David J. Ecker
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 10
- Clinical Biochemistry top 0.2%
- Bacterial Identification and Susceptibility Testing 19
- Parasitology top 0.5%
- Vector-borne infectious diseases 16
- Endocrinology top 1%
- Molecular Biology top 1%
- RNA and protein synthesis mechanisms 21
- Ubiquitin and proteasome pathways 13
- DNA and Nucleic Acid Chemistry 11
- Advanced biosensing and bioanalysis techniques 9
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- Viral Infections and Vectors 14
- Co-authors
- Stanley T. CrookeRangarajan SampathVincent ChauBrett P. MoniaLawrence B. BlynAlexander VarshavskyAndreas BachmairJohn W. Tobias
- Journals
- Journal of Clinical Microbiology (16 papers)Journal of Biological Chemistry (14 papers)PLoS ONE (9 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
David J. Ecker
148 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Medicine 849
- Clinical Biochemistry 806
- Parasitology 628
- Endocrinology 432
- Molecular Biology 5.4k
Countries citing papers authored by David J. Ecker
This map shows the geographic impact of David J. Ecker'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 David J. Ecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Ecker more than expected).
Fields of papers citing papers by David J. Ecker
This network shows the impact of papers produced by David J. Ecker. 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 David J. Ecker. The network helps show where David J. Ecker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David J. Ecker, 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 | 2023 | 1 | |
| 2 | 2016 | 24 | |
| 3 | 2014 | 5 | |
| 4 | 2013 | 10 | |
| 5 | 2012 | 28 | |
| 6 | 2011 | 28 | |
| 7 | 2010 | 156 | |
| 8 | 2010 | 19 | |
| 9 | 2007 | 83 | |
| 10 | Investments in high-payoff technologies could reduce toll of infections | 2005 | 6 |
| 11 | 2004 | 226 | |
| 12 | 2004 | 14 | |
| 13 | 2001 | 184 | |
| 14 | 1995 | 63 | |
| 15 | 1995 | 18 | |
| 16 | 1994 | 74 | |
| 17 | 1994 | 2 | |
| 18 | 1993 | 181 | |
| 19 | 1992 | 12 | |
| 20 | 1989 | 8 |
About David J. Ecker
David J. Ecker is a scholar working on Clinical Biochemistry, Parasitology, Infectious Diseases, Molecular Medicine and Virology, having authored 148 papers that have together received 9.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (21 papers), Bacterial Identification and Susceptibility Testing (19 papers), Vector-borne infectious diseases (16 papers), Viral Infections and Vectors (14 papers), Ubiquitin and proteasome pathways (13 papers), DNA and Nucleic Acid Chemistry (11 papers), Antibiotic Resistance in Bacteria (10 papers) and Advanced biosensing and bioanalysis techniques (9 papers). The work is most often cited by research in Molecular Medicine (849 citations), Clinical Biochemistry (806 citations), Parasitology (628 citations), Endocrinology (432 citations) and Molecular Biology (5.4k citations). David J. Ecker has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Stanley T. Crooke, Rangarajan Sampath, Vincent Chau, Brett P. Monia, Lawrence B. Blyn, Alexander Varshavsky, Andreas Bachmair, John W. Tobias, David Marriott and David K. Gonda. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Biological Chemistry, PLoS ONE, Journal of Medicinal Chemistry and Nucleic Acids Research.
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.