Sona Mardanyan

2.9k citations
31 papers · 197 indexed · h-index 9
Topics
Adenosine and Purinergic Signaling (8 papers)Peptidase Inhibition and Analysis (8 papers)Alzheimer's disease research and treatments (6 papers)
Partner nations
ArmeniaItalyGermany

In The Last Decade

Sona Mardanyan

26 papers receiving 182 citations

Peers

Sona Mardanyan
Comparison fields: 5 of 68
  • Molecular Biology 61
  • Oncology 53
  • Physiology 44
  • Physiology 36
  • Cellular and Molecular Neuroscience 28
Replace Saikat Kumar Poddar with:
Saikat Kumar Poddar Bangladesh
Hongyue Liu China
Gaber El-Saber Batiha Egypt
Syed Jawad Ali Shah Pakistan
Amit N. Pandya India
Yunguang Qiu China
Sehbanul Islam India
Claudio Giuliano Italy
Heinz‐Werner Kleemann Germany
Yangliang Ye China
Sona Mardanyan relative to Saikat Kumar Poddar Bangladesh Saikat Kumar Poddar's profile →
Citations per field
00.5×
Saikat Kumar Poddar · 1×
Citations per year

Countries citing papers authored by Sona Mardanyan

Since Specialization
Citations

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

Fields of papers citing papers by Sona Mardanyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sona Mardanyan

This figure shows the co-authorship network connecting the top 25 collaborators of Sona Mardanyan. A scholar is included among the top collaborators of Sona Mardanyan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sona Mardanyan. Sona Mardanyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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6
Herbal preparations prevent beta-amyloid peptide induced hippocampal cell damage
1
7 21
8 3
9 1
10 5
11 10
12 0
13 9
14 6
15 9
16 18
17 27
18 2
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20 18

About Sona Mardanyan

Sona Mardanyan is a scholar working on Physiology, Biological Psychiatry and Oncology, having authored 31 papers that have together received 197 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (8 papers), Peptidase Inhibition and Analysis (8 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Physiology (44 citations), Oncology (53 citations) and Endocrinology, Diabetes and Metabolism (27 citations). Sona Mardanyan has collaborated with scholars based in Armenia, Italy and Germany. Frequent co-authors include Svetlana Sharoyan, Giulio Lupidi, G. Cristalli, Gloria Cristalli, Dagmar Schlenzig, Hans‐Ulrich Demuth, Stephan Schilling, Davood Ajloo, Armen A. Galoyan and Ali Akbar Moosavi‐Movahedi. Their work appears in journals such as Biochemical Journal, FEBS Letters and Annals of the Rheumatic Diseases.

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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