Daniel A. Engel
Impact in
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- RNA Interference and Gene Delivery 5
- Epidemiology 11
- Influenza Virus Research Studies 6
- Co-authors
- Daniel J. Murphy (2 shared papers)Stephen Hardy (1 shared paper)Dipanwita Basu (5 shared papers)Núria Morral (2 shared papers)Jeffrey S. Johnson (3 shared papers)Marcin P. Walkiewicz (3 shared papers)Yuming Xue (2 shared papers)Ralph S. Baric (2 shared papers)
- Journals
- Journal of Virology (5 papers)Virology (5 papers)Acta Crystallographica Section D Structural Biology (3 papers)Advanced Materials Interfaces (2 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Daniel A. Engel
35 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 79
- Infectious Diseases 191
- Genetics 292
- Immunology 206
- Molecular Biology 648
- Epidemiology 209
Countries citing papers authored by Daniel A. Engel
This map shows the geographic impact of Daniel A. Engel'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 A. Engel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Engel more than expected).
Fields of papers citing papers by Daniel A. Engel
This network shows the impact of papers produced by Daniel A. Engel. 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 A. Engel. The network helps show where Daniel A. Engel may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel A. Engel, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 118 | |
| 2 | 2008 | 81 | |
| 3 | 2012 | 61 | |
| 4 | 2013 | 60 | |
| 5 | 1983 | 55 | |
| 6 | 2004 | 54 | |
| 7 | 2005 | 54 | |
| 8 | 2013 | 54 | |
| 9 | 2010 | 53 | |
| 10 | 2007 | 48 | |
| 11 | 1985 | 41 | |
| 12 | 2011 | 38 | |
| 13 | 2011 | 36 | |
| 14 | 2014 | 35 | |
| 15 | 2020 | 33 | |
| 16 | 1996 | 29 | |
| 17 | 2002 | 28 | |
| 18 | 1984 | 25 | |
| 19 | 1988 | 24 | |
| 20 | 2009 | 19 |
About Daniel A. Engel
Daniel A. Engel is a scholar working on Molecular Biology, Epidemiology, Genetics, Immunology and Infectious Diseases, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include interferon and immune responses (9 papers), Virus-based gene therapy research (9 papers), Influenza Virus Research Studies (6 papers), RNA Interference and Gene Delivery (5 papers), Viral Infections and Outbreaks Research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Animal Virus Infections Studies (3 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Infectious Diseases (191 citations), Genetics (292 citations), Immunology (206 citations), Molecular Biology (648 citations) and Epidemiology (209 citations). Daniel A. Engel has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Daniel J. Murphy, Stephen Hardy, Dipanwita Basu, Núria Morral, Jeffrey S. Johnson, Marcin P. Walkiewicz, Yuming Xue, Ralph S. Baric, Matthew B. Frieman and Jiangning Chen. Their work appears in journals such as Journal of Virology, Virology, Acta Crystallographica Section D Structural Biology, Advanced Materials Interfaces and Molecular and Cellular Biology.
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.