Philippa J. Johnson

640 total citations
34 papers, 388 citations indexed

About

Philippa J. Johnson is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Small Animals. According to data from OpenAlex, Philippa J. Johnson has authored 34 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 11 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Small Animals. Recurrent topics in Philippa J. Johnson's work include Advanced Neuroimaging Techniques and Applications (10 papers), Veterinary Orthopedics and Neurology (6 papers) and Veterinary Oncology Research (6 papers). Philippa J. Johnson is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (10 papers), Veterinary Orthopedics and Neurology (6 papers) and Veterinary Oncology Research (6 papers). Philippa J. Johnson collaborates with scholars based in United States, United Kingdom and Canada. Philippa J. Johnson's co-authors include Erica F. Barry, Wen‐Ming Luh, Ruth Dennis, John P. Loftus, Andrew White, Pascaline Pey, Kathleen Graham, Elsa Beltrán, Mark Rishniw and Olivier Taeymans and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Technometrics.

In The Last Decade

Philippa J. Johnson

32 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippa J. Johnson United States 12 140 77 76 72 58 34 388
Marc Kent United States 11 118 0.8× 76 1.0× 54 0.7× 26 0.4× 22 0.4× 25 396
Joan Mascort Spain 15 55 0.4× 62 0.8× 61 0.8× 29 0.4× 24 0.4× 27 525
Ingrid Gielen Belgium 17 253 1.8× 186 2.4× 141 1.9× 58 0.8× 29 0.5× 69 713
Michelle Webster United Kingdom 15 105 0.8× 48 0.6× 33 0.4× 35 0.5× 34 0.6× 20 1.1k
Roberto Poma Canada 16 82 0.6× 84 1.1× 33 0.4× 26 0.4× 60 1.0× 25 519
Annette Wessmann United Kingdom 14 150 1.1× 97 1.3× 83 1.1× 43 0.6× 7 0.1× 42 587
Mark Lowrie United Kingdom 19 223 1.6× 170 2.2× 148 1.9× 27 0.4× 19 0.3× 77 934
Nele Ondreka Germany 12 83 0.6× 119 1.5× 48 0.6× 33 0.5× 8 0.1× 27 390
Yen‐Fu Cheng Taiwan 17 33 0.2× 91 1.2× 67 0.9× 29 0.4× 179 3.1× 98 834
E. Klemm Germany 15 56 0.4× 72 0.9× 67 0.9× 145 2.0× 105 1.8× 50 718

Countries citing papers authored by Philippa J. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Philippa J. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippa J. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Philippa J. Johnson. A scholar is included among the top collaborators of Philippa J. 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 Philippa J. Johnson. Philippa J. 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.
Roumazeilles, Léa, Mads F. Bertelsen, Simon Spiro, et al.. (2025). Between-species variation in neocortical sulcal anatomy of the carnivoran brain. eLife. 13.
2.
Johnson, Philippa J., et al.. (2022). Relationship between histological tumor margins and magnetic resonance imaging signal intensities in brain neoplasia of dogs. Journal of Veterinary Internal Medicine. 36(3). 1039–1048. 8 indexed citations
3.
Horowitz, Alexandra, et al.. (2022). Extensive Connections of the Canine Olfactory Pathway Revealed by Tractography and Dissection. Journal of Neuroscience. 42(33). 6392–6407. 21 indexed citations
4.
Porter, Ian, et al.. (2022). Serial evaluation of thoracic radiographs and acute phase proteins in dogs with pneumonia. Journal of Veterinary Internal Medicine. 36(4). 1430–1443. 7 indexed citations
5.
Johnson, Philippa J., et al.. (2022). Association of hydromyelia and acute compressive myelopathy caused by intervertebral disc extrusion in dogs. Journal of Veterinary Internal Medicine. 36(3). 1049–1056. 2 indexed citations
6.
Barry, Erica F., John P. Loftus, Wen‐Ming Luh, et al.. (2021). Diffusion tensor-based analysis of white matter in the healthy aging canine brain. Neurobiology of Aging. 105. 129–136. 8 indexed citations
7.
8.
Thompson, Margret S., et al.. (2021). Prevalence of Brain Magnetic Resonance Imaging Diagnoses and Correlation With Signalment and Presenting Complaint in Dogs. Frontiers in Veterinary Science. 8. 768709–768709. 3 indexed citations
9.
10.
Johnson, Philippa J., Wen‐Ming Luh, Kathleen Graham, et al.. (2020). Stereotactic Cortical Atlas of the Domestic Canine Brain. Scientific Reports. 10(1). 4781–4781. 38 indexed citations
11.
Johnson, Philippa J., et al.. (2020). Stereotaxic Diffusion Tensor Imaging White Matter Atlas for the in vivo Domestic Feline Brain. Frontiers in Neuroanatomy. 14. 1–1. 18 indexed citations
12.
Barrett, Rachel, Matthew Dawson, Tim B. Dyrby, et al.. (2020). Differences in Frontal Network Anatomy Across Primate Species. Journal of Neuroscience. 40(10). 2094–2107. 36 indexed citations
13.
Wang, Yuyan, David W. Gludish, Kei Hayashi, et al.. (2020). Synovial fluid lubricin increases in spontaneous canine cruciate ligament rupture. Scientific Reports. 10(1). 16725–16725. 10 indexed citations
14.
Johnson, Philippa J., Andrew D. Miller, Jonathan Cheetham, et al.. (2020). In vivo detection of microstructural spinal cord lesions in dogs with degenerative myelopathy using diffusion tensor imaging. Journal of Veterinary Internal Medicine. 35(1). 352–362. 7 indexed citations
15.
Wang, Yi, David W. Gludish, Kei Hayashi, et al.. (2019). Synovial fluid lubricin increases in canine cruciate ligament rupture. Osteoarthritis and Cartilage. 27. S470–S471. 1 indexed citations
16.
Johnson, Philippa J., Erica F. Barry, Wen‐Ming Luh, & Emma Davies. (2018). The use of diffusion tractography to characterize a corpus callosum malformation in a dog. Journal of Veterinary Internal Medicine. 33(2). 743–750. 4 indexed citations
17.
Johnson, Philippa J., et al.. (2012). CLINICAL, MORPHOLOGIC, AND MORPHOMETRIC FEATURES OF CRANIAL THORACIC SPINAL STENOSIS IN LARGE AND GIANT BREED DOGS. Veterinary Radiology & Ultrasound. 53(5). 524–534. 10 indexed citations
18.
Dennison, Sophie, William M. Adams, Philippa J. Johnson, Brian S. Yandell, & Joanne Paul‐Murphy. (2009). PROGNOSTIC ACCURACY OF THE PROVENTRICULUS: KEEL RATIO FOR SHORT‐TERM SURVIVAL IN PSITTACINES WITH PROVENTRICULAR DISEASE. Veterinary Radiology & Ultrasound. 50(5). 483–486. 9 indexed citations
19.
Johnson, Philippa J., et al.. (1997). Family law reports. 4 indexed citations
20.
Shumway, Robert H., Arash Azari, & Philippa J. Johnson. (1989). Estimating Mean Concentrations under Transformation for Environmental Data with Detection Limits. Technometrics. 31(3). 347–347. 16 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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