Maya Zigler
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 6
- Immunology top 10%
- Immunotherapy and Immune Responses 8
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms 5
- Oncology top 10%
- HER2/EGFR in Cancer Research 3
- CAR-T cell therapy research 2
- Hematology top 10%
- Blood Coagulation and Thrombosis Mechanisms 5
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- RNA Interference and Gene Delivery 4
- Connexins and lens biology 2
- Co-authors
- Menashe Bar‐EliGabriel J. VillaresAndrey S. DobroffVladislava O. MelnikovaRussell R. BraeuerTakafumi KamiyaHua WangHuang Li
- Journals
- Cancer Research (7 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesIsraelAustralia
In The Last Decade
Maya Zigler
23 papers receiving 946 citations
Peers
Comparison fields: 5 of 77
- Immunology and Allergy 109
- Immunology 273
- Cancer Research 184
- Oncology 300
- Hematology 122
Countries citing papers authored by Maya Zigler
This map shows the geographic impact of Maya Zigler'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 Maya Zigler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Zigler more than expected).
Fields of papers citing papers by Maya Zigler
This network shows the impact of papers produced by Maya Zigler. 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 Maya Zigler. The network helps show where Maya Zigler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maya Zigler, 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 | 2017 | 3 | |
| 2 | 2017 | 10 | |
| 3 | 2016 | 7 | |
| 4 | 2016 | 8 | |
| 5 | 2014 | 11 | |
| 6 | 2013 | 25 | |
| 7 | 2012 | 81 | |
| 8 | 2012 | 1 | |
| 9 | 2011 | 36 | |
| 10 | 2011 | 41 | |
| 11 | 2011 | 30 | |
| 12 | 2011 | 70 | |
| 13 | 2010 | 68 | |
| 14 | 2010 | 51 | |
| 15 | 2009 | 46 | |
| 16 | 2009 | 74 | |
| 17 | 2009 | 64 | |
| 18 | 2008 | 59 | |
| 19 | 2008 | 50 | |
| 20 | 2008 | 34 |
About Maya Zigler
Maya Zigler is a scholar working on Immunology and Allergy, Immunology, Hematology, Cancer Research and Oncology, having authored 23 papers that have together received 961 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), Cell Adhesion Molecules Research (6 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Protease and Inhibitor Mechanisms (5 papers), RNA Interference and Gene Delivery (4 papers), HER2/EGFR in Cancer Research (3 papers), CAR-T cell therapy research (2 papers) and Connexins and lens biology (2 papers). The work is most often cited by research in Immunology and Allergy (109 citations), Immunology (273 citations), Cancer Research (184 citations), Oncology (300 citations) and Hematology (122 citations). Maya Zigler has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Menashe Bar‐Eli, Gabriel J. Villares, Andrey S. Dobroff, Vladislava O. Melnikova, Russell R. Braeuer, Takafumi Kamiya, Hua Wang, Hua Wang, Huang Li and Ran Friedman. Their work appears in journals such as Cancer Research, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, PLoS ONE and Melanoma 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.