Daniel C. Anacker
Impact in
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- Cervical Cancer and HPV Research
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
- Hepatitis B Virus Studies
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- Viral-associated cancers and disorders
- Cancer-related Molecular Pathways
Papers in
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- Cervical Cancer and HPV Research 5
- Cytomegalovirus and herpesvirus research 2
- Oncology 6
- Polyomavirus and related diseases 2
- Cancer-related Molecular Pathways 2
- Viral-associated cancers and disorders 2
- Co-authors
- Cary A. Moody (6 shared papers)William H. Chappell (2 shared papers)Stephen C. Becker (1 shared paper)David M. Donovan (1 shared paper)Juli Foster‐Frey (1 shared paper)Bryan A. Johnson (2 shared papers)Baek Kim (1 shared paper)Caitlin Shepard (1 shared paper)
- Journals
- Journal of Virology (4 papers)Journal of Visualized Experiments (2 papers)Virus Research (1 paper)Gene (1 paper)Virology (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel C. Anacker
9 papers receiving 452 citations
Peers
Comparison fields: 5 of 55
- Epidemiology 214
- Oncology 146
- Microbiology 28
- Ecology 95
- Molecular Biology 214
Countries citing papers authored by Daniel C. Anacker
This map shows the geographic impact of Daniel C. Anacker'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. Anacker 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. Anacker more than expected).
Fields of papers citing papers by Daniel C. Anacker
This network shows the impact of papers produced by Daniel C. Anacker. 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. Anacker. The network helps show where Daniel C. Anacker may publish in the future.
Co-authors
The 15 scholars most cited alongside Daniel C. Anacker, 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 | 2009 | 104 | |
| 2 | 2014 | 85 | |
| 3 | 2015 | 73 | |
| 4 | 2016 | 58 | |
| 5 | 2016 | 46 | |
| 6 | 2012 | 38 | |
| 7 | 2008 | 38 | |
| 8 | 2012 | 12 | |
| 9 | 2012 | 3 |
About Daniel C. Anacker
Daniel C. Anacker is a scholar working on Epidemiology, Oncology, Molecular Biology, Virology and Genetics, having authored 9 papers that have together received 457 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (5 papers), DNA Repair Mechanisms (4 papers), Polyomavirus and related diseases (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Cancer-related Molecular Pathways (2 papers), Poxvirus research and outbreaks (2 papers), Viral-associated cancers and disorders (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Epidemiology (214 citations), Oncology (146 citations), Microbiology (28 citations), Ecology (95 citations) and Molecular Biology (214 citations). Daniel C. Anacker has collaborated with scholars based in United States. Frequent co-authors include Cary A. Moody, William H. Chappell, Stephen C. Becker, David M. Donovan, Juli Foster‐Frey, Bryan A. Johnson, Baek Kim, Caitlin Shepard, Gina M. Lenzi and Prashant Desai. Their work appears in journals such as Journal of Virology, Journal of Visualized Experiments, Virus Research, Gene and Virology.
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.