Christopher C. Govern

993 total citations
13 papers, 727 citations indexed

About

Christopher C. Govern is a scholar working on Molecular Biology, Immunology and Physical and Theoretical Chemistry. According to data from OpenAlex, Christopher C. Govern has authored 13 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Immunology and 3 papers in Physical and Theoretical Chemistry. Recurrent topics in Christopher C. Govern's work include Gene Regulatory Network Analysis (8 papers), T-cell and B-cell Immunology (4 papers) and thermodynamics and calorimetric analyses (3 papers). Christopher C. Govern is often cited by papers focused on Gene Regulatory Network Analysis (8 papers), T-cell and B-cell Immunology (4 papers) and thermodynamics and calorimetric analyses (3 papers). Christopher C. Govern collaborates with scholars based in United States and Netherlands. Christopher C. Govern's co-authors include Pieter Rein ten Wolde, Arup K. Chakraborty, Ming Yang, Jeroen P. Roose, Julie Zikherman, Arthur Weiss, Jayajit Das, Mary Ho, Eric S. Huseby and Michelle K. Paczosa and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Christopher C. Govern

13 papers receiving 725 citations

Peers

Christopher C. Govern
Raibatak Das United States
Narat J. Eungdamrong United States
Alexei Kurakin United States
Joseph Zhou United States
Alejandra C. Ventura United States
Christopher C. Govern
Citations per year, relative to Christopher C. Govern Christopher C. Govern (= 1×) peers Yaron E. Antebi

Countries citing papers authored by Christopher C. Govern

Since Specialization
Citations

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

Fields of papers citing papers by Christopher C. Govern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher C. Govern. 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 Christopher C. Govern. The network helps show where Christopher C. Govern may publish in the future.

Co-authorship network of co-authors of Christopher C. Govern

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

All Works

13 of 13 papers shown
1.
Govern, Christopher C. & Pieter Rein ten Wolde. (2014). Energy Dissipation and Noise Correlations in Biochemical Sensing. Physical Review Letters. 113(25). 258102–258102. 70 indexed citations
2.
Govern, Christopher C. & Pieter Rein ten Wolde. (2014). Optimal resource allocation in cellular sensing systems. Proceedings of the National Academy of Sciences. 111(49). 17486–17491. 96 indexed citations
3.
Govern, Christopher C. & Arup K. Chakraborty. (2013). Stochastic Responses May Allow Genetically Diverse Cell Populations to Optimize Performance with Simpler Signaling Networks. PLoS ONE. 8(8). e65086–e65086. 1 indexed citations
4.
Lemmens, Ed, Kristen M. Coakley, Monique Dail, et al.. (2013). Dysregulated RasGRP1 Responds to Cytokine Receptor Input in T Cell Leukemogenesis. Science Signaling. 6(268). ra21–ra21. 1 indexed citations
5.
Yang, Ming, Christopher C. Govern, Arup K. Chakraborty, et al.. (2012). Dysregulated RasGRP1 Responds to Cytokine Receptor Input in T Cell Leukemogenesis. DSpace@MIT (Massachusetts Institute of Technology). 39 indexed citations
6.
Vanguri, Vijay K., Christopher C. Govern, Rebecca Smith, & Eric S. Huseby. (2012). Viral antigen density and confinement time regulate the reactivity pattern of CD4 T-cell responses to vaccinia virus infection. Proceedings of the National Academy of Sciences. 110(1). 288–293. 25 indexed citations
7.
Govern, Christopher C. & Pieter Rein ten Wolde. (2012). Fundamental Limits on Sensing Chemical Concentrations with Linear Biochemical Networks. Physical Review Letters. 109(21). 218103–218103. 31 indexed citations
8.
Yang, Ming, Arup K. Chakraborty, & Christopher C. Govern. (2011). Identifying Dynamical Bottlenecks of Stochastic Transitions in Biochemical Networks. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
9.
Govern, Christopher C., Michelle K. Paczosa, Arup K. Chakraborty, & Eric S. Huseby. (2010). Fast on-rates allow short dwell time ligands to activate T cells. Proceedings of the National Academy of Sciences. 107(19). 8724–8729. 118 indexed citations
10.
Chakraborty, Arup K., Jayajit Das, Julie Zikherman, et al.. (2009). Molecular Origin and Functional Consequences of Digital Signaling and Hysteresis During Ras Activation in Lymphocytes. PubMed Central. 8 indexed citations
11.
Govern, Christopher C. & Arup K. Chakraborty. (2009). Signaling Cascades Modulate the Speed of Signal Propagation through Space. PLoS ONE. 4(2). e4639–e4639. 3 indexed citations
12.
Das, Jayajit, Mary Ho, Julie Zikherman, et al.. (2009). Digital Signaling and Hysteresis Characterize Ras Activation in Lymphoid Cells. Cell. 136(2). 337–351. 313 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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