Didi Matza

846 citations
12 papers · 679 indexed · h-index 12

Impact in

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

Papers in

Didi Matza

12 papers receiving 668 citations

Peers

Didi Matza
Comparison fields: 5 of 83
  • Sensory Systems 118
  • Immunology 348
  • Physiology 74
  • Cellular and Molecular Neuroscience 144
  • Biological Psychiatry 16
Replace E. V. Davies with:
E. V. Davies United Kingdom
Sébastien Plançon Luxembourg
Yongkai Tang China
Jane Lattin Australia
Matthew Arterburn United States
Lalida Sirianant Germany
Beate Wilhelm Germany
Susan A. Leonhardt United States
Elöd Körtvely Germany
María V. Espelt Argentina
Didi Matza relative to E. V. Davies United Kingdom E. V. Davies's profile →
Citations per field
00.5×10×13×
E. V. Davies · 1×
Citations per year

Countries citing papers authored by Didi Matza

Since Specialization
Citations

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

Fields of papers citing papers by Didi Matza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 201613
2 201358
3 201227
4 200937
5 200945
6 200893
7 200690
8 200368
9 200264
10 200262
11 200195
12 200027

About Didi Matza

Didi Matza is a scholar working on Sensory Systems, Physiology, Immunology, Cancer Research and Complementary and alternative medicine, having authored 12 papers that have together received 679 indexed citations. Recurring topics across this work include Ion channel regulation and function (5 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Ion Channels and Receptors (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Immune Response and Inflammation (2 papers), Calcium signaling and nucleotide metabolism (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Sensory Systems (118 citations), Immunology (348 citations), Physiology (74 citations), Cellular and Molecular Neuroscience (144 citations) and Biological Psychiatry (16 citations). Didi Matza has collaborated with scholars based in United States, Israel and Morocco. Frequent co-authors include Richard A. Flavell, Idit Shachar, Abdallah Badou, Mithilesh Kumar Jha, Orit Wolstein, Rivka Dikstein, Frida Lantner, Koichi S. Kobayashi, Vincent T. Marchesi and Marc Freichel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Immunity, Toxicologic Pathology, Journal of Biological Chemistry and Frontiers in Immunology.

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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