Jason M. Gee

487 total citations
9 papers, 366 citations indexed

About

Jason M. Gee is a scholar working on Small Animals, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Jason M. Gee has authored 9 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Small Animals, 3 papers in Molecular Biology and 3 papers in Clinical Biochemistry. Recurrent topics in Jason M. Gee's work include Bacterial Identification and Susceptibility Testing (3 papers), Brucella: diagnosis, epidemiology, treatment (3 papers) and Burkholderia infections and melioidosis (2 papers). Jason M. Gee is often cited by papers focused on Bacterial Identification and Susceptibility Testing (3 papers), Brucella: diagnosis, epidemiology, treatment (3 papers) and Burkholderia infections and melioidosis (2 papers). Jason M. Gee collaborates with scholars based in United States and France. Jason M. Gee's co-authors include R. Martin Roop, Wai‐Leung Ng, John M. Richardson, Gregory T. Robertson, Malcolm E. Winkler, C. Jeffrey Smith, Michael E. Kovach, Michael A. Reott, Edson R. Rocha and Dorcas P. O’Rourke and has published in prestigious journals such as Journal of Bacteriology, Molecular Microbiology and Infection and Immunity.

In The Last Decade

Jason M. Gee

9 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason M. Gee United States 8 158 113 77 65 52 9 366
Gong-Xin Yu United States 10 133 0.8× 81 0.7× 54 0.7× 23 0.4× 44 0.8× 15 395
Ji-Young Yang South Korea 7 205 1.3× 50 0.4× 61 0.8× 26 0.4× 31 0.6× 7 475
Caitlin H. Kowalski United States 12 170 1.1× 61 0.5× 149 1.9× 17 0.3× 22 0.4× 15 515
Prisca Viehoever Germany 13 653 4.1× 23 0.2× 130 1.7× 186 2.9× 66 1.3× 16 1.0k
Huong Ung United States 7 90 0.6× 49 0.4× 77 1.0× 35 0.5× 11 0.2× 7 474
Francisco Guaimas Argentina 11 119 0.8× 101 0.9× 68 0.9× 52 0.8× 9 0.2× 17 304
Nabonita Sengupta India 10 148 0.9× 16 0.1× 35 0.5× 14 0.2× 19 0.4× 11 392
Graciela Nora Arenas Argentina 7 70 0.4× 113 1.0× 52 0.7× 79 1.2× 20 0.4× 15 300
John L. Penner Canada 13 137 0.9× 33 0.3× 14 0.2× 79 1.2× 24 0.5× 14 508
Guat Jah Wong Malaysia 8 115 0.7× 61 0.5× 147 1.9× 8 0.1× 25 0.5× 24 325

Countries citing papers authored by Jason M. Gee

Since Specialization
Citations

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

Fields of papers citing papers by Jason M. Gee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason M. Gee. 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 Jason M. Gee. The network helps show where Jason M. Gee may publish in the future.

Co-authorship network of co-authors of Jason M. Gee

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

All Works

9 of 9 papers shown
1.
Widener, Gail L., et al.. (2019). Changes in standing stability with balance‐based torso‐weighting with cerebellar ataxia: A pilot study. Physiotherapy Research International. 25(1). e1814–e1814. 11 indexed citations
2.
Kroeger, Heike, Carissa Messah, Kelly Ahern, et al.. (2012). Induction of Endoplasmic Reticulum Stress Genes,BiPandChop, in Genetic and Environmental Models of Retinal Degeneration. Investigative Ophthalmology & Visual Science. 53(12). 7590–7590. 61 indexed citations
3.
Ndamukong, Ivan, Jason M. Gee, & C. Jeffrey Smith. (2012). The Extracytoplasmic Function Sigma Factor EcfO Protects Bacteroides fragilis against Oxidative Stress. Journal of Bacteriology. 195(1). 145–155. 15 indexed citations
5.
Sund, Christian, Edson R. Rocha, Arthur O. Tzianabos, et al.. (2008). The Bacteroides fragilis transcriptome response to oxygen and H2O2: the role of OxyR and its effect on survival and virulence. Molecular Microbiology. 68(5). 1340–1340. 2 indexed citations
6.
Sund, Christian, Edson R. Rocha, Jason M. Gee, et al.. (2007). The Bacteroides fragilis transcriptome response to oxygen and H2O2: the role of OxyR and its effect on survival and virulence. Molecular Microbiology. 67(1). 129–142. 90 indexed citations
7.
Roux, Christelle M., Natha J. Booth, Bryan H. Bellaire, et al.. (2006). RecA and RadA Proteins ofBrucella abortusDo Not Perform Overlapping Protective DNA Repair Functions following Oxidative Burst. Journal of Bacteriology. 188(14). 5187–5195. 12 indexed citations
8.
Gee, Jason M., Michelle Wright Valderas, Michael E. Kovach, et al.. (2005). TheBrucella abortusCu,Zn Superoxide Dismutase Is Required for Optimal Resistance to Oxidative Killing by Murine Macrophages and Wild-Type Virulence in Experimentally Infected Mice. Infection and Immunity. 73(5). 2873–2880. 98 indexed citations
9.
Roop, R. Martin, Jason M. Gee, Gregory T. Robertson, et al.. (2003). BrucellaStationary-Phase Gene Expression and Virulence. Annual Review of Microbiology. 57(1). 57–76. 66 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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