRI. Annals of Biomedical Engineering. 38(3). 788–800. 146 indexed citations

Zhang, Fuxing, Alex J. Barker, Phillip E. Gates, et al.. (2009). In Vivo Validation of Echo Partical Image Velocimetry (Echo PIV) in Human Carotid Arteries Using Phase-Contrast MRI. 991–992. 2 indexed citations

Lammers, Steven R., H. Jerry Qi, Kendall S. Hunter, et al.. (2008). Changes in the structure-function relationship of elastin and its impact on the proximal pulmonary arterial mechanics of hypertensive calves. American Journal of Physiology-Heart and Circulatory Physiology. 295(4). H1451–H1459. 124 indexed citations

10.

Hunter, Kendall S., et al.. (2008). Abstract 4388: In-Vivo Pulmonary Vascular Stiffness Obtained from Color M-Mode Tissue Doppler Imaging and Pressure Measurements Predicts Clinical Outcomes Better than Indexed Pulmonary Vascular Resistance in Pediatric Patients with Pulmonary Arterial Hypertension. Circulation. 118(suppl_18). 4 indexed citations

11.

Hunter, Kendall S., et al.. (2008). Noninvasive Methods for Determining Pulmonary Vascular Function in Children with Pulmonary Arterial Hypertension: Application of a Mechanical Oscillator Model. Congenital Heart Disease. 3(2). 106–116. 6 indexed citations

12.

Zhang, Fuxing, et al.. (2008). Systematic validation of the echo particle image velocimetry technique using a patient specific carotid bifurcation model. 9–12. 2 indexed citations

13.

Hunter, Kendall S., Po-Feng Lee, Craig Lanning, et al.. (2007). Pulmonary vascular input impedance is a combined measure of pulmonary vascular resistance and stiffness and predicts clinical outcomes better than pulmonary vascular resistance alone in pediatric patients with pulmonary hypertension. American Heart Journal. 155(1). 166–174. 125 indexed citations

14.

Yakacki, Christopher M., et al.. (2007). Unconstrained recovery characterization of shape-memory polymer networks for cardiovascular applications. Biomaterials. 28(14). 2255–2263. 476 indexed citations breakdown →

15.

Wang, Rui, François Lacour-Gayet, Craig Lanning, et al.. (2006). Initial Experience With the Development and Numerical and In Vitro Studies of A Novel Low-Pressure Artificial Right Ventricle for Pediatric Fontan Patients. ASAIO Journal. 52(6). 682–692. 15 indexed citations

16.

Lanning, Craig, Bibhuti B. Das, Po-Feng Lee, et al.. (2006). Noninvasive Doppler Tissue Measurement of Pulmonary Artery Compliance in Children with Pulmonary Hypertension. Journal of the American Society of Echocardiography. 19(4). 403–412. 36 indexed citations

17.

Das, Bibhuti B., Janice M. Bright, June A. Boon, et al.. (2004). 1054-147 Use of color M-mode tissue Doppler imaging to calculate dynamic compliance of the pulmonary arteries in pulmonary hypertension: Validation in an animal model. Journal of the American College of Cardiology. 43(5). A320–A320. 1 indexed citations

18.

Kim, Hyoung-Bum, Jean Hertzberg, Craig Lanning, & Robin Shandas. (2004). Noninvasive Measurement of Steady and Pulsating Velocity Profiles and Shear Rates in Arteries Using Echo PIV: In Vitro Validation Studies. Annals of Biomedical Engineering. 32(8). 1067–1076. 60 indexed citations

19.

Lanning, Craig, et al.. (2004). Dynamic three-dimensional reconstruction and modeling of cardiovascular anatomy in children with congenital heart disease using biplane angiography.. PubMed. 40. 200–5. 7 indexed citations

20.

Lanning, Craig & Robin Shandas. (2003). Development and validation of implantable sensors for monitoring function of prosthetic heart valves:in vitro studies. Medical & Biological Engineering & Computing. 41(4). 416–424. 8 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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