Mayar Ali

553 citations
8 papers · 287 · h-index 5

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Long-Term Effects of COVID-19
    • Barrier Structure and Function Studies

Papers in

    • Cell Image Analysis Techniques 1
    • RNA Interference and Gene Delivery 2
    • Single-cell and spatial transcriptomics 2

Mayar Ali

7 papers receiving 284 citations

Peers

Mayar Ali
Comparison fields: 5 of 59
  • Neurology 64
  • Drug Discovery 1
  • Biological Psychiatry 4
  • Neurology 38
  • Biophysics 18
Replace Zeynep Ilgin Kolabas with:
Zeynep Ilgin Kolabas Germany
Müge Molbay Germany
Izabela Horvath Germany
Jay Roodselaar United Kingdom
Ryo Mukai Japan
Mackenzie Welch United States
Shupei Zhang United States
Isabelle G. Tobey United States
Marissa Lisa Dubbelaar Germany
Sebastian Knöbel Germany
Mayar Ali relative to Zeynep Ilgin Kolabas Germany Zeynep Ilgin Kolabas's profile →
Citations per field
00.5×1.5×
Zeynep Ilgin Kolabas · 1×
Citations per year

Countries citing papers authored by Mayar Ali

Since Specialization
Citations

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

Fields of papers citing papers by Mayar Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Mayar Ali, 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 Mayar Ali Line = papers co-authored together Mayar Ali links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2023124
2 202295
3 202436
4 202522
5 20245
6 20253
7 20252
8 20260

About Mayar Ali

Mayar Ali is a scholar working on Biophysics, Molecular Biology, Neurology, Biomaterials and Neurology, having authored 8 papers that have together received 287 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (2 papers), Single-cell and spatial transcriptomics (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Nanoparticle-Based Drug Delivery (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Long-Term Effects of COVID-19 (1 paper), Mass Spectrometry Techniques and Applications (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Neurology (64 citations), Drug Discovery (1 citation), Biological Psychiatry (4 citations), Neurology (38 citations) and Biophysics (18 citations). Mayar Ali has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Tim Treis, Soroor Hediyeh-zadeh, Karin Hrovatin, Giovanni Palla, Fabian Joachim Theis, Anna Christina Schaar, David Sebastian Fischer, David‐Paul Minde, Sabrina Richter and Ernst Wagner. Their work appears in journals such as Cell, Polymers, Cell Host & Microbe, Nature Communications and Nature Biotechnology.

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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