Rameeza Allie

913 citations
11 papers · 725 · h-index 9

Impact in

    • Ion Channels and Receptors
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 3
    • Chemokine receptors and signaling 3

Rameeza Allie

11 papers receiving 710 citations

Peers

Rameeza Allie
Comparison fields: 5 of 73
  • Sensory Systems 85
  • Immunology 263
  • Neurology 79
  • Developmental Neuroscience 26
  • Molecular Biology 414
Replace Andrea E. Edling with:
Andrea E. Edling United States
Laurence Delacroix Belgium
Yixin Jin Norway
Kristín Bergsteinsdóttir Iceland
Akira Tokuda Japan
Jinghan Wang China
Aparna Shetty United States
Sharon F. Suchy United States
Mei Xu China
Allison Stewart United Kingdom
Rameeza Allie relative to Andrea E. Edling United States Andrea E. Edling's profile →
Citations per field
00.5×2.6×
Andrea E. Edling · 1×
Citations per year

Countries citing papers authored by Rameeza Allie

Since Specialization
Citations

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

Fields of papers citing papers by Rameeza Allie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2003359
2 2005151
3 201160
4 201041
5 200228
6 201227
7 200524
8 200322
9 200310
10 20032
11 20061

About Rameeza Allie

Rameeza Allie is a scholar working on Immunology, Oncology, Molecular Biology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 725 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (5 papers), Ion channel regulation and function (3 papers), Immune Cell Function and Interaction (3 papers), Chemokine receptors and signaling (3 papers), Multiple Sclerosis Research Studies (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Sensory Systems (85 citations), Immunology (263 citations), Neurology (79 citations), Developmental Neuroscience (26 citations) and Molecular Biology (414 citations). Rameeza Allie has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Peter A. Calabresi, Christine Beeton, Heike Wulff, K. George Chandy, Michael W. Pennington, Lina Hu, Carlos A. Pardo, Katherine M. Mullen, Cornelia Cudrici and Douglas A. Kerr. Their work appears in journals such as Journal of Clinical Investigation, Journal of Neuroimmunology, Clinical Immunology, Journal of Neuroscience and Proceedings of the National Academy of 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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