Daniel G. Ye
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Ubiquitin and proteasome pathways 7
- ATP Synthase and ATPases Research 3
- Mitochondrial Function and Pathology 2
- Genetics 2
- Co-authors
- Joshua D. Bernstock (11 shared papers)John M. Hallenbeck (10 shared papers)Yang-ja Lee (6 shared papers)Stefano Pluchino (6 shared papers)Florian A Gessler (8 shared papers)Dragan Maric (4 shared papers)Luca Peruzzotti‐Jametti (4 shared papers)Nunzio Vicario (2 shared papers)
- Journals
- Journal of Cerebral Blood Flow & Metabolism (2 papers)Neurosurgery (1 paper)Current Issues in Molecular Biology (1 paper)The FASEB Journal (1 paper)Early Human Development (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel G. Ye
15 papers receiving 471 citations
Peers
Comparison fields: 5 of 82
- Developmental Neuroscience 58
- Neurology 48
- Genetics 47
- Physiology 93
- Cellular and Molecular Neuroscience 68
Countries citing papers authored by Daniel G. Ye
This map shows the geographic impact of Daniel G. Ye'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 G. Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Ye more than expected).
Fields of papers citing papers by Daniel G. Ye
This network shows the impact of papers produced by Daniel G. Ye. 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 G. Ye. The network helps show where Daniel G. Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel G. Ye, 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 | 2005 | 109 | |
| 2 | 2017 | 92 | |
| 3 | 2019 | 50 | |
| 4 | 2017 | 46 | |
| 5 | 2017 | 40 | |
| 6 | 2017 | 33 | |
| 7 | 2016 | 26 | |
| 8 | Vitamin C Prevents Ultraviolet-induced Pigmentation in Healthy Volunteers: Bayesian Meta-analysis Results from 31 Randomized Controlled versus Vehicle Clinical Studies. | 2019 | 26 |
| 9 | 2015 | 15 | |
| 10 | 2018 | 15 | |
| 11 | 2018 | 13 | |
| 12 | 2018 | 7 | |
| 13 | 2019 | 4 | |
| 14 | 2017 | 3 | |
| 15 | 2019 | 1 | |
| 16 | 2023 | 0 |
About Daniel G. Ye
Daniel G. Ye is a scholar working on Molecular Biology, Genetics, Neurology, General Decision Sciences and Immunology, having authored 16 papers that have together received 480 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), ATP Synthase and ATPases Research (3 papers), Peptidase Inhibition and Analysis (2 papers), interferon and immune responses (2 papers), Mitochondrial Function and Pathology (2 papers), Nanoplatforms for cancer theranostics (1 paper), Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper) and CNS Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Developmental Neuroscience (58 citations), Neurology (48 citations), Genetics (47 citations), Physiology (93 citations) and Cellular and Molecular Neuroscience (68 citations). Daniel G. Ye has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Joshua D. Bernstock, John M. Hallenbeck, Yang-ja Lee, Stefano Pluchino, Florian A Gessler, Dragan Maric, Luca Peruzzotti‐Jametti, Nunzio Vicario, Wei Yang and Gregory K. Friedman. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Neurosurgery, Current Issues in Molecular Biology, The FASEB Journal and Early Human Development.
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.