Mor Zada

1.8k citations
10 papers · 629 · h-index 6

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Biophysics top 10%

Papers in

    • Single-cell and spatial transcriptomics 1
    • Advanced biosensing and bioanalysis techniques 1
    • Amyloidosis: Diagnosis, Treatment, Outcomes 1
    • Multiple Myeloma Research and Treatments 3

Mor Zada

10 papers receiving 626 citations

Peers

Mor Zada
Comparison fields: 5 of 73
  • Immunology 318
  • Biophysics 35
  • Oncology 150
  • Neurology 45
  • Molecular Biology 303
Replace Congxue Hu with:
Congxue Hu China
Marie Laviron France
Christina Alter Germany
Tatsiana Aneichyk Austria
Ying Jiang China
Jay A. Bowman-Kirigin United States
Jude Al-Sabah Germany
Petr Tauš Czechia
Yunuo Mao China
Juliane Medler Germany
Mor Zada relative to Congxue Hu China Congxue Hu's profile →
Citations per field
00.5×10×15×20×23.6×
Congxue Hu · 1×
Citations per year

Countries citing papers authored by Mor Zada

Since Specialization
Citations

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

Fields of papers citing papers by Mor Zada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2018275
2 2020176
3 2022117
4 202023
5 202319
6 20218
7 20195
8 20184
9 20171
10 20181

About Mor Zada

Mor Zada is a scholar working on Molecular Biology, Hematology, Immunology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 629 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (3 papers), CAR-T cell therapy research (2 papers), Single-cell and spatial transcriptomics (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Immunology (318 citations), Biophysics (35 citations), Oncology (150 citations), Neurology (45 citations) and Molecular Biology (303 citations). Mor Zada has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Ido Amit, Amir Giladi, Eyal David, Merav Cohen, Tomer‐Meir Salame, Baoguo Li, Anna-Dorothea Gorki, Tibor Harkany, Keren Bahar Halpern and Shalev Itzkovitz. Their work appears in journals such as Blood, Acta Haematologica, Journal of Clinical Oncology, European Journal Of Haematology and Life Science Alliance.

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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