Liliana Viera

2.0k citations
34 papers · 1.5k indexed · 1 hit paper · h-index 17

Liliana Viera

34 papers receiving 1.5k citations

Hit Papers

Activated PMN Exosomes: Pathogenic Entities Causing Matri...3362019202620212023100200300

Peers

Liliana Viera
Comparison fields: 5 of 103
  • Neurology 342
  • Neurology 164
  • Genetics 190
  • Developmental Neuroscience 65
  • Physiology 311
Replace Ewa Matyja with:
Ewa Matyja Poland
Theresa Davies‐Hill United States
Dario Ronchi Italy
Chengqun Huang United States
Gillian M. Borthwick United Kingdom
Alan Gill United States
Kavi Devraj Germany
Lorraine M. Work United Kingdom
Joanne Wang United States
Takaaki Sasaki Japan
Liliana Viera relative to Ewa Matyja Poland Ewa Matyja's profile →
Citations per field
00.5×1.5×1.9×
Ewa Matyja · 1×
Citations per year

Countries citing papers authored by Liliana Viera

Since Specialization
Citations

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

Fields of papers citing papers by Liliana Viera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 20215
3 20219
4 201918
5
Activated PMN Exosomes: Pathogenic Entities Causing Matrix Destruction and Disease in the Lungbreakdown →
2019336
6 201934
7 20197
8 201876
9 201547
10 201221
11 201210
12 201027
13 200773
14 20033
15 20024
16 200035
17 1999110
18 199961
19 19966
20 19899

About Liliana Viera

Liliana Viera is a scholar working on Endocrine and Autonomic Systems, Physiology, Pulmonary and Respiratory Medicine, Neurology and Neurology, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (7 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Neonatal Respiratory Health Research (5 papers), Inhalation and Respiratory Drug Delivery (4 papers), Neuroscience of respiration and sleep (4 papers), Asthma and respiratory diseases (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). The work is most often cited by research in Neurology (342 citations), Neurology (164 citations), Genetics (190 citations), Developmental Neuroscience (65 citations) and Physiology (311 citations). Liliana Viera has collaborated with scholars based in United States, Uruguay and Netherlands. Frequent co-authors include Álvaro G. Estévez, Joseph S. Beckman, Patricia Cassina, Marcelo R. Vargas, Mariana Pehar, Luis Barbeito, Amit Gaggar, J. Edwin Blalock, Hugo Peluffo and Joseph S. Beckman. Their work appears in journals such as JCI Insight, American Journal of Respiratory and Critical Care Medicine, Journal of Neurochemistry, American Journal of Physiology-Lung Cellular and Molecular Physiology and Free Radical Biology and 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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