Daniel C. Bowers
Impact in
Papers in
- Genetics 41
- Glioma Diagnosis and Treatment 41
- Co-authors
- Leslie L. Robison (8 shared papers)Kevin C. Oeffinger (9 shared papers)Lynn Gargan (18 shared papers)Roger J. Packer (4 shared papers)Amar Gajjar (13 shared papers)Linda R. Margraf (10 shared papers)Marilyn Stovall (3 shared papers)Arlynn F. Mulne (9 shared papers)
- Journals
- Journal of Clinical Oncology (18 papers)Pediatric Blood & Cancer (7 papers)Journal of Neuro-Oncology (6 papers)Neuro-Oncology (6 papers)Cancer (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Daniel C. Bowers
84 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 95
- Genetics 1.3k
- Neurology 670
- Pediatrics, Perinatology and Child Health 547
- Hepatology 138
- Epidemiology 443
Countries citing papers authored by Daniel C. Bowers
This map shows the geographic impact of Daniel C. Bowers'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 C. Bowers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Bowers more than expected).
Fields of papers citing papers by Daniel C. Bowers
This network shows the impact of papers produced by Daniel C. Bowers. 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 C. Bowers. The network helps show where Daniel C. Bowers may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Bowers, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 303 | |
| 2 | 2006 | 273 | |
| 3 | 2005 | 170 | |
| 4 | 2005 | 156 | |
| 5 | 2001 | 150 | |
| 6 | Scatter factor/hepatocyte growth factor protects against cytotoxic death in human glioblastoma via phosphatidylinositol 3-kinase- and AKT-dependent pathways. | 2000 | 142 |
| 7 | 2015 | 134 | |
| 8 | 2009 | 106 | |
| 9 | 2013 | 100 | |
| 10 | 2017 | 95 | |
| 11 | 2004 | 78 | |
| 12 | 2003 | 78 | |
| 13 | 2013 | 72 | |
| 14 | 2000 | 70 | |
| 15 | 2009 | 69 | |
| 16 | 2008 | 69 | |
| 17 | 2003 | 65 | |
| 18 | 2005 | 60 | |
| 19 | 2012 | 51 | |
| 20 | 2018 | 50 |
About Daniel C. Bowers
Daniel C. Bowers is a scholar working on Genetics, Molecular Biology, Neurology, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 88 papers that have together received 3.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (41 papers), Meningioma and schwannoma management (11 papers), Childhood Cancer Survivors' Quality of Life (10 papers), Neuroblastoma Research and Treatments (8 papers), Brain Metastases and Treatment (7 papers), Neurofibromatosis and Schwannoma Cases (5 papers), Acute Lymphoblastic Leukemia research (5 papers) and Vascular Malformations Diagnosis and Treatment (4 papers). The work is most often cited by research in Genetics (1.3k citations), Neurology (670 citations), Pediatrics, Perinatology and Child Health (547 citations), Hepatology (138 citations) and Epidemiology (443 citations). Daniel C. Bowers has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Leslie L. Robison, Kevin C. Oeffinger, Lynn Gargan, Roger J. Packer, Amar Gajjar, Linda R. Margraf, Marilyn Stovall, Arlynn F. Mulne, Bradley E. Weprin and James G. Gurney. Their work appears in journals such as Journal of Clinical Oncology, Pediatric Blood & Cancer, Journal of Neuro-Oncology, Neuro-Oncology and Cancer.
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.