Justin Hogg

1.4k total citations
20 papers, 958 citations indexed

About

Justin Hogg is a scholar working on Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Justin Hogg has authored 20 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Epidemiology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Justin Hogg's work include Gene Regulatory Network Analysis (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Pneumonia and Respiratory Infections (4 papers). Justin Hogg is often cited by papers focused on Gene Regulatory Network Analysis (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Pneumonia and Respiratory Infections (4 papers). Justin Hogg collaborates with scholars based in United States, Italy and Germany. Justin Hogg's co-authors include Garth D. Ehrlich, Fen Hu, Robert Boissy, Benjamin Janto, J. Christopher Post, Jay Hayes, James R. Faeder, Randy Keefe, Leonard A. Harris and N. Luisa Hiller and has published in prestigious journals such as Bioinformatics, Journal of Bacteriology and PLoS Biology.

In The Last Decade

Justin Hogg

19 papers receiving 934 citations

Peers

Countries citing papers authored by Justin Hogg

Since Specialization

Citations

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

Fields of papers citing papers by Justin Hogg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Hogg. 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 Justin Hogg. The network helps show where Justin Hogg may publish in the future.

Co-authorship network of co-authors of Justin Hogg

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Hogg. A scholar is included among the top collaborators of Justin Hogg 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 Justin Hogg. Justin Hogg 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	Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study 2025 ·JMIR mhealth and uhealth ·(unknown), Justin Hogg, (unknown), Jane Kim	0
2	Physicians’ and Machine Learning Researchers’ Perspectives on Ethical Issues in the Early Development of Clinical Machine Learning Tools: Qualitative Interview Study 2023 ·PubMed ·Jane Kim, (unknown), (unknown), Justin Hogg, Laura B. Dunn, Laura Weiss Roberts	7
3	BioNetGen 2.2: advances in rule-based modeling 2016 ·Bioinformatics ·Leonard A. Harris, Justin Hogg, (unknown), John A. P. Sekar, Sanjana Gupta, Ilya Korsunsky, Arshi Arora, Dipak Barua, Robert P. Sheehan, James R. Faeder	131
4	Energy-based modeling in BioNetGen 2016 ·John A. P. Sekar, Justin Hogg, James R. Faeder	8
5	Modeling and Hemofiltration Treatment of Acute Inflammation 2016 ·Processes ·Robert S. Parker, Justin Hogg, Anirban Roy, John A. Kellum, Thomas Rimmelé, Silvia Daun, Morgan V. Fedorchak, (unknown), William J. Federspiel, Jonathan E. Rubin, Yoram Vodovotz, Constantino Lagoa, Gilles Clermont	4
6	Exact Hybrid Particle/Population Simulation of Rule-Based Models of Biochemical Systems 2014 ·PLoS Computational Biology ·Justin Hogg, Leonard A. Harris, (unknown), (unknown), James R. Faeder	27
7	Advances in Rule-based Modeling: Compartments, Energy, and Hybrid Simulation, with Application to Sepsis and Cell Signaling 2013 ·D-Scholarship@Pitt (University of Pittsburgh) ·Justin Hogg	9
8	Ensemble Models of Neutrophil Trafficking in Severe Sepsis 2012 ·PLoS Computational Biology ·Sang Ok Song, Justin Hogg, Zhiyong Peng, Robert S. Parker, John A. Kellum, Gilles Clermont	25
9	Comparative supragenomic analyses among the pathogens Staphylococcus aureus, Streptococcus pneumoniae, and Haemophilus influenzae Using a modification of the finite supragenome model 2011 ·BMC Genomics ·Robert Boissy, Azad Ahmed, Benjamin Janto, Josh Earl, Barry G. Hall, Justin Hogg, Gordon D. Pusch, N. Luisa Hiller, Evan Powell, Jay Hayes, Susan Yu, Sandeep Kathju, Paul Stoodley, J. Christopher Post, Garth D. Ehrlich, Fen Hu	42
10	Generation of Genic Diversity among Streptococcus pneumoniae Strains via Horizontal Gene Transfer during a Chronic Polyclonal Pediatric Infection 2010 ·PLoS Pathogens ·N. Luisa Hiller, Azad Ahmed, Evan Powell, Darren P. Martin, Rory Eutsey, (unknown), Benjamin Janto, Robert Boissy, Justin Hogg, Karen A. Barbadora, Rangarajan Sampath, (unknown), J. Christopher Post, Fen Hu, Garth D. Ehrlich	109
11	Expression of Receptor for Activated C Kinase 1 in Healing Skin and Mucosal Wounds 2010 ·Annals of Plastic Surgery ·Latha Satish, Justin Hogg, Sandra L. Johnson, (unknown), J. Christopher Post, Garth D. Ehrlich, Sandeep Kathju	5
12	Acute Inflammation Treatment via Particle Filter State Estimation and MPC 2010 ·IFAC Proceedings Volumes ·Justin Hogg, Gilles Clermont, Robert S. Parker	6
13	Compartmental rule-based modeling of biochemical systems 2009 ·Winter Simulation Conference ·Leonard A. Harris, Justin Hogg, James R. Faeder	23
14	Compartmental rule-based modeling of biochemical systems 2009 ·Proceedings of the 2009 Winter Simulation Conference (WSC) ·Leonard A. Harris, Justin Hogg, James R. Faeder	19
15	A compartmental model reveals a mechanism for misregulation of neutrophil trafficking in sepsis 2009 ·Journal of Critical Care ·Justin Hogg, James R. Faeder, Robert S. Parker, Gilles Clermont	1
16	Optimizing hemadsorption therapy with model predictive control 2008 ·Journal of Critical Care ·Justin Hogg, Gilles Clermont, John A. Kellum, Robert S. Parker	1
17	Characterization and modeling of the Haemophilus influenzae core and supragenomes based on the complete genomic sequences of Rd and 12 clinical nontypeable strains 2007 ·Genome biology ·Justin Hogg, Fen Hu, Benjamin Janto, Robert Boissy, Jay Hayes, Randy Keefe, J. Christopher Post, Garth D. Ehrlich	175
18	Virulence phenotypes of low-passage clinical isolates of Nontypeable Haemophilus influenzae assessed using the chinchilla laniger model of otitis media 2007 ·BMC Microbiology ·Farrel J. Buchinsky, Michael L. Forbes, Jay Hayes, Kai Shen, (unknown), (unknown), Justin Hogg, N. Luisa Hiller, Fen Hu, J. Christopher Post, Garth D. Ehrlich	19
19	Comparative Genomic Analyses of Seventeen Streptococcus pneumoniae Strains: Insights into the Pneumococcal Supragenome 2007 ·Journal of Bacteriology ·N. Luisa Hiller, Benjamin Janto, Justin Hogg, Robert Boissy, Susan Yu, Evan Powell, Randy Keefe, (unknown), Kai Shen, Jay Hayes, Karen A. Barbadora, William Klimke, (unknown), Tatiana Tatusova, Julian Parkhill, Stephen D. Bentley, J. Christopher Post, Garth D. Ehrlich, Fen Hu	218
20	Insights into the Genome of Large Sulfur Bacteria Revealed by Analysis of Single Filaments 2007 ·PLoS Biology ·Marc Mußmann, Fen Hu, Michael Richter, Dirk de Beer, (unknown), Bo Barker Jørgensen, Marcel Huntemann, Frank Oliver Glöckner, Rudolf Amann, Werner J.H. Koopman, Roger S. Lasken, Benjamin Janto, Justin Hogg, Paul Stoodley, Robert Boissy, Garth D. Ehrlich	129

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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