Moria Levy

682 citations
8 papers · 416 · h-index 5

Impact in

Papers in

    • CAR-T cell therapy research 3
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2

Moria Levy

8 papers receiving 374 citations

Peers

Moria Levy
Comparison fields: 5 of 70
  • Communication 239
  • Information Systems and Management 99
  • Computer Science Applications 64
  • Strategy and Management 87
  • Management of Technology and Innovation 25
Replace Mohammad Mosakhani with:
Mohammad Mosakhani Iran
Vilma Vuori Finland
Dale Ganley Canada
Alina Dulipovici Canada
Yuan Long United States
Jung‐Chieh Lee China
David Croasdell United States
Janet Toland New Zealand
Celia T. Romm Australia
Roger Fullwood United Kingdom
Moria Levy relative to Mohammad Mosakhani Iran Mohammad Mosakhani's profile →
Citations per field
00.5×2.9×
Mohammad Mosakhani · 1×
Citations per year

Countries citing papers authored by Moria Levy

Since Specialization
Citations

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

Fields of papers citing papers by Moria Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Moria Levy, 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 Moria Levy Line = papers co-authored together Moria Levy links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2009246
2 201196
3 202135
4 201327
5 20247
6 20223
7
A Holistic Approach to Lessons Learned: How Organizations Can Benefit from Their Own Knowledge
20171
8 20171

About Moria Levy

Moria Levy is a scholar working on Oncology, Immunology, Communication, Molecular Biology and Strategy and Management, having authored 8 papers that have together received 416 indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (3 papers), Knowledge Management and Sharing (2 papers), T-cell and B-cell Immunology (2 papers), Organizational Learning and Leadership (1 paper), Web and Library Services (1 paper), Innovation and Knowledge Management (1 paper) and Digital Marketing and Social Media (1 paper). The work is most often cited by research in Communication (239 citations), Information Systems and Management (99 citations), Computer Science Applications (64 citations), Strategy and Management (87 citations) and Management of Technology and Innovation (25 citations). Moria Levy has collaborated with scholars based in Israel. Frequent co-authors include Mira Barda‐Saad, Jennifer I. C. Benichou, Aviad Ben‐Shmuel, Noah Joseph, Tirza Doniger, Orly Yaron and Sarit Karako‐Lampert. Their work appears in journals such as Journal of Knowledge Management, The EMBO Journal, Cancers, EMBO Molecular Medicine and CERN Document Server (European Organization for Nuclear Research).

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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