Penelope J. Spring

597 total citations
9 papers, 355 citations indexed

About

Penelope J. Spring is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Penelope J. Spring has authored 9 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 3 papers in Neurology and 2 papers in Molecular Biology. Recurrent topics in Penelope J. Spring's work include Hereditary Neurological Disorders (3 papers), Neurological diseases and metabolism (2 papers) and Peripheral Neuropathies and Disorders (2 papers). Penelope J. Spring is often cited by papers focused on Hereditary Neurological Disorders (3 papers), Neurological diseases and metabolism (2 papers) and Peripheral Neuropathies and Disorders (2 papers). Penelope J. Spring collaborates with scholars based in Australia, United Kingdom and New Zealand. Penelope J. Spring's co-authors include John D. Pollard, J. G. McLeod, Petra Macaskill, Vikram Khurana, Ahmad Rithauddin Mohamed, Alvin Ing, Cindy Kok, Garth A. Nicholson, Judith Spies and Marina Kennerson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain and Annals of Neurology.

In The Last Decade

Penelope J. Spring

8 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Penelope J. Spring Australia 6 176 170 75 65 62 9 355
Bum Chun Suh South Korea 12 191 1.1× 194 1.1× 39 0.5× 32 0.5× 30 0.5× 44 451
Rami Massie Canada 11 104 0.6× 165 1.0× 75 1.0× 124 1.9× 44 0.7× 27 454
Jean‐François Hurtevent France 10 71 0.4× 80 0.5× 63 0.8× 130 2.0× 95 1.5× 23 324
Juan Antonio Martı́nez-Matos Spain 13 238 1.4× 278 1.6× 39 0.5× 37 0.6× 32 0.5× 23 553
S Riku Japan 12 174 1.0× 186 1.1× 43 0.6× 38 0.6× 26 0.4× 26 431
JaNean Engelstad United States 12 129 0.7× 288 1.7× 111 1.5× 59 0.9× 93 1.5× 32 411
Takayoshi Shinya Japan 11 79 0.4× 238 1.4× 29 0.4× 81 1.2× 175 2.8× 48 527
Shuo Gao China 13 44 0.3× 135 0.8× 103 1.4× 56 0.9× 56 0.9× 28 368
John R. Warmolts United States 11 90 0.5× 325 1.9× 87 1.2× 39 0.6× 25 0.4× 15 531
J. M. MacKenzie United Kingdom 10 41 0.2× 174 1.0× 89 1.2× 74 1.1× 22 0.4× 24 396

Countries citing papers authored by Penelope J. Spring

Since Specialization
Citations

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

Fields of papers citing papers by Penelope J. Spring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Penelope J. Spring

This figure shows the co-authorship network connecting the top 25 collaborators of Penelope J. Spring. A scholar is included among the top collaborators of Penelope J. Spring 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 Penelope J. Spring. Penelope J. Spring 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.
Say, Miranda J., Penelope J. Spring, & Todd A. Hardy. (2021). Longitudinal improvement in neuropsychological profile following treatment of severe encephalopathy in Susac syndrome. 1. 100017–100017. 3 indexed citations
2.
Anderson, Craig S., et al.. (2021). 064 False positive RT-QuIC test for creutzfeldt jakob disease in dementia with status epilepticus. SHILAP Revista de lepidopterología. A23.2–A23.
3.
Lubomski, Michal, et al.. (2018). 038 Adult-onset leukoencephalopathy with neuroaxonal spheroids and pigmented glia mimicking systemic lupus erythematosus cerebral vasculitis. Journal of Neurology Neurosurgery & Psychiatry. 89(6). A16.1–A16. 1 indexed citations
4.
Plummer, Chris, Penelope J. Spring, Rosetta Marotta, et al.. (2013). Multiple Symmetrical Lipomatosis — A mitochondrial disorder of brown fat. Mitochondrion. 13(4). 269–276. 60 indexed citations
5.
Shingde, Meena, Penelope J. Spring, E. J. Wills, et al.. (2006). Myosin storage (hyaline body) myopathy: A case report. Neuromuscular Disorders. 16(12). 882–886. 23 indexed citations
6.
Spring, Penelope J., Cindy Kok, Garth A. Nicholson, et al.. (2005). Autosomal dominant hereditary sensory neuropathy with chronic cough and gastro-oesophageal reflux: clinical features in two families linked to chromosome 3p22–p24. Brain. 128(12). 2797–2810. 50 indexed citations
7.
Kok, Cindy, Marina Kennerson, Penelope J. Spring, et al.. (2003). A Locus for Hereditary Sensory Neuropathy with Cough and Gastroesophageal Reflux on Chromosome 3p22-p24. The American Journal of Human Genetics. 73(3). 632–637. 49 indexed citations
8.
Spring, Penelope J. & Judith Spies. (2001). Myasthenia Gravis. BioDrugs. 15(3). 173–183. 15 indexed citations
9.
McLeod, J. G., John D. Pollard, Petra Macaskill, et al.. (1999). Prevalence of chronic inflammatory demyelinating polyneuropathy in New South Wales, Australia. Annals of Neurology. 46(6). 910–913. 154 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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