Scott Akers

1.8k citations
62 papers · 1.2k indexed · h-index 21

Scott Akers

59 papers receiving 1.2k citations

Peers

Scott Akers
Comparison fields: 5 of 103
  • Cardiology and Cardiovascular Medicine 538
  • Radiology, Nuclear Medicine and Imaging 358
  • Nephrology 77
  • Internal Medicine 40
  • Pulmonary and Respiratory Medicine 219
Replace Eddy Barasch with:
Eddy Barasch United States
Mustafa Çetın Türkiye
Ramazan Akdemir Türkiye
Francesca Di Serio Italy
Carles Paré Spain
William E. Moody United Kingdom
Gian Paolo Bezante Italy
Roberto Lorbeer Germany
Norifumi Kubo Japan
Goo‐Yeong Cho South Korea
Scott Akers relative to Eddy Barasch United States Eddy Barasch's profile →
Citations per field
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Citations per year

Countries citing papers authored by Scott Akers

Since Specialization
Citations

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

Fields of papers citing papers by Scott Akers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Scott Akers, 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 Scott Akers Line = papers co-authored together Scott Akers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20217
3 20190
4 20181
5 20182
6 201848
7 20180
8 201815
9 201816
10 20171
11
Abstract 15658: Arginine-vasopressin Levels Are Increased in Heart Failure With Preserved Ejection Fraction and Correlate With LV Hypertrophy
20161
12 201618
13 201541
14 201510
15 20141
16 201328
17 201323
18 199929
19 19912
20 19911

About Scott Akers

Scott Akers is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Nephrology, Pulmonary and Respiratory Medicine and Emergency Medicine, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (23 papers), Cardiac Imaging and Diagnostics (18 papers), Cardiovascular Health and Disease Prevention (10 papers), Medical Imaging Techniques and Applications (7 papers), Advanced MRI Techniques and Applications (6 papers), Vitamin K Research Studies (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cardiac Valve Diseases and Treatments (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (538 citations), Radiology, Nuclear Medicine and Imaging (358 citations), Nephrology (77 citations), Internal Medicine (40 citations) and Pulmonary and Respiratory Medicine (219 citations). Scott Akers has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include Julio A. Chirinos, Vincent L. Kish, William R. Post, Abass Alavi, Jonathan J. Lee, Bilal Ansari, Gang Cheng, Thomas Werner, Patrick Segers and Esther Lim. Their work appears in journals such as Journal of the American Heart Association, Journal of the American College of Cardiology, American Journal of Hypertension, Journal of the American College of Radiology and Circulation Cardiovascular Imaging.

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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