Jessica Day

2.7k total citations
47 papers, 658 citations indexed

About

Jessica Day is a scholar working on Epidemiology, Neurology and Surgery. According to data from OpenAlex, Jessica Day has authored 47 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 15 papers in Neurology and 8 papers in Surgery. Recurrent topics in Jessica Day's work include Inflammatory Myopathies and Dermatomyositis (24 papers), Parkinson's Disease and Spinal Disorders (7 papers) and Muscle and Compartmental Disorders (6 papers). Jessica Day is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (24 papers), Parkinson's Disease and Spinal Disorders (7 papers) and Muscle and Compartmental Disorders (6 papers). Jessica Day collaborates with scholars based in Australia, United Kingdom and United States. Jessica Day's co-authors include Vidya Limaye, Elizabeta Nemeth, Mary Dawn Koenig, Lisa Tussing‐Humphreys, Ian P. Wicks, Sandy Patel, Cynthia Louis, Jessica Fairley, Sophia Otto and Yuyan Yang and has published in prestigious journals such as Nature Communications, PLoS ONE and Cell Death and Differentiation.

In The Last Decade

Jessica Day

36 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jessica Day Australia 13 345 139 134 117 107 47 658
Regina Peri Israel 14 223 0.6× 101 0.7× 85 0.6× 115 1.0× 512 4.8× 24 976
Isabelle Melki France 15 164 0.5× 275 2.0× 156 1.2× 268 2.3× 285 2.7× 69 875
Mario Giordano Italy 15 109 0.3× 87 0.6× 65 0.5× 57 0.5× 115 1.1× 61 662
Isabelle Hau France 11 140 0.4× 64 0.5× 268 2.0× 41 0.4× 74 0.7× 51 683
Masataka Ishimura Japan 16 113 0.3× 87 0.6× 234 1.7× 76 0.6× 284 2.7× 97 744
Satya Prakash Yadav India 12 134 0.4× 159 1.1× 155 1.2× 23 0.2× 101 0.9× 98 627
K. Mazodier France 12 72 0.2× 184 1.3× 307 2.3× 100 0.9× 275 2.6× 37 743
J. Grulich‐Henn Germany 16 181 0.5× 142 1.0× 81 0.6× 30 0.3× 25 0.2× 36 846
Shigeru Tanaka Japan 18 113 0.3× 221 1.6× 64 0.5× 200 1.7× 349 3.3× 59 963
Óscar Cabrera-Marante Spain 14 68 0.2× 56 0.4× 81 0.6× 130 1.1× 181 1.7× 26 582

Countries citing papers authored by Jessica Day

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Day

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Day. A scholar is included among the top collaborators of Jessica Day 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 Jessica Day. Jessica Day 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.
Oon, Shereen, et al.. (2025). Imaging findings of scleroderma-associated myopathy: A systematic literature review. Seminars in Arthritis and Rheumatism. 72. 152672–152672.
2.
Ross, Laura & Jessica Day. (2025). Mandatory research projects during medical specialist training in Australia and New Zealand. The Medical Journal of Australia. 223(11). 676–676.
3.
Spitz, Alison M., et al.. (2025). Racial/Ethnic differences in emergency department triage assignment among visits for substance use. PLoS ONE. 20(8). e0329376–e0329376.
4.
Day, Jessica, Cynthia Louis, Kristy Swiderski, et al.. (2025). Periarticular myositis and muscle fibrosis are cytokine-dependent complications of inflammatory arthritis. JCI Insight. 10(7).
5.
Oon, Shereen, et al.. (2024). Patient experiences of muscle biopsy in idiopathic inflammatory myopathies: a cross-sectional survey. Rheumatology International. 44(10). 2129–2137.
6.
Santos, C. Sieiro, Elena Nikiphorou, Chih‐Wei Tseng, et al.. (2024). Breakthrough SARS-CoV-2 infection and disease flares in patients with rheumatoid arthritis: result from COVAD e-survey study. Rheumatology International. 44(5). 805–817. 2 indexed citations
7.
Nikpour, Mandana, et al.. (2024). Diagnosing and characterizing inflammatory myopathies at an Australian tertiary public hospital: Resource utilization and direct healthcare costs. International Journal of Rheumatic Diseases. 27(4). e15153–e15153.
8.
9.
Kerkhof, Peter, et al.. (2024). Content analysis of patient support groups related to myositis on Facebook. Clinical Rheumatology. 43(2). 725–732. 3 indexed citations
10.
Martin, Katherine, Jessica Day, Damian B. D’Silva, et al.. (2023). CD98 defines a metabolically flexible, proinflammatory subset of low‐density neutrophils in systemic lupus erythematosus. Clinical and Translational Medicine. 13(1). e1150–e1150. 9 indexed citations
11.
Ravichandran, N., Parikshit Sen, Jessica Day, et al.. (2023). POS1215 FLARES AFTER COVID-19 INFECTION IN PATIENTS WITH IDIOPATHIC INFLAMMATORY MYOPATHIES: RESULTS FROM THE COVAD STUDY. Annals of the Rheumatic Diseases. 82. 941–942. 2 indexed citations
12.
Sen, Parikshit, R Naveen, Arvind Nune, et al.. (2023). Post-COVID-19 condition in patients with autoimmune rheumatic diseases: the COVID-19 Vaccination in Autoimmune Diseases (COVAD) study. The Lancet Rheumatology. 5(5). e247–e250. 6 indexed citations
13.
Ross, Laura, B. Costello, Dylan Hansen, et al.. (2022). Using magnetic resonance imaging to map the hidden burden of muscle involvement in systemic sclerosis. Arthritis Research & Therapy. 24(1). 84–84. 10 indexed citations
14.
Galindo‐Feria, Angeles S., Begum Horuluoglu, Jessica Day, et al.. (2022). Autoantibodies against four-and-a-half-LIM domain 1 (FHL1) in inflammatory myopathies: results from an Australian single-centre cohort. Lara D. Veeken. 61(10). 4145–4154. 9 indexed citations
15.
Fairley, Jessica, et al.. (2022). Defining the clinical utility of PET or PET-CT in idiopathic inflammatory myopathies: A systematic literature review. Seminars in Arthritis and Rheumatism. 57. 152107–152107. 14 indexed citations
16.
Day, Jessica, Baharak Afshar, Richard S. Rowlands, et al.. (2021). Molecular exploration for Mycoplasma amphoriforme, Mycoplasma fermentans and Ureaplasma spp. in patient samples previously investigated for Mycoplasma pneumoniae infection. Clinical Microbiology and Infection. 27(11). 1697.e1–1697.e5. 3 indexed citations
17.
Day, Jessica, et al.. (2020). Clinical and histological features of immune-mediated necrotising myopathy: A multi-centre South Australian cohort study. Neuromuscular Disorders. 30(3). 186–199. 19 indexed citations
18.
Day, Jessica, Vidya Limaye, Susanna Proudman, John D. Hayball, & Pravin Hissaria. (2017). The utility of monitoring peripheral blood lymphocyte subsets by flow cytometric analysis in patients with rheumatological diseases treated with rituximab. Autoimmunity Reviews. 16(5). 542–547. 6 indexed citations
19.
Koenig, Mary Dawn, et al.. (2014). Hepcidin and Iron Homeostasis during Pregnancy. Nutrients. 6(8). 3062–3083. 137 indexed citations
20.
Day, Jessica. (2009). Waitangi Tribunal History: Interpretations and Counter-facts. 15. 205. 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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