Armando Sena

20 papers receiving 254 citations

Peers

Armando Sena
Comparison fields: 5 of 60
  • Endocrine and Autonomic Systems 42
  • Developmental Neuroscience 20
  • Pathology and Forensic Medicine 84
  • Immunology 47
  • Physiology 57
Replace Silvana Montella with:
Silvana Montella Italy
Antoine Gardin France
Francis A. Mithen United States
Regina Berkovich United States
E. Postler Germany
Osamu Yahara Japan
Kesav Raghavan United States
ROSARIA D’URSO Italy
Manman Zhao China
Judith López‐Fernández Spain
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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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198558
2 201240
3 198223
4 201819
5 200917
6 200014
7 199013
8 198613
9 201512
10 20109
11 20088
12 20168
13 20197
14 19886
15 20225
16
Multiple sclerosis and intrathecal IgA synthesis.
19975
17
[Gangliosides in neurobiology].
19932
18 20241
19
[Neuroscience and medical instruction].
19941
20 20121

About Armando Sena

Armando Sena is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Oncology, Rheumatology and Physiology, having authored 21 papers that have together received 262 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (9 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Systemic Lupus Erythematosus Research (4 papers), Adipose Tissue and Metabolism (3 papers), Polyomavirus and related diseases (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (42 citations), Developmental Neuroscience (20 citations), Pathology and Forensic Medicine (84 citations), Immunology (47 citations) and Physiology (57 citations). Armando Sena has collaborated with scholars based in Portugal, France and Denmark. Frequent co-authors include G. Rebel, Louis L. Sarliève, Rémy Couderc, Joana C. Vasconcelos, G. Tholey, Albert Waksman, P. Hubert, R. Couderc, M.G. Morais and M. Ledig. Their work appears in journals such as Journal of the Neurological Sciences, Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Clinical Medicine, PPAR Research and International Journal of Molecular Sciences.

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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