Danielle Armas

478 citations
18 papers · 326 · h-index 9

Impact in

Papers in

Danielle Armas

17 papers receiving 314 citations

Peers

Danielle Armas
Comparison fields: 5 of 62
  • Endocrinology, Diabetes and Metabolism 47
  • Cardiology and Cardiovascular Medicine 60
  • Pulmonary and Respiratory Medicine 70
  • Hepatology 15
  • Psychiatry and Mental health 28
Replace Yoshiyuki Kitamura with:
Yoshiyuki Kitamura Japan
Clara García-Carro Spain
Takeo Yasu Japan
Carlos D. Minacapelli United States
Li‐Chiu Wu Taiwan
Paul N. Mudd United States
Selina Moy United States
Komuraiah Myakala United States
R. Boger United States
Barbara Guisan Switzerland
Danielle Armas relative to Yoshiyuki Kitamura Japan Yoshiyuki Kitamura's profile →
Citations per field
00.5×2.9×
Yoshiyuki Kitamura · 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 201565
2 201643
3 202042
4 202236
5 202029
6 201125
7 201522
8 201918
9 20189
10 20198
11 20248
12 20215
13 20244
14 20214
15 20153
16 20193
17 20242
18 20250

About Danielle Armas

Danielle Armas is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 326 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), HIV/AIDS drug development and treatment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Biomedical Research and Pathophysiology (1 paper), Antifungal resistance and susceptibility (1 paper), Vasculitis and related conditions (1 paper) and Obstructive Sleep Apnea Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (47 citations), Cardiology and Cardiovascular Medicine (60 citations), Pulmonary and Respiratory Medicine (70 citations), Hepatology (15 citations) and Psychiatry and Mental health (28 citations). Danielle Armas has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Jaymes Holland, Dennis Swearingen, Linh Thuy Nguyen, Steven Lacy, Richard D. Mamelok, Anna Osmukhina, Scott D. Solomon, William C. Sessa, Fady I. Malik and Laura Robertson. Their work appears in journals such as Journal of Hepatology, Clinical and Translational Science, The Journal of Clinical Pharmacology, JACC Basic to Translational Science and Antimicrobial Agents and Chemotherapy.

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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