Daniel 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
- Co-authors
- Steven N. Hart (2 shared papers)Asif Hossain (2 shared papers)Thomas Brettin (3 shared papers)Robert W. Cottingham (3 shared papers)Miriam Land (2 shared papers)Alex Copeland (1 shared paper)Hans Peter Klenk (1 shared paper)Alicia Clum (1 shared paper)
- Journals
- BMC Bioinformatics (4 papers)Journal of the American Medical Informatics Association (1 paper)Bioinformatics (1 paper)Journal of Clinical Microbiology (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Daniel Quest
19 papers receiving 347 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 15
- Clinical Biochemistry 28
- Microbiology 22
- Molecular Biology 176
- Infectious Diseases 42
Countries citing papers authored by Daniel Quest
This map shows the geographic impact of Daniel 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 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 Quest more than expected).
Fields of papers citing papers by Daniel Quest
This network shows the impact of papers produced by Daniel 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 Quest. The network helps show where Daniel Quest may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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 | 102 | |
| 2 | 2017 | 54 | |
| 3 | 2014 | 53 | |
| 4 | 2015 | 40 | |
| 5 | 2021 | 30 | |
| 6 | 2014 | 22 | |
| 7 | 2008 | 9 | |
| 8 | 2010 | 9 | |
| 9 | 2018 | 7 | |
| 10 | 2005 | 6 | |
| 11 | 2022 | 5 | |
| 12 | Improving Patient Selection and Prioritization for Hospital at Home Through Predictive Modeling. | 2022 | 4 |
| 13 | 2011 | 3 | |
| 14 | 2004 | 3 | |
| 15 | 2004 | 3 | |
| 16 | 2015 | 2 | |
| 17 | 2010 | 2 | |
| 18 | 2007 | 1 | |
| 19 | 2008 | 1 |
About Daniel Quest
Daniel Quest is a scholar working on Molecular Biology, Artificial Intelligence, Infectious Diseases, General Health Professions and Health Information Management, having authored 19 papers that have together received 356 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), Genomics and Rare Diseases (1 paper), Artificial Intelligence in Healthcare (1 paper), Cancer Genomics and Diagnostics (1 paper) and Patient Satisfaction in Healthcare (1 paper). The work is most often cited by research in Health Informatics (15 citations), Clinical Biochemistry (28 citations), Microbiology (22 citations), Molecular Biology (176 citations) and Infectious Diseases (42 citations). Daniel Quest has collaborated with scholars based in United States and Germany. Frequent co-authors include Steven N. Hart, Asif Hossain, Thomas Brettin, Robert W. Cottingham, Miriam Land, Alex Copeland, Hans Peter Klenk, Alicia Clum, Tanja Woyke and Lynne Goodwin. Their work appears in journals such as BMC Bioinformatics, Journal of the American Medical Informatics Association, Bioinformatics, Journal of Clinical Microbiology and Briefings in 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.