Danielle Armas

17 papers receiving 300 citations

Peers

Danielle Armas
Comparison fields: 5 of 65
  • Cardiology and Cardiovascular Medicine 65
  • Endocrinology, Diabetes and Metabolism 47
  • Pulmonary and Respiratory Medicine 74
  • Endocrine and Autonomic Systems 15
  • Hepatology 17
Replace Marija Branković with:
Marija Branković Serbia
Shigeki Iwasaki Japan
İbrahim Halil Altıparmak Türkiye
Kenneth Coggins United States
Javier Modrego Spain
Shuichi Mihara Japan
Chaoyang Chen China
Kun Miao China
Nagwa Mohamed Egypt
Michal Kudla Czechia
Danielle Armas relative to Marija Branković Serbia Marija Branković's profile →
Citations per field
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Marija Branković · 1×
Citations per year

Countries citing papers authored by Danielle Armas

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Armas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201563
2 202042
3 201641
4 202231
5 202029
6 201125
7 201520
8 201918
9 20189
10 20198
11 20247
12 20215
13 20243
14 20153
15 20193
16 20213
17 20242
18 20250

About Danielle Armas

Danielle Armas is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 312 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Analytical Methods in Pharmaceuticals (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cardiomyopathy and Myosin Studies (2 papers), HIV/AIDS drug development and treatment (2 papers), Pancreatic function and diabetes (1 paper), HIV Research and Treatment (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (65 citations), Endocrinology, Diabetes and Metabolism (47 citations), Pulmonary and Respiratory Medicine (74 citations), Endocrine and Autonomic Systems (15 citations) and Hepatology (17 citations). Danielle Armas has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Jaymes Holland, Steven Lacy, Linh Thuy Nguyen, Richard D. Mamelok, Dennis Swearingen, Hanbin Li, Caly Chien, Anna Osmukhina, Laura Robertson and Ignacio Durán. Their work appears in journals such as The Journal of Clinical Pharmacology, Journal of Hepatology, Clinical and Translational Science, Diabetes Obesity and Metabolism and The Journal of the American Board of Family Medicine.

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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