Eric Han

3.8k total citations
36 papers, 3.1k citations indexed

About

Eric Han is a scholar working on Radiology, Nuclear Medicine and Imaging, Rheumatology and Orthopedics and Sports Medicine. According to data from OpenAlex, Eric Han has authored 36 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Rheumatology and 4 papers in Orthopedics and Sports Medicine. Recurrent topics in Eric Han's work include Advanced MRI Techniques and Applications (21 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and MRI in cancer diagnosis (7 papers). Eric Han is often cited by papers focused on Advanced MRI Techniques and Applications (21 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and MRI in cancer diagnosis (7 papers). Eric Han collaborates with scholars based in United States, Canada and Spain. Eric Han's co-authors include Sharmila Majumdar, Garry E. Gold, Reed F. Busse, Pratik Mukherjee, Christopher P. Hess, Jean H. Brittain, Christopher Beaulieu, Graham A. Wright, Jeff A Stainsby and Sarah J. Nelson and has published in prestigious journals such as The Journal of Immunology, NeuroImage and Radiology.

In The Last Decade

Eric Han

34 papers receiving 3.0k 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 Han United States 23 2.0k 633 572 500 445 36 3.1k
Hsiao‐Wen Chung Taiwan 32 1.7k 0.9× 391 0.6× 166 0.3× 234 0.5× 528 1.2× 133 2.8k
Martijn Froeling Netherlands 30 1.9k 1.0× 361 0.6× 176 0.3× 335 0.7× 457 1.0× 121 2.8k
José G. Raya United States 22 1.4k 0.7× 454 0.7× 475 0.8× 447 0.9× 456 1.0× 62 2.3k
Olaf Dietrich Germany 45 4.7k 2.4× 702 1.1× 462 0.8× 764 1.5× 820 1.8× 174 6.9k
Petros Martirosian Germany 38 3.2k 1.6× 533 0.8× 123 0.2× 462 0.9× 294 0.7× 177 4.3k
M. Deimling Germany 32 2.1k 1.1× 666 1.1× 338 0.6× 505 1.0× 429 1.0× 87 3.6k
Frank Träber Germany 41 2.6k 1.3× 219 0.3× 206 0.4× 299 0.6× 186 0.4× 133 4.6k
Masaaki Hori Japan 41 3.4k 1.7× 365 0.6× 213 0.4× 213 0.4× 350 0.8× 234 5.4k
Élodie Breton France 15 5.6k 2.8× 316 0.5× 123 0.2× 348 0.7× 532 1.2× 53 6.4k
Mark D. Does United States 50 4.7k 2.4× 382 0.6× 147 0.3× 410 0.8× 1.1k 2.5× 155 6.3k

Countries citing papers authored by Eric Han

Since Specialization
Citations

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

Fields of papers citing papers by Eric Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Han

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Han. A scholar is included among the top collaborators of Eric Han 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 Han. Eric Han 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.
Kargar, Mona, et al.. (2025). Modulatory effects of M3 muscarinic acetylcholine receptor on inflammatory profiles of human memory T helper cells. The Journal of Immunology. 214(9). 2244–2255. 1 indexed citations
3.
Oliveira, Helena, Daiqin Chen, Eric Han, et al.. (2023). Tyrosine-Mutant AAV8 Vector Mediated Efficient and Safe Gene Transfer of Pigment Epithelium-Derived Factor to Mouse Lungs. Cellular Physiology and Biochemistry. 57(5). 331–344. 3 indexed citations
4.
Kuperman, Joshua, Timothy T. Brown, Mazyar Ahmadi Golsefidi, et al.. (2011). Prospective motion correction improves diagnostic utility of pediatric MRI scans. Pediatric Radiology. 41(12). 1578–1582. 43 indexed citations
5.
Chen, Weitian, Atsushi Takahashi, & Eric Han. (2011). Quantitative T1ρ imaging using phase cycling for B0 and B1 field inhomogeneity compensation. Magnetic Resonance Imaging. 29(5). 608–619. 37 indexed citations
7.
Brown, Timothy T., Joshua Kuperman, Matthew Erhart, et al.. (2010). Prospective motion correction of high-resolution magnetic resonance imaging data in children. NeuroImage. 53(1). 139–145. 101 indexed citations
8.
Carl, Michael, Mark Bydder, Jiang Du, & Eric Han. (2010). Radiofrequency pulses for simultaneous short T2 excitation and long T2 suppression. Magnetic Resonance in Medicine. 65(2). 531–537. 5 indexed citations
9.
Öztürk-Işık, Esin, Albert P. Chen, Jason C. Crane, et al.. (2009). 3D sensitivity encoded ellipsoidal MR spectroscopic imaging of gliomas at 3T. Magnetic Resonance Imaging. 27(9). 1249–1257. 16 indexed citations
10.
White, Nathan S., Ajit Shankaranarayanan, Eric Han, et al.. (2009). PROMO: Real‐time prospective motion correction in MRI using image‐based tracking. Magnetic Resonance in Medicine. 63(1). 91–105. 281 indexed citations
11.
Sarıtaş, Emine Ülkü, Charles H. Cunningham, Jin Hyung Lee, Eric Han, & Dwight G. Nishimura. (2008). DWI of the spinal cord with reduced FOV single‐shot EPI. Magnetic Resonance in Medicine. 60(2). 468–473. 221 indexed citations
12.
Carballido‐Gamio, Julio, Thomas M. Link, Xiaojuan Li, et al.. (2008). Feasibility and reproducibility of relaxometry, morphometric, and geometrical measurements of the hip joint with magnetic resonance imaging at 3T. Journal of Magnetic Resonance Imaging. 28(1). 227–235. 51 indexed citations
13.
Oh, Joonmi, Eric Han, Michael Lee, Sarah J. Nelson, & Daniel Pelletier. (2007). Multislice Brain Myelin Water Fractions at 3T in Multiple Sclerosis. Journal of Neuroimaging. 17(2). 156–163. 62 indexed citations
14.
Zuo, Jin, Xiaojuan Li, Suchandrima Banerjee, Eric Han, & Sharmila Majumdar. (2007). Parallel imaging of knee cartilage at 3 Tesla. Journal of Magnetic Resonance Imaging. 26(4). 1001–1009. 37 indexed citations
15.
Berman, Jeffrey, Sung Won Chung, Pratik Mukherjee, et al.. (2007). Probabilistic streamline q-ball tractography using the residual bootstrap. NeuroImage. 39(1). 215–222. 119 indexed citations
16.
Carballido‐Gamio, Julio, Duan Xu, David C. Newitt, et al.. (2006). Single-shot fast spin-echo diffusion tensor imaging of the lumbar spine at 1.5 and 3 T. Magnetic Resonance Imaging. 25(5). 665–670. 16 indexed citations
17.
Hess, Christopher P., Pratik Mukherjee, Eric Han, Duan Xu, & Daniel B. Vigneron. (2006). Q‐ball reconstruction of multimodal fiber orientations using the spherical harmonic basis. Magnetic Resonance in Medicine. 56(1). 104–117. 282 indexed citations
18.
Lupo, Janine, Michael Lee, Eric Han, et al.. (2006). Feasibility of dynamic susceptibility contrast perfusion MR imaging at 3T using a standard quadrature head coil and eight‐channel phased‐array coil with and without SENSE reconstruction. Journal of Magnetic Resonance Imaging. 24(3). 520–529. 22 indexed citations
19.
Blumenkrantz, Gabrielle, Xiaojuan Li, Eric Han, et al.. (2006). A feasibility study of in vivo T1ρ imaging of the intervertebral disc. Magnetic Resonance Imaging. 24(8). 1001–1007. 46 indexed citations
20.
Oh, Joonmi, Eric Han, Daniel Pelletier, & Sarah J. Nelson. (2005). Measurement of in vivo multi-component T2 relaxation times for brain tissue using multi-slice T2 prep at 1.5 and 3 T. Magnetic Resonance Imaging. 24(1). 33–43. 123 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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