Beth Goddu

2.2k citations
71 papers · 1.6k · h-index 22

Impact in

Papers in

Beth Goddu

67 papers receiving 1.6k citations

Peers

Beth Goddu
Comparison fields: 5 of 59
  • Radiology, Nuclear Medicine and Imaging 948
  • Cardiology and Cardiovascular Medicine 665
  • Computational Mathematics 4
  • Health Informatics 6
  • Epidemiology 105
Replace Tamer Basha with:
Tamer Basha United States
Aurélien Bustin France
Davide Piccini Switzerland
Sébastien Roujol United States
Daniel Kim United States
Markus Henningsson United Kingdom
Lois Goepfert United States
Michael O. Zenge Germany
Sathya Vijayakumar United States
Ning Jin United States
Beth Goddu relative to Tamer Basha United States Tamer Basha's profile →
Citations per field
00.5×2.7×
Tamer Basha · 1×
Citations per year

Countries citing papers authored by Beth Goddu

Since Specialization
Citations

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

Fields of papers citing papers by Beth Goddu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beth Goddu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beth Goddu Line = papers co-authored together Beth Goddu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008171
2 2013143
3 2009123
4 2011116
5 2016101
6 201077
7 200953
8 200744
9 202037
10 201236
11 201435
12 201128
13 201928
14 202227
15 201225
16 202325
17 201025
18 201123
19 201023
20 202121

About Beth Goddu

Beth Goddu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Surgery, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (41 papers), Cardiac Imaging and Diagnostics (36 papers), Atomic and Subatomic Physics Research (11 papers), Cardiovascular Function and Risk Factors (8 papers), Cardiac Valve Diseases and Treatments (6 papers), Medical Imaging Techniques and Applications (5 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (948 citations), Cardiology and Cardiovascular Medicine (665 citations), Computational Mathematics (4 citations), Health Informatics (6 citations) and Epidemiology (105 citations). Beth Goddu has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Reza Nezafat, Warren J. Manning, Kraig V. Kissinger, Dana C. Peters, Tamer Basha, Mehmet Akçakaya, Yuchi Han, Lois Goepfert, Sophie Berg and Long Ngo. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Cardiovascular Magnetic Resonance, Journal of Magnetic Resonance Imaging, JACC. Cardiovascular imaging and NMR in Biomedicine.

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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