Aime K. Johnson

1.1k total citations
47 papers, 696 citations indexed

About

Aime K. Johnson is a scholar working on Molecular Biology, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Aime K. Johnson has authored 47 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Agronomy and Crop Science and 13 papers in Genetics. Recurrent topics in Aime K. Johnson's work include Virus-based gene therapy research (12 papers), Reproductive Biology and Fertility (12 papers) and Reproductive Physiology in Livestock (11 papers). Aime K. Johnson is often cited by papers focused on Virus-based gene therapy research (12 papers), Reproductive Biology and Fertility (12 papers) and Reproductive Physiology in Livestock (11 papers). Aime K. Johnson collaborates with scholars based in United States, United Kingdom and Australia. Aime K. Johnson's co-authors include Douglas R. Martin, Heather Gray‐Edwards, Miguel Sena‐Esteves, Victoria J. McCurdy, Ashley N. Randle, Nancy R. Cox, Jacob A. Johnson, Henry J. Baker, Allison M. Bradbury and Brandon L. Brunson and has published in prestigious journals such as Annals of Neurology, Neuroscience and Science Translational Medicine.

In The Last Decade

Aime K. Johnson

42 papers receiving 685 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aime K. Johnson United States 14 393 295 211 99 91 47 696
Brian Cleaver United States 13 371 0.9× 279 0.9× 193 0.9× 72 0.7× 69 0.8× 19 663
Izabela Szczerbal Poland 20 787 2.0× 815 2.8× 113 0.5× 27 0.3× 70 0.8× 108 1.3k
Fulvia Baldinotti Italy 19 391 1.0× 364 1.2× 37 0.2× 296 3.0× 54 0.6× 59 979
Xingshen Sun United States 19 477 1.2× 308 1.0× 35 0.2× 97 1.0× 182 2.0× 45 1.2k
Lisa Clepper United States 12 966 2.5× 187 0.6× 88 0.4× 57 0.6× 310 3.4× 18 1.3k
Mary S. Pampusch United States 21 453 1.2× 150 0.5× 133 0.6× 23 0.2× 17 0.2× 39 899
Michèle Roa France 10 355 0.9× 121 0.4× 120 0.6× 33 0.3× 39 0.4× 13 716
Reginald Valdez United States 13 513 1.3× 79 0.3× 60 0.3× 68 0.7× 37 0.4× 23 836
Tsuyoshi Iida Japan 18 547 1.4× 70 0.2× 111 0.5× 73 0.7× 58 0.6× 40 998
Elena Notarianni United Kingdom 13 557 1.4× 323 1.1× 39 0.2× 97 1.0× 138 1.5× 21 776

Countries citing papers authored by Aime K. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Aime K. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aime K. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Aime K. Johnson. A scholar is included among the top collaborators of Aime K. 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 Aime K. Johnson. Aime K. 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.
Martin, Douglas R., et al.. (2024). Sperm collection in the domestic cat: A comparison of two techniques. Theriogenology. 231. 111–115. 1 indexed citations
2.
3.
Johnson, Aime K., et al.. (2023). Anti-Müllerian hormone and inhibin-B concentrations vary cyclically in nonovulating queens within reference ranges established for determining gonadal status in cats. Journal of the American Veterinary Medical Association. 261(12). 1796–1803. 2 indexed citations
4.
Johnson, Aime K., et al.. (2023). Alfaxalone increases measured progesterone concentration in neutered male cats when determined by immunoreactivity. Journal of the American Veterinary Medical Association. 261(12). 1–4.
5.
Kustritz, Margaret V. Root, et al.. (2023). Year-one knowledge and skills in theriogenology: a preliminary study. 15. 3–11. 1 indexed citations
6.
Johnson, Aime K., et al.. (2023). Observations about declining fertility in a feline breeding colony. Theriogenology. 212. 111–116.
7.
Johnson, Aime K.. (2022). Diagnosis and medical treatment of pyometra in the queen. 14(3). 151–154.
8.
Pinaffi, F.L.V., et al.. (2021). Effect of platelet rich plasma lysate and fibroblast growth factor 2 on stallion sperm motility. 13(2). 89–94. 2 indexed citations
9.
McNulty, Margaret A., Ashley N. Randle, Aime K. Johnson, et al.. (2020). Abnormal epiphyseal development in a feline model of Sandhoff disease. Journal of Orthopaedic Research®. 38(12). 2580–2591. 3 indexed citations
10.
Johnson, Aime K., Tulio M. Prado, Christopher Premanandan, et al.. (2019). Dimethyl sulfoxide maintains structure and function of cryopreserved equine endometrial explants. Cryobiology. 91. 90–96. 10 indexed citations
11.
Johnson, Aime K.. (2018). Assisted Reproduction in the Male Cat. Veterinary Clinics of North America Small Animal Practice. 48(4). 511–521. 9 indexed citations
12.
Johnson, Aime K.. (2018). Assisted Reproduction in the Female Cat. Veterinary Clinics of North America Small Animal Practice. 48(4). 523–531. 2 indexed citations
13.
Johnson, Aime K., et al.. (2016). Evaluation of chlorhexidine hydrochloride treatment on endometrial health of normal mares. Theriogenology. 88. 61–66. 1 indexed citations
14.
Choudhury, Sourav, Zachary Fitzpatrick, Stacy A. Maitland, et al.. (2016). In Vivo Selection Yields AAV-B1 Capsid for Central Nervous System and Muscle Gene Therapy. Molecular Therapy. 24(7). 1247–1257. 97 indexed citations
15.
Choudhury, Sourav, Damien J. Cabral, Allison M. Keeler, et al.. (2015). Widespread Central Nervous System Gene Transfer and Silencing After Systemic Delivery of Novel AAV-AS Vector. Molecular Therapy. 24(4). 726–735. 91 indexed citations
16.
Gray‐Edwards, Heather, Brandon L. Brunson, Merrilee Holland, et al.. (2015). Mucopolysaccharidosis-like phenotype in feline Sandhoff disease and partial correction after AAV gene therapy. Molecular Genetics and Metabolism. 116(1-2). 80–87. 22 indexed citations
17.
McCurdy, Victoria J., Hannah E. Rockwell, Allison M. Bradbury, et al.. (2014). Widespread correction of central nervous system disease after intracranial gene therapy in a feline model of Sandhoff disease. Gene Therapy. 22(2). 181–189. 50 indexed citations
18.
Pukazhenthi, Budhan S., Aime K. Johnson, H. D. Guthrie, et al.. (2014). Improved sperm cryosurvival in diluents containing amides versus glycerol in the Przewalski’s horse (Equus ferus przewalskii). Cryobiology. 68(2). 205–214. 31 indexed citations
19.
Bradbury, Allison M., Heather Gray‐Edwards, Jamie L. Shirley, et al.. (2014). Biomarkers for disease progression and AAV therapeutic efficacy in feline Sandhoff disease. Experimental Neurology. 263. 102–112. 25 indexed citations
20.
Bradbury, Allison M., J. Nicholas Cochran, Victoria J. McCurdy, et al.. (2013). Therapeutic Response in Feline Sandhoff Disease Despite Immunity to Intracranial Gene Therapy. Molecular Therapy. 21(7). 1306–1315. 63 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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