Wayne A. Johnson

3.5k total citations
68 papers, 2.8k citations indexed

About

Wayne A. Johnson is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Wayne A. Johnson has authored 68 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 20 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Wayne A. Johnson's work include Neurobiology and Insect Physiology Research (19 papers), Hypothalamic control of reproductive hormones (7 papers) and Hormonal and reproductive studies (6 papers). Wayne A. Johnson is often cited by papers focused on Neurobiology and Insect Physiology Research (19 papers), Hypothalamic control of reproductive hormones (7 papers) and Hormonal and reproductive studies (6 papers). Wayne A. Johnson collaborates with scholars based in United States, Canada and Australia. Wayne A. Johnson's co-authors include Jay Hirsh, Michael J. Welsh, Michael G. Anderson, Lei Liu, David G. Motto, Margaret P. Price, Christopher M. Adams, Sarah J. Certel, Joshua A. Ainsley and Leonore Tiefer and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Wayne A. Johnson

65 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wayne A. Johnson United States 27 1.3k 1.2k 544 313 302 68 2.8k
Yasuhisa Endo Japan 27 1.2k 0.9× 969 0.8× 437 0.8× 226 0.7× 167 0.6× 97 2.5k
Kim Kaiser United Kingdom 26 2.2k 1.7× 1.7k 1.4× 976 1.8× 384 1.2× 502 1.7× 51 3.5k
David B. Morton United States 28 911 0.7× 533 0.4× 339 0.6× 130 0.4× 270 0.9× 97 2.2k
Paul J. Linser United States 35 868 0.7× 2.1k 1.8× 286 0.5× 381 1.2× 433 1.4× 100 3.2k
Mario de Bono United Kingdom 29 781 0.6× 955 0.8× 542 1.0× 174 0.6× 101 0.3× 51 3.7k
Greg S. B. Suh United States 21 1.8k 1.4× 845 0.7× 829 1.5× 153 0.5× 292 1.0× 31 3.0k
Maurice J. Kernan United States 23 1.2k 1.0× 1.5k 1.3× 1.1k 2.1× 640 2.0× 104 0.3× 26 3.1k
Roland J. Bainton United States 22 1.3k 1.0× 1.1k 0.9× 418 0.8× 352 1.1× 307 1.0× 30 2.5k
Linda S. Ross United States 19 523 0.4× 974 0.8× 150 0.3× 362 1.2× 221 0.7× 33 1.9k
Wendi S. Neckameyer United States 28 1.3k 1.0× 857 0.7× 650 1.2× 213 0.7× 200 0.7× 48 2.3k

Countries citing papers authored by Wayne A. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Wayne A. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne A. Johnson

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

All Works

20 of 20 papers shown
1.
Johnson, Wayne A. & Devon Proudfoot. (2024). Greater variability in judgements of the value of novel ideas. Nature Human Behaviour. 8(3). 471–479. 3 indexed citations
2.
Okike, Kanu, Donna Phillips, Wayne A. Johnson, & Mary I. O’Connor. (2019). Orthopaedic Faculty and Resident Racial/Ethnic Diversity is Associated With the Orthopaedic Application Rate Among Underrepresented Minority Medical Students. Journal of the American Academy of Orthopaedic Surgeons. 28(6). 241–247. 61 indexed citations
3.
Ruan, Hongyu, Atsushi Ueda, Spencer T. Mukai, et al.. (2017). Generation and characterization of new alleles ofquiver(qvr) that encodes an extracellular modulator of theShakerpotassium channel. Journal of Neurogenetics. 31(4). 325–336. 4 indexed citations
4.
Kim, Myung-Jun & Wayne A. Johnson. (2014). ROS-mediated activation of Drosophila larval nociceptor neurons by UVC irradiation. BMC Neuroscience. 15(1). 14–14. 27 indexed citations
5.
Kim, Myung‐Joon, et al.. (2013). Hyperoxia-Triggered Aversion Behavior inDrosophilaForaging Larvae Is Mediated by Sensory Detection of Hydrogen Peroxide. Journal of Neurogenetics. 27(4). 151–162. 9 indexed citations
7.
Ainsley, Joshua A., et al.. (2010). Developmental timing of a sensory-mediated larval surfacing behavior correlates with cessation of feeding and determination of final adult size. Developmental Biology. 345(2). 170–179. 21 indexed citations
8.
Ainsley, Joshua A., et al.. (2008). Sensory mechanisms controlling the timing of larval developmental and behavioral transitions require the Drosophila DEG/ENaC subunit, Pickpocket1. Developmental Biology. 322(1). 46–55. 38 indexed citations
9.
Komiyama, Takaki, Wayne A. Johnson, Liqun Luo, & Gregory S.X.E. Jefferis. (2003). From Lineage to Wiring Specificity. Cell. 112(2). 157–167. 130 indexed citations
10.
Liu, Lei, A. Soren Leonard, David G. Motto, et al.. (2003). Contribution of Drosophila DEG/ENaC Genes to Salt Taste. Neuron. 39(1). 133–146. 137 indexed citations
11.
Clyne, Peter J., et al.. (1999). The Odor Specificities of a Subset of Olfactory Receptor Neurons Are Governed by Acj6, a POU-Domain Transcription Factor. Neuron. 22(2). 339–347. 136 indexed citations
12.
Binari, Richard, Brian E. Staveley, Wayne A. Johnson, et al.. (1997). Genetic evidence that heparin-like glycosaminoglycans are involved in wingless signaling. Development. 124(13). 2623–2632. 216 indexed citations
13.
Schiller, Martin R., et al.. (1996). Transformational Leadership of Clinical Nutrition Managers. Journal of the American Dietetic Association. 96(1). 39–45. 22 indexed citations
14.
Certel, Sarah J. & Wayne A. Johnson. (1996). Disruption of mesectodermal lineages by temporal misexpression of theDrosophila POU-domain transcription factor,drifter. Developmental Genetics. 18(4). 279–288. 5 indexed citations
15.
Johnson, Wayne A. & Jay Hirsh. (1990). Binding of a Drosophila POU-domain protein to a sequence element regulating gene expression in specific dopaminergic neurons. Nature. 343(6257). 467–470. 156 indexed citations
16.
Confer, Anthony W., et al.. (1981). Mitogen stimulation of japanese quail blood lymphocytes in vitro. Poultry Science. 60(7). 1604–1605. 8 indexed citations
17.
Johnson, Wayne A.. (1980). Performance and Loads Data from a Wind Tunnel Test of a Full-Scale Rotor with Four Blade Tip Planforms. Defense Technical Information Center (DTIC). 6 indexed citations
18.
Steiner, Michael, et al.. (1978). A stable blood product for pH-blood-gas quality control.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 24(5). 793–5. 3 indexed citations
19.
Johnson, Wayne A. & Graeme S. Halford. (1975). Children's ability to interpret transformations of a quantity, II: Judgment and memory for series of one to seven unambiguous transformations.. Canadian Journal of Psychology/Revue Canadienne de Psychologie. 29(2). 142–150. 1 indexed citations
20.
Johnson, Wayne A. & T. B. Avery. (1969). Quantitative evaluation of changes in anterior pituitary acidophil concentration. Reproduction. 18(1). 169–170. 1 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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