Daniel Y.L. Mao
Impact in
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- Oncology top 10%
- Cancer-related Molecular Pathways
- Peptidase Inhibition and Analysis
Papers in
-
- Ubiquitin and proteasome pathways 5
- Protein Kinase Regulation and GTPase Signaling 4
- DNA Repair Mechanisms 2
- Protein Degradation and Inhibitors 2
- Oncology 6
- Cancer-related Molecular Pathways 5
- Co-authors
- Samuel Benchimol (1 shared paper)Weili Ma (1 shared paper)Linda Z. Penn (5 shared papers)Frank Sicheri (12 shared papers)Dalia Baršytė-Lovejoy (3 shared papers)Derek F. Ceccarelli (5 shared papers)Stephen Orlicky (6 shared papers)Neroshan Thevakumaran (3 shared papers)
- Journals
- Molecular Cell (3 papers)Nucleic Acids Research (2 papers)Oncogene (2 papers)Nature Chemical Biology (2 papers)Molecular & Cellular Proteomics (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Daniel Y.L. Mao
19 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 1.1k
- Oncology 361
- Cell Biology 198
- Cancer Research 139
- Immunology 111
Countries citing papers authored by Daniel Y.L. Mao
This map shows the geographic impact of Daniel Y.L. Mao'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 Daniel Y.L. Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Y.L. Mao more than expected).
Fields of papers citing papers by Daniel Y.L. Mao
This network shows the impact of papers produced by Daniel Y.L. Mao. 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 Daniel Y.L. Mao. The network helps show where Daniel Y.L. Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Y.L. Mao, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 249 | |
| 2 | 2012 | 165 | |
| 3 | 2003 | 152 | |
| 4 | 2013 | 132 | |
| 5 | 2014 | 111 | |
| 6 | 2005 | 87 | |
| 7 | 2008 | 78 | |
| 8 | 2003 | 68 | |
| 9 | 2013 | 62 | |
| 10 | 2007 | 50 | |
| 11 | 2004 | 49 | |
| 12 | 2017 | 39 | |
| 13 | 2017 | 29 | |
| 14 | 2004 | 24 | |
| 15 | 2020 | 23 | |
| 16 | 2020 | 22 | |
| 17 | 2013 | 21 | |
| 18 | 2018 | 15 | |
| 19 | 2023 | 2 | |
| 20 | 2026 | 0 |
About Daniel Y.L. Mao
Daniel Y.L. Mao is a scholar working on Molecular Biology, Oncology, Cell Biology, Otorhinolaryngology and Materials Chemistry, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Cancer-related Molecular Pathways (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), DNA Repair Mechanisms (2 papers), Sinusitis and nasal conditions (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Oncology (361 citations), Cell Biology (198 citations), Cancer Research (139 citations) and Immunology (111 citations). Daniel Y.L. Mao has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Samuel Benchimol, Weili Ma, Linda Z. Penn, Frank Sicheri, Dalia Baršytė-Lovejoy, Derek F. Ceccarelli, Stephen Orlicky, Neroshan Thevakumaran, Daniel Durocher and Rachel K. Szilard. Their work appears in journals such as Molecular Cell, Nucleic Acids Research, Oncogene, Nature Chemical Biology and Molecular & Cellular Proteomics.
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.