Maya Dajee
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Cytokine Signaling Pathways and Interactions
- Cancer-related Molecular Pathways
Papers in
-
- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 3
- Protein Kinase Regulation and GTPase Signaling 3
- Melanoma and MAPK Pathways 3
- Oncology 7
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Paul A. Khavari (5 shared papers)Ti Cai (4 shared papers)Yoshiaki Kubo (3 shared papers)Cheryl L. Green (3 shared papers)Mirella Lazarov (3 shared papers)Qun Lin (2 shared papers)Shiying Tao (2 shared papers)Masahito Tarutani (3 shared papers)
- Journals
- Blood (3 papers)Molecular Endocrinology (3 papers)Cancer Research (2 papers)Circulation Journal (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Maya Dajee
23 papers receiving 2.0k citations
Maya Dajee's Hit Papers
Peers
Comparison fields: 5 of 92
- Hematology 293
- Oncology 611
- Cancer Research 334
- Immunology 412
- Immunology and Allergy 100
Countries citing papers authored by Maya Dajee
This map shows the geographic impact of Maya Dajee'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 Dajee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Dajee more than expected).
Fields of papers citing papers by Maya Dajee
This network shows the impact of papers produced by Maya Dajee. 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 Dajee. The network helps show where Maya Dajee may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Dajee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Antitumor Activity of PR-171, a Novel Irreversible Inhibitor of the Proteasome Hit paper breakdown → | 2007 | 567 |
| 2 | 2003 | 466 | |
| 3 | 2010 | 209 | |
| 4 | 1998 | 208 | |
| 5 | 2002 | 168 | |
| 6 | 2002 | 85 | |
| 7 | Inducible activation of Ras and Raf in adult epidermis. | 2003 | 73 |
| 8 | 1996 | 58 | |
| 9 | 2006 | 46 | |
| 10 | 2006 | 46 | |
| 11 | 1996 | 44 | |
| 12 | 2004 | 37 | |
| 13 | 1998 | 30 | |
| 14 | 2017 | 18 | |
| 15 | 1996 | 17 | |
| 16 | 2016 | 13 | |
| 17 | 2008 | 11 | |
| 18 | 2008 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2003 | 4 |
About Maya Dajee
Maya Dajee is a scholar working on Molecular Biology, Oncology, Hematology, Immunology and Cancer Research, having authored 25 papers that have together received 2.1k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (4 papers), Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), NF-κB Signaling Pathways (3 papers), Melanoma and MAPK Pathways (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Hematology (293 citations), Oncology (611 citations), Cancer Research (334 citations), Immunology (412 citations) and Immunology and Allergy (100 citations). Maya Dajee has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Paul A. Khavari, Ti Cai, Yoshiaki Kubo, Cheryl L. Green, Mirella Lazarov, Qun Lin, Shiying Tao, Masahito Tarutani, Darryl L. Russell and Jennifer Zhang. Their work appears in journals such as Blood, Molecular Endocrinology, Cancer Research, Circulation Journal and The Journal of 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.