Debra M. Eckert
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 1%
- HIV/AIDS drug development and treatment
Papers in
-
- RNA regulation and disease 5
- RNA Interference and Gene Delivery 4
- Glycosylation and Glycoproteins Research 3
- Virology 14
- HIV Research and Treatment 13
- Co-authors
- Peter S. Kim (4 shared papers)V.N. Malashkevich (2 shared papers)Peter A. Carr (1 shared paper)Lily Hong (1 shared paper)Wesley I. Sundquist (6 shared papers)Christopher P. Hill (10 shared papers)Michael S. Kay (10 shared papers)Brenda Bass (5 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Journal of Molecular Biology (3 papers)eLife (3 papers)Journal of Virology (3 papers)Retrovirology (2 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Debra M. Eckert
40 papers receiving 3.4k citations
Debra M. Eckert's Hit Papers
Peers
Comparison fields: 5 of 97
- Virology 1.4k
- Infectious Diseases 984
- Cell Biology 538
- Immunology 555
- Molecular Biology 1.8k
Countries citing papers authored by Debra M. Eckert
This map shows the geographic impact of Debra M. Eckert'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 Debra M. Eckert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra M. Eckert more than expected).
Fields of papers citing papers by Debra M. Eckert
This network shows the impact of papers produced by Debra M. Eckert. 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 Debra M. Eckert. The network helps show where Debra M. Eckert may publish in the future.
Co-authors
The 25 scholars most cited alongside Debra M. Eckert, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mechanisms of Viral Membrane Fusion and Its Inhibition Hit paper breakdown → | 2001 | 1091 |
| 2 | 1999 | 399 | |
| 3 | 2001 | 232 | |
| 4 | 2009 | 177 | |
| 5 | 2013 | 151 | |
| 6 | 2010 | 137 | |
| 7 | 2006 | 132 | |
| 8 | 2008 | 107 | |
| 9 | 2007 | 94 | |
| 10 | 1998 | 91 | |
| 11 | 2010 | 81 | |
| 12 | 2006 | 79 | |
| 13 | 2004 | 72 | |
| 14 | 2014 | 67 | |
| 15 | 2013 | 59 | |
| 16 | 2013 | 55 | |
| 17 | 2008 | 52 | |
| 18 | 2012 | 51 | |
| 19 | 2005 | 49 | |
| 20 | 2010 | 34 |
About Debra M. Eckert
Debra M. Eckert is a scholar working on Molecular Biology, Virology, Infectious Diseases, Epidemiology and Cell Biology, having authored 40 papers that have together received 3.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (13 papers), HIV/AIDS drug development and treatment (8 papers), Cellular transport and secretion (7 papers), RNA regulation and disease (5 papers), RNA Interference and Gene Delivery (4 papers), Immune Cell Function and Interaction (4 papers), Bacteriophages and microbial interactions (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Virology (1.4k citations), Infectious Diseases (984 citations), Cell Biology (538 citations), Immunology (555 citations) and Molecular Biology (1.8k citations). Debra M. Eckert has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Peter S. Kim, V.N. Malashkevich, Peter A. Carr, Lily Hong, Wesley I. Sundquist, Christopher P. Hill, Michael S. Kay, Brenda Bass, Virginie Sandrin and Heidi Schubert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology, eLife, Journal of Virology and Retrovirology.
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.