Vered Morad
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
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- Immune Response and Inflammation
- Immune cells in cancer
Papers in
-
- Advanced biosensing and bioanalysis techniques 2
- Pluripotent Stem Cells Research 1
- TGF-β signaling in diseases 1
- RNA Interference and Gene Delivery 1
- Genetics 3
- Mesenchymal stem cell research 3
- Co-authors
- Dov Zipori (3 shared papers)Liat Rousso-Noori (3 shared papers)Meirav Pevsner‐Fischer (2 shared papers)Alexandra Zanin‐Zhorov (1 shared paper)Michal Cohen-Sfady (1 shared paper)Shmuel Jaffe Cohen (1 shared paper)Irun R. Cohen (1 shared paper)Hagit Ben‐Meir (1 shared paper)
- Journals
- Cancer Letters (1 paper)Stem Cells (1 paper)Stem Cells and Development (1 paper)Blood (1 paper)Developmental Dynamics (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Vered Morad
7 papers receiving 603 citations
Peers
Comparison fields: 5 of 72
- Genetics 262
- Immunology 149
- Developmental Neuroscience 16
- Hematology 38
- Cancer Research 49
Countries citing papers authored by Vered Morad
This map shows the geographic impact of Vered Morad'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 Vered Morad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vered Morad more than expected).
Fields of papers citing papers by Vered Morad
This network shows the impact of papers produced by Vered Morad. 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 Vered Morad. The network helps show where Vered Morad may publish in the future.
Co-authors
The 25 scholars most cited alongside Vered Morad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 420 | |
| 2 | 2004 | 74 | |
| 3 | 2012 | 61 | |
| 4 | 2009 | 39 | |
| 5 | 2008 | 16 | |
| 6 | [ESTABLISHING A REGISTRY FOR INFLAMMATORY BOWEL DISEASE PATIENTS IN MACCABI HEALTHCARE SERVICES - JOINT PROJECT BETWEEN HOSPITALS, EPI-IIRN GROUP AND COMMUNITY MEDICINE]. | 2018 | 7 |
| 7 | 2008 | 3 |
About Vered Morad
Vered Morad is a scholar working on Molecular Biology, Genetics, Oncology, Pulmonary and Respiratory Medicine and Hematology, having authored 7 papers that have together received 620 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Pluripotent Stem Cells Research (1 paper), Chromosomal and Genetic Variations (1 paper), Peptidase Inhibition and Analysis (1 paper), TGF-β signaling in diseases (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Genetics (262 citations), Immunology (149 citations), Developmental Neuroscience (16 citations), Hematology (38 citations) and Cancer Research (49 citations). Vered Morad has collaborated with scholars based in Israel and United States. Frequent co-authors include Dov Zipori, Liat Rousso-Noori, Meirav Pevsner‐Fischer, Alexandra Zanin‐Zhorov, Michal Cohen-Sfady, Shmuel Jaffe Cohen, Irun R. Cohen, Hagit Ben‐Meir, Tzvi Tzfira and Yigal Avivi. Their work appears in journals such as Cancer Letters, Stem Cells, Stem Cells and Development, Blood and Developmental Dynamics.
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.