Daniel Quest

544 total citations
19 papers, 336 citations indexed

About

Daniel Quest is a scholar working on Molecular Biology, General Health Professions and Epidemiology. According to data from OpenAlex, Daniel Quest has authored 19 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 2 papers in General Health Professions and 2 papers in Epidemiology. Recurrent topics in Daniel Quest's work include Genomics and Phylogenetic Studies (13 papers), RNA and protein synthesis mechanisms (4 papers) and Machine Learning in Bioinformatics (3 papers). Daniel Quest is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), RNA and protein synthesis mechanisms (4 papers) and Machine Learning in Bioinformatics (3 papers). Daniel Quest collaborates with scholars based in United States and Germany. Daniel Quest's co-authors include Asif Hossain, Steven N. Hart, Miriam Land, Robert W. Cottingham, Thomas Brettin, Lynne Goodwin, Alex Copeland, Alicia Clum, Nikos C. Kyrpides and Konstantinos Mavromatis and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

Daniel Quest

19 papers receiving 329 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Quest United States	7	200	50	46	41	36	19	336
Joshua L. C. Wong United Kingdom	10	189 0.9×	70 1.4×	82 1.8×	32 0.8×	45 1.3×	17	397
Magali Jaillard France	10	292 1.5×	22 0.4×	57 1.2×	59 1.4×	59 1.6×	14	456
Robb Rowley United States	8	172 0.9×	54 1.1×	107 2.3×	43 1.0×	51 1.4×	19	380
Farida Hilali Morocco	8	129 0.6×	35 0.7×	127 2.8×	44 1.1×	63 1.8×	15	316
Ming‐Yi Wang China	14	184 0.9×	25 0.5×	37 0.8×	13 0.3×	47 1.3×	50	533
Jin‐Town Wang Taiwan	9	163 0.8×	82 1.6×	41 0.9×	67 1.6×	86 2.4×	9	419
Joseph Perez-Rogers United States	4	166 0.8×	52 1.0×	8 0.2×	27 0.7×	29 0.8×	4	266
Sarah L. Grady United States	5	163 0.8×	19 0.4×	68 1.5×	64 1.6×	179 5.0×	8	410
Dmitriy Korostin Russia	6	96 0.5×	24 0.5×	54 1.2×	48 1.2×	32 0.9×	43	259
Linlin Li China	8	135 0.7×	54 1.1×	50 1.1×	109 2.7×	56 1.6×	15	370

Countries citing papers authored by Daniel Quest

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Quest

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Quest. A scholar is included among the top collaborators of Daniel Quest based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Quest. Daniel Quest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Ávila, Francisco R., Daniel Boczar, Aaron Spaulding, et al.. (2022). High Satisfaction With a Virtual Assistant for Plastic Surgery Frequently Asked Questions. Aesthetic Surgery Journal. 43(4). 494–503. 4 indexed citations

Felix, Heidi, Margaret R. Paulson, Rajeev Chaudhry, et al.. (2022). Improving Patient Selection and Prioritization for Hospital at Home Through Predictive Modeling.. PubMed. 2022. 856–865. 4 indexed citations

Murphree, Dennis H., Patrick M. Wilson, Shusaku Asai, et al.. (2021). Improving the delivery of palliative care through predictive modeling and healthcare informatics. Journal of the American Medical Informatics Association. 28(6). 1065–1073. 31 indexed citations

Murphree, Dennis H., et al.. (2018). Deploying Predictive Models In A Healthcare Environment - An Open Source Approach. PubMed. 2018. 6112–6116. 4 indexed citations

Cunningham, Scott A., Nicholas Chia, Patricio Jeraldo, et al.. (2017). Comparison of Whole-Genome Sequencing Methods for Analysis of Three Methicillin-Resistant Staphylococcus aureus Outbreaks. Journal of Clinical Microbiology. 55(6). 1946–1953. 52 indexed citations

Hart, Steven N., et al.. (2015). VCF-Miner: GUI-based application for mining variants and annotations stored in VCF files. Briefings in Bioinformatics. 17(2). 346–351. 36 indexed citations

Jeraldo, Patricio, Scott A. Cunningham, Daniel Quest, et al.. (2015). Draft Genome Sequences of Nine Pseudomonas aeruginosa Strains, Including Eight Clinical Isolates. Genome Announcements. 3(5). 2 indexed citations

Cunningham, Scott A., Nicholas Chia, Patricio Jeraldo, et al.. (2014). Pertussis Outbreak, Southeastern Minnesota, 2012. Mayo Clinic Proceedings. 89(10). 1378–1388. 20 indexed citations

Kocher, Jean-Pierre A., Daniel Quest, Patrick E. Duffy, et al.. (2014). The Biological Reference Repository (BioR): a rapid and flexible system for genomics annotation. Bioinformatics. 30(13). 1920–1922. 50 indexed citations

10.

Mavromatis, Konstantinos, Miriam Land, Thomas Brettin, et al.. (2012). The Fast Changing Landscape of Sequencing Technologies and Their Impact on Microbial Genome Assemblies and Annotation. PLoS ONE. 7(12). e48837–e48837. 100 indexed citations

11.

Quest, Daniel, et al.. (2011). Scenario driven data modelling: a method for integrating diverse sources of data and data streams. BMC Bioinformatics. 12(S10). S17–S17. 3 indexed citations

12.

Quest, Daniel & Hesham Ali. (2010). The Motif Tool Assessment Platform (MTAP) for Sequence-Based Transcription Factor Binding Site Prediction Tools. Methods in molecular biology. 674. 121–141. 2 indexed citations

13.

Quest, Daniel, Miriam Land, Thomas Brettin, & Robert W. Cottingham. (2010). Next generation models for storage and representation of microbial biological annotation. BMC Bioinformatics. 11(S6). S15–S15. 9 indexed citations

14.

Quest, Daniel, et al.. (2008). MTAP: The Motif Tool Assessment Platform. BMC Bioinformatics. 9(S9). S6–S6. 6 indexed citations

15.

Quest, Daniel, et al.. (2008). A parallel architecture for regulatory motif algorithm assessment. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 1. 1–8. 1 indexed citations

16.

Quest, Daniel, William Tapprich, & Hesham Ali. (2007). A GRAMMAR BASED METHODOLOGY FOR STRUCTURAL MOTIF FINDING IN ncRNA DATABASE SEARCH. PubMed. 6. 215–225. 1 indexed citations

17.

Churbanov, Alexander, Mark Pauley, Daniel Quest, & Hesham Ali. (2005). A method of precise mRNA/DNA homology-based gene structure prediction. BMC Bioinformatics. 6(1). 261–261. 6 indexed citations

18.

Quest, Daniel & Hesham Ali. (2004). Ontology specific data mining based on dynamic grammars. 495–496. 2 indexed citations

19.

Quest, Daniel, et al.. (2004). A new approach for gene annotation using unambiguous sequence joining. PubMed. 11. 353–362. 3 indexed citations

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.

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