Daniel J. Silver
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 2%
- Glioma Diagnosis and Treatment
Papers in
-
- Epigenetics and DNA Methylation 5
- Genetics 14
- Glioma Diagnosis and Treatment 14
- Co-authors
- Jerry Silver (5 shared papers)Justin D. Lathia (32 shared papers)Kevin P. Horn (2 shared papers)Sarah A. Busch (2 shared papers)Dennis A. Steindler (6 shared papers)Florian A. Siebzehnrübl (7 shared papers)Loic P. Deleyrolle (4 shared papers)Brent A. Reynolds (3 shared papers)
- Journals
- Neuro-Oncology (10 papers)Cell Reports (4 papers)Cancer Research (3 papers)Journal of Neuroscience (3 papers)American Scientist (2 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Daniel J. Silver
51 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 110
- Developmental Neuroscience 206
- Genetics 368
- Cancer Research 388
- Cellular and Molecular Neuroscience 354
- Oncology 379
Countries citing papers authored by Daniel J. Silver
This map shows the geographic impact of Daniel J. Silver'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 J. Silver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Silver more than expected).
Fields of papers citing papers by Daniel J. Silver
This network shows the impact of papers produced by Daniel J. Silver. 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 J. Silver. The network helps show where Daniel J. Silver may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Silver, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 314 | |
| 2 | 2009 | 195 | |
| 3 | 2005 | 175 | |
| 4 | 2017 | 147 | |
| 5 | 2013 | 104 | |
| 6 | 2015 | 85 | |
| 7 | 2014 | 70 | |
| 8 | 2019 | 59 | |
| 9 | 2016 | 57 | |
| 10 | 2020 | 56 | |
| 11 | 2020 | 51 | |
| 12 | 2014 | 48 | |
| 13 | 2009 | 42 | |
| 14 | 2021 | 41 | |
| 15 | 2019 | 32 | |
| 16 | 2015 | 32 | |
| 17 | 2020 | 31 | |
| 18 | 2020 | 29 | |
| 19 | 2020 | 22 | |
| 20 | 2024 | 22 |
About Daniel J. Silver
Daniel J. Silver is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Cancer Research, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (14 papers), Cancer Cells and Metastasis (7 papers), Immune cells in cancer (5 papers), Epigenetics and DNA Methylation (5 papers), Nerve injury and regeneration (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Quantum Information and Cryptography (3 papers). The work is most often cited by research in Developmental Neuroscience (206 citations), Genetics (368 citations), Cancer Research (388 citations), Cellular and Molecular Neuroscience (354 citations) and Oncology (379 citations). Daniel J. Silver has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Jerry Silver, Justin D. Lathia, Kevin P. Horn, Sarah A. Busch, Dennis A. Steindler, Florian A. Siebzehnrübl, Loic P. Deleyrolle, Brent A. Reynolds, Michael A. Vogelbaum and Anthony T. Yachnis. Their work appears in journals such as Neuro-Oncology, Cell Reports, Cancer Research, Journal of Neuroscience and American Scientist.
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.