Laura C. Bell

2.7k total citations · 1 hit paper
41 papers, 1.9k citations indexed

About

Laura C. Bell is a scholar working on Radiology, Nuclear Medicine and Imaging, Developmental and Educational Psychology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Laura C. Bell has authored 41 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Developmental and Educational Psychology and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Laura C. Bell's work include Advanced MRI Techniques and Applications (20 papers), MRI in cancer diagnosis (15 papers) and Reading and Literacy Development (9 papers). Laura C. Bell is often cited by papers focused on Advanced MRI Techniques and Applications (20 papers), MRI in cancer diagnosis (15 papers) and Reading and Literacy Development (9 papers). Laura C. Bell collaborates with scholars based in United States, United Kingdom and Spain. Laura C. Bell's co-authors include Charles A. Perfetti, Carol Hughes, Isabel L. Beck, Suzanne M. Delaney, C. Chad Quarles, Ashley M. Stokes, Scott K. Nagle, Jerrold L. Boxerman, Kevin M. Johnson and Sean B. Fain and has published in prestigious journals such as NeuroImage, Radiology and Journal of Educational Psychology.

In The Last Decade

Laura C. Bell

38 papers receiving 1.7k 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.

Phonemic knowledge and learning to read are reciprocal: A longitudinal study of first grade children.

1987 595 citations Laura C. Bell et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura C. Bell United States	18	1.4k	640	380	341	307	41	1.9k
Elena Rusconi Italy	24	450 0.3×	1.4k 2.1×	261 0.7×	765 2.2×	456 1.5×	61	2.2k
Pascale Colé France	30	2.3k 1.7×	1.4k 2.2×	838 2.2×	751 2.2×	381 1.2×	87	3.3k
F. B. Wood United States	14	853 0.6×	811 1.3×	141 0.4×	364 1.1×	166 0.5×	37	1.4k
Åke Olofsson Sweden	17	829 0.6×	350 0.5×	379 1.0×	283 0.8×	102 0.3×	41	1.3k
Kimberly P. Raghubar United States	14	546 0.4×	210 0.3×	437 1.1×	669 2.0×	219 0.7×	35	1.2k
Yonglin Pu United States	21	181 0.1×	423 0.7×	35 0.1×	34 0.1×	79 0.3×	71	1.8k
Fengji Geng China	17	197 0.1×	470 0.7×	80 0.2×	147 0.4×	148 0.5×	41	921
Jolijn Vanderauwera Belgium	19	488 0.4×	484 0.8×	77 0.2×	210 0.6×	46 0.1×	36	883
Davide Crepaldi Italy	21	1.0k 0.8×	1.2k 1.9×	82 0.2×	179 0.5×	410 1.3×	68	1.7k
Tami Katzir Israel	22	1.1k 0.8×	471 0.7×	528 1.4×	370 1.1×	143 0.5×	72	1.5k

Countries citing papers authored by Laura C. Bell

Since Specialization

Citations

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

Fields of papers citing papers by Laura C. Bell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura C. Bell. 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 Laura C. Bell. The network helps show where Laura C. Bell may publish in the future.

Co-authorship network of co-authors of Laura C. Bell

This figure shows the co-authorship network connecting the top 25 collaborators of Laura C. Bell. A scholar is included among the top collaborators of Laura C. Bell 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 Laura C. Bell. Laura C. Bell 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

Bell, Laura C., Jeffrey N. Bone, Bastiaan Driehuys, et al.. (2025). A Systematic Review of the Variability of Ventilation Defect Percent Generated From Hyperpolarized Noble Gas Pulmonary Magnetic Resonance Imaging. Journal of Magnetic Resonance Imaging. 62(3). 625–639.

Bell, Laura C., David F. Choy, Petr Novotný, et al.. (2024). Post Hoc Analysis of Quantitative HRCT Imaging Parameters in Astegolimab (anti-ST2) Treated COPD Patients Associates Airway Wall Thickness With Clinical Outcomes. A1204–A1204.

Virgincar, Rohan S., Aaron K. Wong, Kai Barck, et al.. (2024). Diffusion tensor MRI is sensitive to fibrotic injury in a mouse model of oxalate-induced chronic kidney disease. American Journal of Physiology-Renal Physiology. 327(2). F235–F244. 1 indexed citations

Stokes, Ashley M., John P. Karis, Laura C. Bell, et al.. (2024). Identification of a Single-Dose, Low-Flip-Angle–Based CBV Threshold for Fractional Tumor Burden Mapping in Recurrent Glioblastoma. American Journal of Neuroradiology. 45(10). 1545–1551.

Houdt, Petra J. van, Michael Berks, Lucy Kershaw, et al.. (2023). Contrast‐agent‐based perfusion MRI code repository and testing framework: ISMRM Open Science Initiative for Perfusion Imaging (OSIPI). Magnetic Resonance in Medicine. 91(5). 1774–1786. 5 indexed citations

Dickie, Ben, Laura C. Bell, David L. Buckley, et al.. (2023). A community‐endorsed open‐source lexicon for contrast agent–based perfusion MRI: A consensus guidelines report from the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI). Magnetic Resonance in Medicine. 91(5). 1761–1773. 6 indexed citations

Law, L. Matthew, Seth Truran, Laura C. Bell, et al.. (2022). Chronic Cognitive and Cerebrovascular Function after Mild Traumatic Brain Injury in Rats. Journal of Neurotrauma. 39(19-20). 1429–1441. 10 indexed citations

Bell, Laura C., Nadine Bakkar, Rachael W. Sirianni, et al.. (2021). Longitudinal evaluation of myofiber microstructural changes in a preclinical ALS model using the transverse relaxivity at tracer equilibrium (TRATE): A preliminary study. Magnetic Resonance Imaging. 85. 217–221. 1 indexed citations

Lee, Matthew, Grayson L. Baird, Laura C. Bell, C. Chad Quarles, & Jerrold L. Boxerman. (2019). Utility of Percentage Signal Recovery and Baseline Signal in DSC-MRI Optimized for Relative CBV Measurement for Differentiating Glioblastoma, Lymphoma, Metastasis, and Meningioma. American Journal of Neuroradiology. 40(9). 1445–1450. 37 indexed citations

10.

Bell, Laura C., Ashley M. Stokes, & C. Chad Quarles. (2019). Analysis of postprocessing steps for residue function dependent dynamic susceptibility contrast (DSC)‐MRI biomarkers and their clinical impact on glioma grading for both 1.5 and 3T. Journal of Magnetic Resonance Imaging. 51(2). 547–553. 5 indexed citations

11.

Bell, Laura C., et al.. (2018). Optimization of Acquisition and Analysis Methods for Clinical Dynamic Susceptibility Contrast MRI Using a Population-Based Digital Reference Object. American Journal of Neuroradiology. 39(11). 1981–1988. 20 indexed citations

12.

Quarles, C. Chad, Laura C. Bell, & Ashley M. Stokes. (2018). Imaging vascular and hemodynamic features of the brain using dynamic susceptibility contrast and dynamic contrast enhanced MRI. NeuroImage. 187. 32–55. 42 indexed citations

13.

Bell, Laura C., Mark D. Does, Ashley M. Stokes, et al.. (2017). Optimization of DSC MRI Echo Times for CBV Measurements Using Error Analysis in a Pilot Study of High-Grade Gliomas. American Journal of Neuroradiology. 38(9). 1710–1715. 7 indexed citations

14.

Stokes, Ashley M., et al.. (2017). A Population-Based Digital Reference Object (DRO) for Optimizing Dynamic Susceptibility Contrast (DSC)-MRI Methods for Clinical Trials. Tomography. 3(1). 41–49. 19 indexed citations

15.

Malyarenko, Dariya, Andriy Fedorov, Laura C. Bell, et al.. (2017). Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies. Journal of Medical Imaging. 5(1). 1–1. 7 indexed citations

16.

Zha, Wei, Stanley J. Kruger, Kevin M. Johnson, et al.. (2017). Pulmonary ventilation imaging in asthma and cystic fibrosis using oxygen‐enhanced 3D radial ultrashort echo time MRI. Journal of Magnetic Resonance Imaging. 47(5). 1287–1297. 39 indexed citations

17.

Bell, Laura C., et al.. (2017). Characterizing the Influence of Preload Dosing on Percent Signal Recovery (PSR) and Cerebral Blood Volume (CBV) Measurements in a Patient Population with High-Grade Glioma Using Dynamic Susceptibility Contrast MRI. Tomography. 3(2). 89–95. 12 indexed citations

18.

Bannas, Peter, Laura C. Bell, Kevin M. Johnson, et al.. (2015). Pulmonary Embolism Detection with Three-dimensional Ultrashort Echo Time MR Imaging: Experimental Study in Canines. Radiology. 278(2). 413–421. 28 indexed citations

19.

Bell, Laura C., Kevin M. Johnson, Sean B. Fain, et al.. (2013). Simultaneous MRI of lung structure and perfusion in a single breathhold. Journal of Magnetic Resonance Imaging. 41(1). 52–59. 21 indexed citations

20.

Wang, Kang, Mark L. Schiebler, Christopher J. François, et al.. (2013). Pulmonary perfusion MRI using interleaved variable density sampling and HighlY constrained cartesian reconstruction (HYCR). Journal of Magnetic Resonance Imaging. 38(3). 751–756. 11 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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