Armando Sena

26 papers receiving 398 citations

Peers

Armando Sena
Comparison fields: 5 of 66
  • Endocrine and Autonomic Systems 47
  • Pathology and Forensic Medicine 102
  • Developmental Neuroscience 23
  • Neurology 39
  • Rheumatology 55
Replace Michaela Iberl with:
Michaela Iberl United Kingdom
Barbara E. Teter United States
Dolores Moreno Spain
Regina Berkovich United States
Jing Chen‐Roetling United States
Brittany K. Matlock United States
Alexandru Tatomir United States
G. Coppolino Italy
José C. Utrilla Spain
Gwan Ui Hong South Korea
Armando Sena relative to Michaela Iberl United Kingdom Michaela Iberl's profile →
Citations per field
00.5×2×3.2×
Michaela Iberl · 1×
Citations per year

Countries citing papers authored by Armando Sena

Since Specialization
Citations

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

Fields of papers citing papers by Armando Sena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200379
2 198566
3 201243
4 198225
5 201822
6 200918
7 200016
8 198616
9 201514
10 199014
11 201012
12 19869
13 20069
14 20089
15 20168
16 20047
17 20197
18 19887
19 20127
20
Multiple sclerosis and intrathecal IgA synthesis.
19976

About Armando Sena

Armando Sena is a scholar working on Pathology and Forensic Medicine, Rheumatology, Oncology, Immunology and Physiology, having authored 28 papers that have together received 409 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (10 papers), Systemic Lupus Erythematosus Research (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Polyomavirus and related diseases (3 papers), Adipose Tissue and Metabolism (3 papers), Cell death mechanisms and regulation (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (47 citations), Pathology and Forensic Medicine (102 citations), Developmental Neuroscience (23 citations), Neurology (39 citations) and Rheumatology (55 citations). Armando Sena has collaborated with scholars based in Portugal, France and Denmark. Frequent co-authors include Maria Graça Morais, Gérard Rebel, Louis L. Sarliève, Joana Carvalho Vasconcelos, Rémy Couderc, Georges Tholey, Marc Ledig, Albert Waksman, P. Hubert and Filipe Palavra. Their work appears in journals such as Journal of the Neurological Sciences, Journal of Neurology, Neurology, Journal of Neurochemistry and European Journal of Neurology.

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.

Explore authors with similar magnitude of impact