Jody Johnson

1.1k total citations
8 papers, 813 citations indexed

About

Jody Johnson is a scholar working on Cellular and Molecular Neuroscience, Insect Science and Molecular Biology. According to data from OpenAlex, Jody Johnson has authored 8 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Insect Science and 4 papers in Molecular Biology. Recurrent topics in Jody Johnson's work include Neurobiology and Insect Physiology Research (5 papers), Insect Utilization and Effects (3 papers) and Invertebrate Immune Response Mechanisms (2 papers). Jody Johnson is often cited by papers focused on Neurobiology and Insect Physiology Research (5 papers), Insect Utilization and Effects (3 papers) and Invertebrate Immune Response Mechanisms (2 papers). Jody Johnson collaborates with scholars based in United States and Taiwan. Jody Johnson's co-authors include Debbie McKenzie, Judd M. Aiken, Bruce M. Christensen, Allen Herbst, Entela Bua, Shahriar Salamat, Chad Johnson, Jianmin Fang, Qian Han and J Li and has published in prestigious journals such as Biochemical Journal, Biochemical and Biophysical Research Communications and The American Journal of Human Genetics.

In The Last Decade

Jody Johnson

8 papers receiving 796 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jody Johnson United States 8 555 166 155 134 126 8 813
Juan P. Ianowski Canada 21 203 0.4× 284 1.7× 151 1.0× 110 0.8× 62 0.5× 37 826
Lori L. Stohl United States 18 933 1.7× 105 0.6× 13 0.1× 115 0.9× 96 0.8× 24 1.3k
Svetoslav Dimov Bulgaria 12 269 0.5× 82 0.5× 56 0.4× 13 0.1× 52 0.4× 79 591
F. X. Omlin Switzerland 17 282 0.5× 169 1.0× 54 0.3× 43 0.3× 35 0.3× 24 745
Nathalie C. Franc United States 15 416 0.7× 308 1.9× 306 2.0× 144 1.1× 905 7.2× 19 1.3k
Laura Kean United Kingdom 12 388 0.7× 622 3.7× 281 1.8× 25 0.2× 209 1.7× 15 1.1k
Alexandre de Lencastre United States 12 712 1.3× 21 0.1× 14 0.1× 103 0.8× 14 0.1× 16 1.0k
Miho Hirabayashi Japan 14 325 0.6× 126 0.8× 15 0.1× 96 0.7× 30 0.2× 26 838
R. Curtis United Kingdom 18 368 0.7× 67 0.4× 13 0.1× 39 0.3× 15 0.1× 40 663
Kusum Singh India 16 478 0.9× 229 1.4× 114 0.7× 57 0.4× 74 0.6× 38 895

Countries citing papers authored by Jody Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Jody Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jody Johnson

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

All Works

8 of 8 papers shown
1.
Bua, Entela, Jody Johnson, Allen Herbst, et al.. (2006). Mitochondrial DNA–Deletion Mutations Accumulate Intracellularly to Detrimental Levels in Aged Human Skeletal Muscle Fibers. The American Journal of Human Genetics. 79(3). 469–480. 337 indexed citations
2.
Johnson, Chad, Jody Johnson, Joshua P. Vanderloo, et al.. (2006). Prion protein polymorphisms in white-tailed deer influence susceptibility to chronic wasting disease. Journal of General Virology. 87(7). 2109–2114. 133 indexed citations
3.
Rocheleau, Thomas A., Lyric C. Bartholomay, Jody Johnson, et al.. (2004). The role of phenylalanine hydroxylase in melanotic encapsulation of filarial worms in two species of mosquitoes. Insect Biochemistry and Molecular Biology. 34(12). 1329–1338. 43 indexed citations
4.
Johnson, Jody, et al.. (2003). A potential role for phenylalanine hydroxylase in mosquito immune responses. Insect Biochemistry and Molecular Biology. 33(3). 345–354. 34 indexed citations
5.
Johnson, Chad, Jody Johnson, Murray K. Clayton, Debbie McKenzie, & Judd M. Aiken. (2003). PRION PROTEIN GENE HETEROGENEITY IN FREE-RANGING WHITE-TAILED DEER WITHIN THE CHRONIC WASTING DISEASE AFFECTED REGION OF WISCONSIN. Journal of Wildlife Diseases. 39(3). 576–581. 70 indexed citations
6.
Fang, Jianmin, Qian Han, Jody Johnson, Bruce M. Christensen, & Jianyong Li. (2002). Functional Expression and Characterization of Aedes aegypti Dopachrome Conversion Enzyme. Biochemical and Biophysical Research Communications. 290(1). 287–293. 23 indexed citations
7.
Han, Qian, Jianmin Fang, Haizhen Ding, et al.. (2002). Identification of Drosophila melanogaster yellow-f and yellow-f2 proteins as dopachrome-conversion enzymes. Biochemical Journal. 368(1). 333–340. 121 indexed citations
8.
Johnson, Jody, J Li, & Bruce M. Christensen. (2001). Cloning and characterization of a dopachrome conversion enzyme from the yellow fever mosquito, Aedes aegypti. Insect Biochemistry and Molecular Biology. 31(11). 1125–1135. 52 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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