Megan Huang

2.8k citations
13 papers · 1.5k indexed · 2 hit papers · h-index 10

Megan Huang

13 papers receiving 1.5k citations

Hit Papers

Prognostic Value of Noninvasive Cardiovascular Testing in...2732015202620182022250500750

Peers

Megan Huang
Comparison fields: 5 of 94
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Aging 75
  • Cardiology and Cardiovascular Medicine 636
  • Critical Care and Intensive Care Medicine 59
  • Surgery 496
Replace Akiyoshi Hashimoto with:
Akiyoshi Hashimoto Japan
Roberta Montisci Italy
Lisa A. Mendes United States
Yuzo Hirota Japan
Kihei Yoneyama Japan
Shuhei Okazaki Japan
B.J. Gersh United States
Claudio Ramaciotti United States
Chester E. Clark United States
Jonathan Cohen Israel
Megan Huang relative to Akiyoshi Hashimoto Japan Akiyoshi Hashimoto's profile →
Citations per field
00.5×10×20×30×37.5×
Akiyoshi Hashimoto · 1×
Citations per year

Countries citing papers authored by Megan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Megan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 202410
2 202222
3 20229
4 20194
5
Prognostic Value of Noninvasive Cardiovascular Testing in Patients With Stable Chest Painbreakdown →
2017273
6 2016166
7 201626
8
Outcomes of Anatomical versus Functional Testing for Coronary Artery Diseasebreakdown →
2015846
9 20152
10 2015143
11 201429
12 201412
13 20145

About Megan Huang

Megan Huang is a scholar working on Aging, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 13 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (4 papers), Bladder and Urothelial Cancer Treatments (2 papers), Dietary Effects on Health (2 papers), Epigenetics and DNA Methylation (2 papers), Advanced MRI Techniques and Applications (2 papers), Acute Myocardial Infarction Research (2 papers), Cancer Research and Treatments (1 paper) and Pain Mechanisms and Treatments (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Aging (75 citations) and Cardiology and Cardiovascular Medicine (636 citations). Megan Huang has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Kerry L. Lee, Daniel B. Mark, Udo Hoffmann, Pamela S. Douglas, Andrzej S. Kosinski, Michael H. Picard, James E. Udelson, Manesh R. Patel, Christopher B. Fordyce and Rowena J Dolor. Their work appears in journals such as New England Journal of Medicine, Circulation and Journal of Clinical Oncology.

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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