Daniel R. Hyduke

7.3k total citations · 2 hit papers
35 papers, 4.7k citations indexed

About

Daniel R. Hyduke is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Daniel R. Hyduke has authored 35 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Physiology. Recurrent topics in Daniel R. Hyduke's work include Bioinformatics and Genomic Networks (12 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and Gene expression and cancer classification (8 papers). Daniel R. Hyduke is often cited by papers focused on Bioinformatics and Genomic Networks (12 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and Gene expression and cancer classification (8 papers). Daniel R. Hyduke collaborates with scholars based in United States, Canada and Germany. Daniel R. Hyduke's co-authors include Bernhard Ø. Palsson, Joshua A. Lerman, Ali Ebrahim, Nathan E. Lewis, Aarash Bordbar, Jeffrey D. Orth, Daniel C. Zielinski, Adam M. Feist, Richard Que and Ronan M. T. Fleming and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Daniel R. Hyduke

35 papers receiving 4.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0

2011 1.3k citations Jan Schellenberger, Richard Que et al. Nature Protocols profile →
COBRApy: COnstraints-Based Reconstruction and Analysis for Python

2013 841 citations Ali Ebrahim, Joshua A. Lerman et al. BMC Systems Biology profile →

Peers

Countries citing papers authored by Daniel R. Hyduke

Since Specialization

Citations

This map shows the geographic impact of Daniel R. Hyduke'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 R. Hyduke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Hyduke more than expected).

Fields of papers citing papers by Daniel R. Hyduke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Hyduke. 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 R. Hyduke. The network helps show where Daniel R. Hyduke may publish in the future.

Co-authorship network of co-authors of Daniel R. Hyduke

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Hyduke. A scholar is included among the top collaborators of Daniel R. Hyduke 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 R. Hyduke. Daniel R. Hyduke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	TGx-DDI, a Transcriptomic Biomarker for Genotoxicity Hazard Assessment of Pharmaceuticals and Environmental Chemicals 2019 ·Frontiers in Big Data ·Heng‐Hong Li, Carole L. Yauk, Renxiang Chen, Daniel R. Hyduke, Andrew Williams, Roland Frötschl, Heidrun Ellinger‐Ziegelbauer, Syril Pettit, Jiri Aubrecht, Albert J. Fornace	31
2	Development and validation of a high-throughput transcriptomic biomarker to address 21st century genetic toxicology needs 2017 ·Proceedings of the National Academy of Sciences ·Heng‐Hong Li, Renxiang Chen, Daniel R. Hyduke, Andrew Williams, Roland Frötschl, Heidrun Ellinger‐Ziegelbauer, Raegan O’Lone, Carole L. Yauk, Jiri Aubrecht, Albert J. Fornace	72
3	A predictive toxicogenomics signature to classify genotoxic versus non-genotoxic chemicals in human TK6 cells 2015 ·Data in Brief ·Andrew Williams, Julie K. Buick, Ivy D. Moffat, Carol D. Swartz, Leslie Recio, Daniel R. Hyduke, Heng‐Hong Li, Albert J. Fornace, Jiri Aubrecht, Carole L. Yauk	18
4	Comparison of toxicogenomics and traditional approaches to inform mode of action and points of departure in human health risk assessment of benzo[a]pyrene in drinking water 2015 ·Critical Reviews in Toxicology ·Ivy D. Moffat, Nikolai L. Chepelev, Sarah Labib, Julie Bourdon-Lacombe, Byron Kuo, Julie K. Buick, France Lemieux, Andrew Williams, Sabina Halappanavar, Amal Malik, Mirjam Luijten, Jiri Aubrecht, Daniel R. Hyduke, Albert J. Fornace, Carol D. Swartz, Leslie Recio, Carole L. Yauk	128
5	A Systems Approach to Predict Oncometabolites via Context-Specific Genome-Scale Metabolic Networks 2014 ·PLoS Computational Biology ·Hojung Nam, Miguel A. Campodonico, Aarash Bordbar, Daniel R. Hyduke, Sangwoo Kim, Daniel C. Zielinski, Bernhard Ø. Palsson	55
6	Salmonella modulates metabolism during growth under conditions that induce expression of virulence genes 2013 ·Molecular BioSystems ·Young‐Mo Kim, Brian J. Schmidt, (unknown), Marcus B. Jones, Brooke L. Deatherage Kaiser, Heather M. Brewer, Hugh Mitchell, Bernhard Ø. Palsson, Jason McDermott, Fred Heffron, Richard Smith, Scott N. Peterson, Charles Ansong, Daniel R. Hyduke, Thomas Metz, Joshua Adkins	43
7	Genome‐scale models of metabolism and gene expression extend and refine growth phenotype prediction 2013 ·Molecular Systems Biology ·Edward J. O’Brien, Joshua A. Lerman, Roger L. Chang, Daniel R. Hyduke, Bernhard Ø. Palsson	337
8	COBRApy: COnstraints-Based Reconstruction and Analysis for Python breakdown → 2013 ·BMC Systems Biology ·Ali Ebrahim, Joshua A. Lerman, Bernhard Ø. Palsson, Daniel R. Hyduke	841
9	Identifying radiation exposure biomarkers from mouse blood transcriptome 2013 ·International Journal of Bioinformatics Research and Applications ·Daniel R. Hyduke, Evagelia C. Laiakis, (unknown), Albert J. Fornace	10
10	Analysis of omics data with genome-scale models of metabolism 2012 ·Molecular BioSystems ·Daniel R. Hyduke, Nathan E. Lewis, Bernhard Ø. Palsson	137
11	Exposure to ionizing radiation induced persistent gene expression changes in mouse mammary gland 2012 ·Radiation Oncology ·Kamal Datta, Daniel R. Hyduke, Shubhankar Suman, Bo‐Hyun Moon, Michael D. Johnson, Albert J. Fornace	28
12	In silico method for modelling metabolism and gene product expression at genome scale 2012 ·Nature Communications ·Joshua A. Lerman, Daniel R. Hyduke, Haythem Latif, Vasiliy A. Portnoy, Nathan E. Lewis, Jeffrey D. Orth, Alexandra C. Schrimpe‐Rutledge, Richard Smith, Joshua Adkins, Karsten Zengler, Bernhard Ø. Palsson	204
13	Technologies and Approaches to Elucidate and Model the Virulence Program of Salmonella 2011 ·Frontiers in Microbiology ·Jason McDermott, Hyunjin Yoon, Ernesto Nakayasu, Thomas Metz, Daniel R. Hyduke, (unknown), Bernhard Ø. Palsson, Joshua Adkins, Fred Heffron	15
14	Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0 breakdown → 2011 ·Nature Protocols ·Jan Schellenberger, Richard Que, Ronan M. T. Fleming, Ines Thiele, Jeffrey D. Orth, Adam M. Feist, Daniel C. Zielinski, Aarash Bordbar, Nathan E. Lewis, Sorena Rahmanian, Joseph Kang, Daniel R. Hyduke, Bernhard Ø. Palsson	1340
15	COBRA Toolbox 2.0 2011 ·Protocol Exchange ·Daniel R. Hyduke, Jan Schellenberger, Richard Que, Ronan M. T. Fleming, Ines Thiele, (unknown), Adam M. Feist, Daniel C. Zielinski, Aarash Bordbar, Nathan E. Lewis, Sorena Rahmanian, Joseph Kang, Bernhard Ø. Palsson	31
16	Towards genome-scale signalling-network reconstructions 2010 ·Nature Reviews Genetics ·Daniel R. Hyduke, Bernhard Ø. Palsson	93
17	Trimming of mammalian transcriptional networks using network component analysis 2010 ·BMC Bioinformatics ·Linh M. Tran, Daniel R. Hyduke, James C. Liao	13
18	Determination of the Escherichia coli S-Nitrosoglutathione Response Network Using Integrated Biochemical and Systems Analysis 2007 ·Journal of Biological Chemistry ·Laura R. Jarboe, Daniel R. Hyduke, Linh M. Tran, Katherine Chou, James C. Liao	31
19	Integrated network analysis identifies nitric oxide response networks and dihydroxyacid dehydratase as a crucial target in Escherichia coli 2007 ·Proceedings of the National Academy of Sciences ·Daniel R. Hyduke, Laura R. Jarboe, Linh M. Tran, Katherine Chou, James C. Liao	117
20	Analysis of nitric oxide donor effectiveness in resistance vessels 2005 ·American Journal of Physiology-Heart and Circulatory Physiology ·Daniel R. Hyduke, James C. Liao	7

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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