Enn-Ling Chen

765 total citations · 1 hit paper
13 papers, 581 citations indexed

About

Enn-Ling Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biophysics. According to data from OpenAlex, Enn-Ling Chen has authored 13 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Biophysics. Recurrent topics in Enn-Ling Chen's work include Advanced MRI Techniques and Applications (11 papers), Cardiac Imaging and Diagnostics (7 papers) and Electron Spin Resonance Studies (2 papers). Enn-Ling Chen is often cited by papers focused on Advanced MRI Techniques and Applications (11 papers), Cardiac Imaging and Diagnostics (7 papers) and Electron Spin Resonance Studies (2 papers). Enn-Ling Chen collaborates with scholars based in United States, United Kingdom and Germany. Enn-Ling Chen's co-authors include Raymond J. Kim, Robert M. Judd, Elizabeth Jenista, Han W. Kim, Wolfgang Rehwald, Michele Parker, David C. Wendell, Lowie Van Assche, Raymond Kim and Christoph Jensen and has published in prestigious journals such as Circulation, PLoS ONE and Radiology.

In The Last Decade

Enn-Ling Chen

13 papers receiving 565 citations

Hit Papers

Myocardial Gd-DTPA Kinetics Determine MRI Contrast Enhanc... 1996 2026 2006 2016 1996 100 200 300 400 500
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.

  1. Myocardial Gd-DTPA Kinetics Determine MRI Contrast Enhancement and Reflect the Extent and Severity of Myocardial Injury After Acute Reperfused Infarction
    1996 519 citations Raymond J. Kim, Enn-Ling Chen et al. Circulation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enn-Ling Chen United States 5 484 334 73 66 27 13 581
Abiola J Oki United States 5 572 1.2× 535 1.6× 83 1.1× 47 0.7× 31 1.1× 11 720
Li-Yueh Hsu United States 3 449 0.9× 444 1.3× 68 0.9× 42 0.6× 23 0.9× 4 596
Thomas Kokocinski Germany 6 594 1.2× 404 1.2× 139 1.9× 108 1.6× 10 0.4× 7 702
Joshi Cherayath Australia 5 419 0.9× 571 1.7× 109 1.5× 37 0.6× 12 0.4× 6 692
Alexander Gotschy Switzerland 13 316 0.7× 350 1.0× 99 1.4× 65 1.0× 10 0.4× 49 583
Rozann Hansford United States 7 365 0.8× 496 1.5× 34 0.5× 35 0.5× 10 0.4× 8 594
Darach O h-Icí Germany 10 210 0.4× 297 0.9× 66 0.9× 17 0.3× 15 0.6× 23 392
Steve Liao United States 9 262 0.5× 227 0.7× 132 1.8× 74 1.1× 12 0.4× 19 467
Mun Young Paek South Korea 14 290 0.6× 152 0.5× 70 1.0× 41 0.6× 17 0.6× 28 425
J Vargas United States 3 888 1.8× 713 2.1× 169 2.3× 118 1.8× 12 0.4× 4 1.0k

Countries citing papers authored by Enn-Ling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Enn-Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enn-Ling Chen. 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 Enn-Ling Chen. The network helps show where Enn-Ling Chen may publish in the future.

Co-authorship network of co-authors of Enn-Ling Chen

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

All Works

13 of 13 papers shown
1.
Azevedo, Clerio F., Han W. Kim, Elizabeth Jenista, et al.. (2022). Native T1 Mapping for the Diagnosis of Myocardial Fibrosis in Patients With Chronic Myocardial Infarction. JACC. Cardiovascular imaging. 15(12). 2069–2079. 7 indexed citations
2.
Azevedo, Clerio F., Elizabeth Jenista, Han W. Kim, et al.. (2022). Assessment of myocardial lipomatous metaplasia using an optimized out‐of‐phase cine steady‐state free‐precession sequence: Validation and clinical implementation. NMR in Biomedicine. 35(10). e4777–e4777. 2 indexed citations
3.
Wendell, David C., Elizabeth Jenista, Han W. Kim, et al.. (2022). Assessment of Papillary Muscle Infarction with Dark-Blood Delayed Enhancement Cardiac MRI in Canines and Humans. Radiology. 305(2). 329–338. 4 indexed citations
4.
Kim, Han W., Wolfgang Rehwald, David C. Wendell, et al.. (2016). Flow-Independent Dark-blood DeLayed Enhancement (FIDDLE): validation of a novel black blood technique for the diagnosis of myocardial infarction. Journal of Cardiovascular Magnetic Resonance. 18. O55–O55. 10 indexed citations
5.
Jenista, Elizabeth, Wolfgang Rehwald, Han W. Kim, et al.. (2016). Suppression of ghost artifacts arising from long T1 species in segmented inversion‐recovery imaging. Magnetic Resonance in Medicine. 78(4). 1442–1451. 4 indexed citations
6.
Jenista, Elizabeth, Wolfgang Rehwald, Han W. Kim, et al.. (2016). Validation of a novel dark-blood delayed enhancement technique for the detection of papillary muscle scar. Journal of Cardiovascular Magnetic Resonance. 18. Q6–Q6. 2 indexed citations
7.
Jenista, Elizabeth, David C. Wendell, Han W. Kim, et al.. (2016). Comparison of T2-preparation and magnetization-transfer preparation for black blood delayed enhancement. Journal of Cardiovascular Magnetic Resonance. 18. Q10–Q10. 2 indexed citations
8.
Jenista, Elizabeth, Wolfgang Rehwald, Han W. Kim, et al.. (2012). Phase sensitive inversion recovery with simultaneous dark fat rendering by virtual chemical inversion. Journal of Cardiovascular Magnetic Resonance. 14(S1). 1 indexed citations
9.
Klem, Igor, Enn-Ling Chen, Wolfgang Rehwald, et al.. (2012). Time course of the effect of ferumoxytol on T1-relaxation times of blood, liver, myocardium, and acute infarction. Journal of Cardiovascular Magnetic Resonance. 14(S1). 2 indexed citations
10.
Rehwald, Wolfgang, Elizabeth Jenista, Michele Parker, et al.. (2011). Adiabatic T2-preparation modules optimized for robustness toward cardiac motion and flow - a comparison with existing techniques at 3 Tesla. Journal of Cardiovascular Magnetic Resonance. 13(S1). 11 indexed citations
11.
Chen, Enn-Ling & Raymond J. Kim. (2010). Magnetic Resonance Water Proton Relaxation in Protein Solutions and Tissue: T1ρ Dispersion Characterization. PLoS ONE. 5(1). e8565–e8565. 16 indexed citations
12.
Rehwald, Wolfgang, Michael Salerno, Stephen Darty, et al.. (2008). 1139 Elimination of ghosting artifacts originating from body fluids with long T1 values in segmented ECG-gated IR-prepared sequences. Journal of Cardiovascular Magnetic Resonance. 10. A264–A264. 1 indexed citations
13.
Kim, Raymond J., et al.. (1996). Myocardial Gd-DTPA Kinetics Determine MRI Contrast Enhancement and Reflect the Extent and Severity of Myocardial Injury After Acute Reperfused Infarction. Circulation. 94(12). 3318–3326. 519 indexed citations breakdown →

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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