Sander Land

1.5k total citations
23 papers, 766 citations indexed

About

Sander Land is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sander Land has authored 23 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 9 papers in Biomedical Engineering and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sander Land's work include Cardiomyopathy and Myosin Studies (10 papers), Cardiovascular Function and Risk Factors (10 papers) and Elasticity and Material Modeling (8 papers). Sander Land is often cited by papers focused on Cardiomyopathy and Myosin Studies (10 papers), Cardiovascular Function and Risk Factors (10 papers) and Elasticity and Material Modeling (8 papers). Sander Land collaborates with scholars based in United Kingdom, Norway and New Zealand. Sander Land's co-authors include Steven Niederer, Marcel F. Jonkman, Nicolai Petkov, Michael Biehl, Ioannis Giotis, Nicolas P. Smith, Nic Smith, Jonathan C. Kentish, Cristobal G. dos Remedios and Pablo Lamata and has published in prestigious journals such as The Journal of Physiology, The FASEB Journal and Biophysical Journal.

In The Last Decade

Sander Land

23 papers receiving 748 citations

Peers

Sander Land
Clifford Yang United States
Jiwoong Jeong United States
Xiuxiu He United States
Ran Zhou China
Sander Land
Citations per year, relative to Sander Land Sander Land (= 1×) peers Mohammad H. Jafari

Countries citing papers authored by Sander Land

Since Specialization
Citations

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

Fields of papers citing papers by Sander Land

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sander Land

This figure shows the co-authorship network connecting the top 25 collaborators of Sander Land. A scholar is included among the top collaborators of Sander Land 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 Sander Land. Sander Land 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.
Land, Sander & Max Bartolo. (2024). Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models. 11631–11646. 1 indexed citations
2.
Lewalle, Alexandre, Sander Land, Jort J. Merken, et al.. (2019). Balance of Active, Passive, and Anatomical Cardiac Properties in Doxorubicin-Induced Heart Failure. Biophysical Journal. 117(12). 2337–2348. 5 indexed citations
3.
Lewalle, Alexandre, Sander Land, Eric Carruth, et al.. (2018). Decreasing Compensatory Ability of Concentric Ventricular Hypertrophy in Aortic-Banded Rat Hearts. Frontiers in Physiology. 9. 37–37. 4 indexed citations
4.
Land, Sander & Steven Niederer. (2017). Influence of atrial contraction dynamics on cardiac function. International Journal for Numerical Methods in Biomedical Engineering. 34(3). 34 indexed citations
5.
Land, Sander, et al.. (2017). A model of cardiac contraction based on novel measurements of tension development in human cardiomyocytes. Journal of Molecular and Cellular Cardiology. 106. 68–83. 102 indexed citations
6.
Lewalle, Alexandre, Sander Land, & Steven Niederer. (2017). Development of a Patient‐Based Computational Modeling Framework for Analyzing the Mechanisms of Doxorubicin Cardiotoxicity. The FASEB Journal. 31(S1). 1 indexed citations
7.
Land, Sander & Steven Niederer. (2015). A Spatially Detailed Model of Isometric Contraction Based on Competitive Binding of Troponin I Explains Cooperative Interactions between Tropomyosin and Crossbridges. PLoS Computational Biology. 11(8). e1004376–e1004376. 29 indexed citations
8.
Nordbø, Øyvind, Pablo Lamata, Sander Land, et al.. (2014). A computational pipeline for quantification of mouse myocardial stiffness parameters. Computers in Biology and Medicine. 53. 65–75. 9 indexed citations
9.
Land, Sander, Steven Niederer, Pablo Lamata, & Nicolas P. Smith. (2014). Improving the Stability of Cardiac Mechanical Simulations. IEEE Transactions on Biomedical Engineering. 62(3). 939–947. 11 indexed citations
10.
Tøndel, Kristin, Steven Niederer, Sander Land, & Nicolas P. Smith. (2014). Insight into model mechanisms through automatic parameter fitting: a new methodological framework for model development. BMC Systems Biology. 8(1). 59–59. 4 indexed citations
11.
Louch, William E., Sander Land, & Steven Niederer. (2014). Strange bedfellows: biologists and mathematical modelers tie the knot on cardiomyocyte calcium homeostasis. Drug Discovery Today Disease Models. 14. 11–16. 2 indexed citations
12.
Tøndel, Kristin, Sander Land, Steven Niederer, & Nicolas P. Smith. (2014). Quantifying inter‐species differences in contractile function through biophysical modelling. The Journal of Physiology. 593(5). 1083–1111. 8 indexed citations
13.
Land, Sander, Steven Niederer, William E. Louch, et al.. (2014). Computational modeling of Takotsubo cardiomyopathy: effect of spatially varying β-adrenergic stimulation in the rat left ventricle. American Journal of Physiology-Heart and Circulatory Physiology. 307(10). H1487–H1496. 23 indexed citations
14.
Land, Sander, William E. Louch, Steven Niederer, et al.. (2013). Beta-Adrenergic Stimulation Maintains Cardiac Function in Serca2 Knockout Mice. Biophysical Journal. 104(6). 1349–1356. 18 indexed citations
15.
Land, Sander, Steven Niederer, William E. Louch, Ole M. Sejersted, & Nicolas P. Smith. (2013). Integrating multi-scale data to create a virtual physiological mouse heart. Interface Focus. 3(2). 20120076–20120076. 10 indexed citations
16.
Lamata, Pablo, Ishani Roy, Andrew Crozier, et al.. (2012). Quality Metrics for High Order Meshes: Analysis of the Mechanical Simulation of the Heart Beat. IEEE Transactions on Medical Imaging. 32(1). 130–138. 14 indexed citations
17.
Land, Sander, Steven Niederer, Jan Magnus Aronsen, et al.. (2012). An analysis of deformation‐dependent electromechanical coupling in the mouse heart. The Journal of Physiology. 590(18). 4553–4569. 61 indexed citations
18.
Lamata, Pablo, Steven Niederer, Sander Land, et al.. (2012). The estimation of patient-specific cardiac diastolic functions from clinical measurements. Medical Image Analysis. 17(2). 133–146. 76 indexed citations
19.
Niederer, Steven, Sander Land, Stig W. Omholt, & Nicolas P. Smith. (2012). Interpreting genetic effects through models of cardiac electromechanics. American Journal of Physiology-Heart and Circulatory Physiology. 303(11). H1294–H1303. 7 indexed citations
20.
Land, Sander, Steven Niederer, & Nic Smith. (2011). Efficient Computational Methods for Strongly Coupled Cardiac Electromechanics. IEEE Transactions on Biomedical Engineering. 59(5). 1219–1228. 39 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026