John R. Houser

614 total citations
12 papers, 437 citations indexed

About

John R. Houser is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cell Biology. According to data from OpenAlex, John R. Houser has authored 12 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Cell Biology. Recurrent topics in John R. Houser's work include Gene Regulatory Network Analysis (4 papers), Fungal and yeast genetics research (4 papers) and Blood properties and coagulation (3 papers). John R. Houser is often cited by papers focused on Gene Regulatory Network Analysis (4 papers), Fungal and yeast genetics research (4 papers) and Blood properties and coagulation (3 papers). John R. Houser collaborates with scholars based in United States, Japan and India. John R. Houser's co-authors include Nathan E. Hudson, Michael R. Falvo, Richard Superfine, Susan T. Lord, E. Timothy O’Brien, Edward M. Marcotte, Timothy C. Elston, Russell M. Taylor, Beverly Errede and Lifang Ping and has published in prestigious journals such as Molecular Cell, Physical Review B and Scientific Reports.

In The Last Decade

John R. Houser

11 papers receiving 433 citations

Peers

John R. Houser

MB

PRM

PERIO

PHYSI

CB

Batya Zaks Israel

Xiaojie Ji United States

Tibor Sipos United States

Eun-Mi Lee South Korea

Heloísa Gusman Brazil

M.J. Levine United States

Di‐Qing Luo China

María Laura Gabelloni Argentina

S. K. Schluckebier United States

Nyssa Cullin United States

Batya Zaks Israel

John R. Houser

165 ×0.9

MB

23 ×0.2

PRM

151 ×1.7

PERIO

134 ×2.4

PHYSI

26 ×0.5

CB

Citations per year, relative to John R. Houser John R. Houser (= 1×) peers Batya Zaks

Countries citing papers authored by John R. Houser

Since Specialization

Citations

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

Fields of papers citing papers by John R. Houser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John R. Houser

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

All Works

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12 of 12 papers shown

1.

McCafferty, Caitlyn L, Pierre C. Havugimana, Ophelia Papoulas, et al.. (2022). The protein organization of a red blood cell. Cell Reports. 40(3). 111103–111103. 40 indexed citations

2.

Houser, John R., et al.. (2021). A predictive model of gene expression reveals the role of network motifs in the mating response of yeast. Science Signaling. 14(670). 5 indexed citations

3.

Elston, Timothy C., et al.. (2020). Positive roles for negative regulators in the mating response of yeast. UNC Libraries.

4.

Kuboniwa, Masae, John R. Houser, Erik L. Hendrickson, et al.. (2017). Metabolic crosstalk regulates Porphyromonas gingivalis colonization and virulence during oral polymicrobial infection. Nature Microbiology. 2(11). 1493–1499. 106 indexed citations

5.

Houser, John R., Daniel R. Boutz, Sean M. Carroll, et al.. (2017). The E. coli molecular phenotype under different growth conditions. Scientific Reports. 7(1). 45303–45303. 43 indexed citations

6.

Houser, John R., Daniel R. Boutz, Sean M. Carroll, et al.. (2015). Controlled Measurement and Comparative Analysis of Cellular Components in E. coli Reveals Broad Regulatory Changes in Response to Glucose Starvation. PLoS Computational Biology. 11(8). e1004400–e1004400. 30 indexed citations

7.

Kelley, Joshua B., et al.. (2014). Cellular Noise Suppression by the Regulator of G Protein Signaling Sst2. Molecular Cell. 55(1). 85–96. 23 indexed citations

8.

Houser, John R., et al.. (2012). Positive roles for negative regulators in the mating response of yeast. Molecular Systems Biology. 8(1). 586–586. 14 indexed citations

9.

Houser, John R., et al.. (2012). An improved short‐lived fluorescent protein transcriptional reporter for Saccharomyces cerevisiae. Yeast. 29(12). 519–530. 41 indexed citations

10.

Hudson, Nathan E., John R. Houser, E. Timothy O’Brien, et al.. (2010). Stiffening of Individual Fibrin Fibers Equitably Distributes Strain and Strengthens Networks. Biophysical Journal. 98(8). 1632–1640. 69 indexed citations

11.

Houser, John R., Nathan E. Hudson, Lifang Ping, et al.. (2010). Evidence that αC Region Is Origin of Low Modulus, High Extensibility, and Strain Stiffening in Fibrin Fibers. Biophysical Journal. 99(9). 3038–3047. 62 indexed citations

12.

Bentmann, Hendrik, John R. Houser, & Alexander A. Demkov. (2009). Ab initiostudy of early stages of III-V epitaxy on high-index surfaces of group-IV semiconductors: In adsorption on Si(112). Physical Review B. 80(8). 4 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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