Eric H. Hanson

924 total citations
18 papers, 682 citations indexed

About

Eric H. Hanson is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Eric H. Hanson has authored 18 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Neurology. Recurrent topics in Eric H. Hanson's work include Advanced MRI Techniques and Applications (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Respiratory viral infections research (2 papers). Eric H. Hanson is often cited by papers focused on Advanced MRI Techniques and Applications (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Respiratory viral infections research (2 papers). Eric H. Hanson collaborates with scholars based in United States, Germany and Finland. Eric H. Hanson's co-authors include William W. Orrison, Thomas G. Perkins, Richard D. Tandy, David Watson, Erik N. Ringdahl, Robb Rowley, Brian K. Agan, David A. Stenger, Anthony P. Malanoski and Baochuan Lin and has published in prestigious journals such as PLoS ONE, American Journal of Epidemiology and Genome Research.

In The Last Decade

Eric H. Hanson

18 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric H. Hanson United States 8 245 200 181 146 106 18 682
Christopher A. Fisher United Kingdom 16 480 2.0× 527 2.6× 147 0.8× 92 0.6× 14 0.1× 36 998
Agnès Jamin France 15 62 0.3× 49 0.2× 85 0.5× 34 0.2× 15 0.1× 25 884
D. Claus Germany 9 63 0.3× 42 0.2× 47 0.3× 92 0.6× 23 0.2× 19 544
M. Marconi Italy 16 105 0.4× 59 0.3× 12 0.1× 97 0.7× 32 0.3× 44 700
A. K. Saraya India 11 206 0.8× 95 0.5× 95 0.5× 35 0.2× 9 0.1× 44 497
Tunç Fışgın Türkiye 13 245 1.0× 173 0.9× 35 0.2× 91 0.6× 8 0.1× 49 702
R. W. Strachan United Kingdom 12 53 0.2× 53 0.3× 21 0.1× 56 0.4× 72 0.7× 20 823
Gayane Manukyan Armenia 15 80 0.3× 49 0.2× 30 0.2× 58 0.4× 9 0.1× 43 831
H. Kofler Austria 17 47 0.2× 81 0.4× 23 0.1× 46 0.3× 8 0.1× 39 762
U Skansén-Saphir Sweden 8 156 0.6× 21 0.1× 50 0.3× 98 0.7× 54 0.5× 8 615

Countries citing papers authored by Eric H. Hanson

Since Specialization
Citations

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

Fields of papers citing papers by Eric H. Hanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric H. Hanson. 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 Eric H. Hanson. The network helps show where Eric H. Hanson may publish in the future.

Co-authorship network of co-authors of Eric H. Hanson

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

All Works

18 of 18 papers shown
1.
Murdock, David R., Jill A. Rosenfeld, Lindsay C. Burrage, et al.. (2021). Long-read sequencing for diagnosis in the Undiagnosed Diseases Network. Molecular Genetics and Metabolism. 132. S253–S254. 1 indexed citations
2.
Hanson, Eric H., et al.. (2013). Assessment of Tracer Delay Effect in Whole-Brain Computed Tomography Perfusion. Journal of Computer Assisted Tomography. 37(2). 222–232. 2 indexed citations
3.
Hanson, Eric H., et al.. (2013). Assessment of the Tracer Delay Effect in Whole-Brain Computed Tomography Perfusion. Journal of Computer Assisted Tomography. 37(2). 212–221. 3 indexed citations
4.
Hanson, Eric H., et al.. (2012). Multiparametric 3.0 Tesla MRI of the Brain in Fabry Disease. Molecular Genetics and Metabolism. 105(2). S33–S33. 1 indexed citations
5.
Orrison, William W., Kenneth V. Snyder, L. Nelson Hopkins, et al.. (2011). Whole-brain dynamic CT angiography and perfusion imaging. Clinical Radiology. 66(6). 566–574. 39 indexed citations
6.
Russell, Cheryl, et al.. (2011). Appearance and impact of post-operative intracranial clips and coils on whole-brain CT angiography and perfusion. European Journal of Radiology. 81(5). 960–967. 5 indexed citations
7.
Hanson, Eric H., et al.. (2011). Clinical indications and utilization of 320-detector row CT in 2500 outpatients. Computerized Medical Imaging and Graphics. 35(4). 266–274. 1 indexed citations
8.
Hanson, Eric H., et al.. (2010). Developmental venous anomalies: appearance on whole-brain CT digital subtraction angiography and CT perfusion. Neuroradiology. 53(5). 331–341. 27 indexed citations
9.
Orrison, William W., et al.. (2009). Traumatic Brain Injury: A Review and High-Field MRI Findings in 100 Unarmed Combatants Using a Literature-Based Checklist Approach. Journal of Neurotrauma. 26(5). 689–701. 78 indexed citations
10.
Yahyavi‐Firouz‐Abadi, Noushin, et al.. (2009). Steroid-Responsive Large Vessel Vasculitis: Application of Whole-Brain 320-Detector Row Dynamic Volume CT Angiography and Perfusion. American Journal of Neuroradiology. 30(7). 1409–1411. 24 indexed citations
11.
Hanson, Eric H., Rahul Mishra, David S. Chang, et al.. (2009). Sagittal whole-spine magnetic resonance imaging in 750 consecutive outpatients: accurate determination of the number of lumbar vertebral bodies. Journal of Neurosurgery Spine. 12(1). 47–55. 30 indexed citations
12.
Perkins, Thomas G., et al.. (2008). Whole-spine dynamic magnetic resonance study of contortionists: anatomy and pathology. Journal of Neurosurgery Spine. 8(6). 501–509. 7 indexed citations
13.
Lin, Baochuan, Anthony P. Malanoski, Zheng Wang, et al.. (2007). Application of Broad-Spectrum, Sequence-Based Pathogen Identification in an Urban Population. PLoS ONE. 2(5). e419–e419. 24 indexed citations
14.
Lin, Baochuan, Zheng Wang, Gary J. Vora, et al.. (2006). Broad-spectrum respiratory tract pathogen identification using resequencing DNA microarrays. Genome Research. 16(4). 527–535. 106 indexed citations
15.
Hanson, Eric H., Debra M. Niemeyer, Les Folio, Brian K. Agan, & Robb Rowley. (2004). Potential Use of Microarray Technology for Rapid Identification of Central Nervous System Pathogens. Military Medicine. 169(8). 594–599. 6 indexed citations
16.
Folio, Les, Eric H. Hanson, & Susan Y. Chao. (2002). Generalizability of U.S. Air Force Studies: 1990 and 2000 Demographic Distribution Comparison of U.S. Active Duty Air Force Personnel and the U.S. General Population. Military Medicine. 167(11). 911–919. 3 indexed citations
17.
Hanson, Eric H., et al.. (2001). An aviator with cardiomyopathy and genetic susceptibility to hereditary hemochromatosis: a case report.. PubMed. 72(10). 924–7. 1 indexed citations
18.
Hanson, Eric H.. (2001). HFE Gene and Hereditary Hemochromatosis: A HuGE Review. American Journal of Epidemiology. 154(3). 193–206. 324 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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