Daniel J. Quest
Impact in
- Health Informatics top 10%
-
- Bacterial Identification and Susceptibility Testing
Papers in
-
- Genomics and Phylogenetic Studies 7
- Genomics and Chromatin Dynamics 3
- Machine Learning in Bioinformatics 2
- RNA and protein synthesis mechanisms 2
- Biomedical Text Mining and Ontologies 1
- RNA modifications and cancer 1
-
- Nursing Diagnosis and Documentation 1
- Co-authors
- Asif Hossain (2 shared papers)Steven N. Hart (2 shared papers)Robert W. Cottingham (3 shared papers)Thomas Scott Brettin (3 shared papers)Miriam Land (2 shared papers)Alex C. Copeland (1 shared paper)Tanja Woyke (1 shared paper)Nikos C. Kyrpides (1 shared paper)
- Journals
- BMC Bioinformatics (4 papers)PLoS ONE (1 paper)Briefings in Bioinformatics (1 paper)Journal of Clinical Microbiology (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Daniel J. Quest
19 papers receiving 386 citations
Peers
Comparison fields: 5 of 78
- Health Informatics 15
- Clinical Biochemistry 33
- Microbiology 23
- Molecular Biology 198
- Infectious Diseases 42
Countries citing papers authored by Daniel J. Quest
This map shows the geographic impact of Daniel J. Quest'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 J. Quest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Quest more than expected).
Fields of papers citing papers by Daniel J. Quest
This network shows the impact of papers produced by Daniel J. Quest. 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 J. Quest. The network helps show where Daniel J. Quest may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Quest, 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 | 2012 | 123 | |
| 2 | 2014 | 61 | |
| 3 | 2017 | 56 | |
| 4 | 2015 | 42 | |
| 5 | 2021 | 33 | |
| 6 | 2014 | 23 | |
| 7 | 2008 | 9 | |
| 8 | 2010 | 8 | |
| 9 | 2018 | 8 | |
| 10 | 2005 | 6 | |
| 11 | 2022 | 5 | |
| 12 | Improving Patient Selection and Prioritization for Hospital at Home Through Predictive Modeling. | 2022 | 5 |
| 13 | 2011 | 3 | |
| 14 | 2008 | 3 | |
| 15 | 2004 | 3 | |
| 16 | 2004 | 3 | |
| 17 | 2010 | 2 | |
| 18 | 2015 | 2 | |
| 19 | 2007 | 1 |
About Daniel J. Quest
Daniel J. Quest is a scholar working on Molecular Biology, Issues, ethics and legal aspects, Geriatrics and Gerontology, Health Information Management and Molecular Medicine, having authored 19 papers that have together received 396 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Genomics and Chromatin Dynamics (3 papers), Machine Learning in Bioinformatics (2 papers), RNA and protein synthesis mechanisms (2 papers), Nursing Diagnosis and Documentation (1 paper), Biomedical Text Mining and Ontologies (1 paper), RNA modifications and cancer (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Health Informatics (15 citations), Clinical Biochemistry (33 citations), Microbiology (23 citations), Molecular Biology (198 citations) and Infectious Diseases (42 citations). Daniel J. Quest has collaborated with scholars based in United States and Germany. Frequent co-authors include Asif Hossain, Steven N. Hart, Robert W. Cottingham, Thomas Scott Brettin, Miriam Land, Alex C. Copeland, Tanja Woyke, Nikos C. Kyrpides, Konstantinos Mavromatis and Alicia Clum. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, Briefings in Bioinformatics, Journal of Clinical Microbiology and Bioinformatics.
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.