Eric D. Schwartz

1.4k total citations
37 papers, 1.1k citations indexed

About

Eric D. Schwartz is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Eric D. Schwartz has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pathology and Forensic Medicine and 7 papers in Neurology. Recurrent topics in Eric D. Schwartz's work include Advanced Neuroimaging Techniques and Applications (12 papers), Spinal Cord Injury Research (7 papers) and Advanced MRI Techniques and Applications (7 papers). Eric D. Schwartz is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (12 papers), Spinal Cord Injury Research (7 papers) and Advanced MRI Techniques and Applications (7 papers). Eric D. Schwartz collaborates with scholars based in United States, Denmark and Italy. Eric D. Schwartz's co-authors include David B. Hackney, Chih‐Liang Chin, Suzanne Wehrli, Abbas F. Jawad, Jonathan Nissanov, Yingli Fan, Scott N. Hwang, Adam E. Flanders, Félix W. Wehrli and Jed S. Shumsky and has published in prestigious journals such as Blood, Journal of the American College of Cardiology and NeuroImage.

In The Last Decade

Eric D. Schwartz

34 papers receiving 1.0k 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 D. Schwartz United States 17 573 316 264 153 132 37 1.1k
Benjamin De Leener Canada 17 646 1.1× 556 1.8× 173 0.7× 447 2.9× 96 0.7× 33 1.3k
Béatrice Benedetti Italy 18 520 0.9× 594 1.9× 90 0.3× 57 0.4× 119 0.9× 32 1.0k
Simon Lévy United States 15 475 0.8× 233 0.7× 121 0.5× 199 1.3× 83 0.6× 28 1.3k
Jean‐Marie Caillé France 14 680 1.2× 352 1.1× 87 0.3× 261 1.7× 91 0.7× 21 1.3k
Henrik Lundell Denmark 20 835 1.5× 367 1.2× 57 0.2× 113 0.7× 139 1.1× 59 1.4k
Hatsuho Mamata United States 17 1.4k 2.4× 118 0.4× 176 0.7× 217 1.4× 196 1.5× 27 1.7k
SS Kollias Switzerland 12 330 0.6× 94 0.3× 143 0.5× 148 1.0× 40 0.3× 23 767
D. Ducreux France 17 649 1.1× 96 0.3× 189 0.7× 182 1.2× 88 0.7× 52 1.2k
Sona Saksena India 21 794 1.4× 59 0.2× 110 0.4× 200 1.3× 53 0.4× 39 1.2k

Countries citing papers authored by Eric D. Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by Eric D. Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric D. Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Eric D. Schwartz. A scholar is included among the top collaborators of Eric D. Schwartz 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 D. Schwartz. Eric D. Schwartz 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.
Leiby, Benjamin E., James S. Harrop, Lubdha M. Shah, et al.. (2021). Validation of the National Institute of Neurological Disorders and Stroke Spinal Cord Injury MRI Common Data Elements Instrument. American Journal of Neuroradiology. 42(4). 787–793. 4 indexed citations
2.
Schwartz, D. A., A. Vikhlinin, H. Tananbaum, et al.. (2019). The Lynx X-ray Observatory: revealing the invisible universe. 19–19. 3 indexed citations
3.
McClure, Matthew W., Eric D. Schwartz, Alfred A. Bové, et al.. (2012). PREVALENCE AND MECHANISM OF PULMONARY HYPERTENSION IN CHRONIC HEMODIALYSIS BY INVASIVE MEASUREMENTS. Journal of the American College of Cardiology. 59(13). E1618–E1618.
4.
Raji, Cyrus A., Oscar L. López, J.F. Boardman, et al.. (2010). Initial Experience in Using Continuous Arterial Spin-Labeled MR Imaging for Early Detection of Alzheimer Disease. American Journal of Neuroradiology. 31(5). 847–855. 31 indexed citations
5.
Ong, Henry H., Suzanne Wehrli, André Souza, et al.. (2008). Indirect measurement of regional axon diameter in excised mouse spinal cord with q-space imaging: Simulation and experimental studies. NeuroImage. 40(4). 1619–1632. 100 indexed citations
6.
Groff, Robert F., Xiaohan Chen, Kevin D. Browne, et al.. (2008). Hemostatic and neuroprotective effects of human recombinant activated factor VII therapy after traumatic brain injury in pigs. Experimental Neurology. 210(2). 645–655. 18 indexed citations
7.
Flanders, Adam E., et al.. (2007). The Impact of Methylprednisolone on Lesion Severity Following Spinal Cord Injury. Spine. 32(3). 373–378. 39 indexed citations
8.
Lammertse, Daniel P., David Dungan, James N. Dreisbach, et al.. (2007). Neuroimaging in Traumatic Spinal Cord Injury: An Evidence-based Review for Clinical Practice and Research. Journal of Spinal Cord Medicine. 30(3). 205–214. 79 indexed citations
9.
Alokaili, Riyadh & Eric D. Schwartz. (2006). Bilateral aortic origins of the vertebral arteries with right vertebral artery arising distal to left subclavian artery: case report. Surgical Neurology. 67(2). 174–176. 16 indexed citations
10.
Krejza, Jarosław, et al.. (2006). In vivo DTI evaluation of white matter tracts in rat spinal cord. Journal of Magnetic Resonance Imaging. 24(1). 231–234. 31 indexed citations
11.
Schwartz, Eric D., Yingli Fan, Abbas F. Jawad, et al.. (2004). MRI diffusion coefficients in spinal cord correlate with axon morphometry. Neuroreport. 16(1). 73–76. 124 indexed citations
12.
Chin, Chih‐Liang, Félix W. Wehrli, Yingli Fan, et al.. (2004). Assessment of axonal fiber tract architecture in excised rat spinal cord by localized NMR q‐space imaging: Simulations and experimental studies. Magnetic Resonance in Medicine. 52(4). 733–740. 41 indexed citations
13.
Schwartz, Eric D. & David B. Hackney. (2003). Diffusion-weighted MRI and the evaluation of spinal cord axonal integrity following injury and treatment. Experimental Neurology. 184(2). 570–589. 75 indexed citations
15.
Schwartz, Eric D. & B. Timothy Himes. (2003). New model of minimally invasive experimental spinal cord injury.. American Journal of Neuroradiology. 24(2). 166–8. 7 indexed citations
16.
Liebeskind, David S., John R. Pollard, Eric D. Schwartz, et al.. (2002). Vertebrobasilar Thrombolysis with Intravenous Tirofiban: Case Report. Journal of Thrombosis and Thrombolysis. 13(2). 81–84. 5 indexed citations
17.
Schwartz, Eric D., et al.. (2002). Diffusion-weighted imaging of the spinal cord. Neuroimaging Clinics of North America. 12(1). 125–146. 20 indexed citations
18.
Schwartz, Eric D., Robert W. Hurst, Grant Sinson, & Linda J. Bagley. (2002). Complete regression of intracranial arteriovenous malformations. Surgical Neurology. 58(2). 139–147. 19 indexed citations
19.
O’Brien, William T., Eric D. Schwartz, Robert W. Hurst, & Grant Sinson. (2001). Spinal dural arteriovenous fistula with supply from sacral arteries. Surgical Neurology. 56(3). 175–176. 10 indexed citations
20.
Trifillis, Panayiota, et al.. (1993). Analysis of delta-globin gene mutations in Greek cypriots. Blood. 82(5). 1647–1651. 1 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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