Heather Collins

732 total citations
16 papers, 530 citations indexed

About

Heather Collins is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cognitive Neuroscience. According to data from OpenAlex, Heather Collins has authored 16 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Pathology and Forensic Medicine and 2 papers in Cognitive Neuroscience. Recurrent topics in Heather Collins's work include Advanced Neuroimaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Medical Malpractice and Liability Issues (2 papers). Heather Collins is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Medical Malpractice and Liability Issues (2 papers). Heather Collins collaborates with scholars based in United States, United Kingdom and China. Heather Collins's co-authors include Xun Zhu, Donna R. Roberts, Arindam Chatterjee, Maria Vittoria Spampinato, Moritz H. Albrecht, Michael U. Antonucci, Marc I. Chimowitz, Davud Asemani, Joseph A. Helpern and Jens H. Jensen and has published in prestigious journals such as New England Journal of Medicine, Radiology and Journal of Cognitive Neuroscience.

In The Last Decade

Heather Collins

15 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heather Collins United States 11 207 190 73 69 55 16 530
Michael R. Barratt United States 7 56 0.3× 298 1.6× 114 1.6× 27 0.4× 56 1.0× 12 395
Karina Marshall‐Goebel United States 18 160 0.8× 633 3.3× 313 4.3× 10 0.1× 172 3.1× 33 804
Steve C. N. Hui United States 19 340 1.6× 97 0.5× 42 0.6× 20 0.3× 18 0.3× 59 875
Rüdiger Mielke Germany 5 205 1.0× 102 0.5× 12 0.2× 9 0.1× 67 1.2× 7 480
Michael U. Antonucci United States 8 53 0.3× 202 1.1× 79 1.1× 4 0.1× 63 1.1× 20 311
Nicolas Coquery France 17 204 1.0× 95 0.5× 23 0.3× 18 0.3× 39 0.7× 34 720
M. Würker Germany 7 251 1.2× 29 0.2× 17 0.2× 11 0.2× 116 2.1× 9 571
Matthew Zammit United States 15 96 0.5× 226 1.2× 24 0.3× 18 0.3× 57 1.0× 39 643
Tao Gong China 14 195 0.9× 42 0.2× 11 0.2× 19 0.3× 126 2.3× 49 509
Stephanie D. Kraft-Terry United States 9 68 0.3× 92 0.5× 13 0.2× 10 0.1× 43 0.8× 10 642

Countries citing papers authored by Heather Collins

Since Specialization
Citations

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

Fields of papers citing papers by Heather Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather Collins

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

All Works

16 of 16 papers shown
1.
Spampinato, Maria Vittoria, et al.. (2025). Cross-Sectional Validation of an Automated Lesion Segmentation Software in Multiple Sclerosis: Comparison with Radiologist Assessments. American Journal of Neuroradiology. 46(7). 1510–1516.
2.
Collins, Heather, et al.. (2024). Beyond books: High school librarians as champions of pupil inclusivity, autonomy, and reader development. Journal of Librarianship and Information Science. 57(3). 674–686. 5 indexed citations
3.
Baruah, Dhiraj, et al.. (2022). COVID-19 Diagnosis on Chest Radiograph Using Artificial Intelligence. Cureus. 14(11). e31897–e31897. 2 indexed citations
4.
Spampinato, Maria Vittoria, et al.. (2017). Diffusional Kurtosis Imaging of the Corticospinal Tract in Multiple Sclerosis: Association with Neurologic Disability. American Journal of Neuroradiology. 38(8). 1494–1500. 12 indexed citations
5.
Roberts, Donna R., Moritz H. Albrecht, Heather Collins, et al.. (2017). Effects of Spaceflight on Astronaut Brain Structure as Indicated on MRI. New England Journal of Medicine. 377(18). 1746–1753. 198 indexed citations
6.
Roberts, Donna R., Arindam Chatterjee, Milad Yazdani, et al.. (2016). Pediatric Patients Demonstrate Progressive T1-Weighted Hyperintensity in the Dentate Nucleus following Multiple Doses of Gadolinium-Based Contrast Agent. American Journal of Neuroradiology. 37(12). 2340–2347. 87 indexed citations
7.
Falangola, Maria F., David N. Guilfoyle, Ali Tabesh, et al.. (2014). Histological correlation of diffusional kurtosis and white matter modeling metrics in cuprizone‐induced corpus callosum demyelination. NMR in Biomedicine. 27(8). 948–957. 73 indexed citations
8.
Nie, Xingju, Eric D. Hamlett, Ann‐Charlotte Granholm, et al.. (2014). Evidence of altered age-related brain cytoarchitecture in mouse models of down syndrome: a diffusional kurtosis imaging study. Magnetic Resonance Imaging. 33(4). 437–447. 13 indexed citations
9.
Lungren, Matthew P., Timothy J. Amrhein, Ben E. Paxton, et al.. (2013). Physician Self-Referral: Frequency of Negative Findings at MR Imaging of the Knee as a Marker of Appropriate Utilization. Radiology. 269(3). 810–815. 12 indexed citations
10.
Lungren, Matthew P., Timothy J. Amrhein, Ben E. Paxton, et al.. (2013). Physician Self-Referral: Frequency of Negative Findings at MR Imaging of the Knee as a Marker of Appropriate Utilization. Radiology. 130281–130281. 1 indexed citations
11.
Fitzgerald, Ryan T., Walter S. Bartynski, & Heather Collins. (2013). Vertebral Artery Position in the Setting of Cervical Degenerative Disease: Implications for Selective Cervical Transforaminal Epidural Injections. Interventional Neuroradiology. 19(4). 425–431. 18 indexed citations
12.
Collins, Heather, et al.. (2012). Process and Domain Specificity in Regions Engaged for Face Processing: An fMRI Study of Perceptual Differentiation. Journal of Cognitive Neuroscience. 24(12). 2428–2444. 15 indexed citations
13.
Collins, Heather, et al.. (2010). Identifying Patient Fear-Avoidance Beliefs by Physical Therapists Managing Patients With Low Back Pain. Journal of Orthopaedic and Sports Physical Therapy. 40(12). 774–783. 35 indexed citations
14.
Parrish, Mark L, Chris Wright, Heather Collins, et al.. (2010). cDNA targets improve whole blood gene expression profiling and enhance detection of pharmocodynamic biomarkers: a quantitative platform analysis. Journal of Translational Medicine. 8(1). 87–87. 7 indexed citations
15.
Geddes, Barney A., et al.. (2010). A locus necessary for the transport and catabolism of erythritol in Sinorhizobium meliloti. Microbiology. 156(10). 2970–2981. 26 indexed citations
16.
Soiffer, Robert J., Paul B. Chapman, Christine Murray, et al.. (1997). Administration of R24 monoclonal antibody and low-dose interleukin 2 for malignant melanoma.. PubMed. 3(1). 17–24. 26 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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