Timothy Spelman

1.7k total citations
28 papers, 895 citations indexed

About

Timothy Spelman is a scholar working on Epidemiology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Timothy Spelman has authored 28 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 10 papers in Pathology and Forensic Medicine and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Timothy Spelman's work include Multiple Sclerosis Research Studies (8 papers), Liver Disease Diagnosis and Treatment (6 papers) and Hepatitis B Virus Studies (6 papers). Timothy Spelman is often cited by papers focused on Multiple Sclerosis Research Studies (8 papers), Liver Disease Diagnosis and Treatment (6 papers) and Hepatitis B Virus Studies (6 papers). Timothy Spelman collaborates with scholars based in Australia, United States and Italy. Timothy Spelman's co-authors include Margaret Hellard, Campbell Aitken, Monica A. Slavin, Ashish Bajel, Helmut Butzkueven, Heidi E. Drummer, Samantha Tracy, Mandvi Bharadwaj, Karin Thursky and Jennifer A. Lewis and has published in prestigious journals such as Hepatology, Neurology and The Journal of Infectious Diseases.

In The Last Decade

Timothy Spelman

26 papers receiving 873 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy Spelman Australia 13 431 301 178 178 128 28 895
Ishmeet Kaur India 13 378 0.9× 80 0.3× 104 0.6× 109 0.6× 46 0.4× 84 683
Vittorio Rinaldi Italy 21 614 1.4× 56 0.2× 67 0.4× 523 2.9× 48 0.4× 76 1.6k
Caroline Dupont France 12 279 0.6× 362 1.2× 115 0.6× 111 0.6× 214 1.7× 27 897
Chris Fraser Australia 16 411 1.0× 108 0.4× 48 0.3× 270 1.5× 193 1.5× 42 1.0k
Wendy Cheng Australia 23 1.0k 2.4× 253 0.8× 62 0.3× 1.1k 6.2× 44 0.3× 67 1.6k
Thomas Harrer Germany 10 178 0.4× 213 0.7× 67 0.4× 19 0.1× 124 1.0× 12 854
Alexandre Fabre France 20 107 0.2× 191 0.6× 52 0.3× 30 0.2× 92 0.7× 81 1.2k
Stefania Ruzzante Italy 10 162 0.4× 222 0.7× 95 0.5× 25 0.1× 52 0.4× 13 725
Nening M. Nanlohy Netherlands 18 332 0.8× 127 0.4× 89 0.5× 81 0.5× 232 1.8× 39 894
Louise Jones United Kingdom 12 567 1.3× 63 0.2× 19 0.1× 244 1.4× 295 2.3× 18 933

Countries citing papers authored by Timothy Spelman

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Spelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Spelman

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy Spelman. A scholar is included among the top collaborators of Timothy Spelman 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 Timothy Spelman. Timothy Spelman 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.
Dargaville, Peter A., Leah Hickey, Michelle J. L. Scoullar, et al.. (2025). Evaluation of whole blood CD64 for identifying infection in neonates receiving hospital care. Frontiers in Immunology. 16. 1629223–1629223. 1 indexed citations
2.
Douglas, Abby, Daniel K. Yeoh, Miranda So, et al.. (2023). Validation of the Antifungal National Antimicrobial Prescribing Survey (AF-NAPS) quality assessment tool. Journal of Antimicrobial Chemotherapy. 78(6). 1367–1377. 3 indexed citations
3.
Spelman, Timothy, Paul Dietze, Mark Stoové, et al.. (2021). Patient‐reported outcomes of the Treatment and Prevention Study: A real‐world community‐based trial of direct‐acting antivirals for hepatitis C among people who inject drugs. Journal of Viral Hepatitis. 28(7). 1068–1077. 8 indexed citations
4.
5.
Allard, Nicole, et al.. (2020). Adherence in chronic hepatitis B: associations between medication possession ratio and adverse viral outcomes. BMC Gastroenterology. 20(1). 140–140. 12 indexed citations
6.
7.
Spelman, Timothy, et al.. (2017). The Association Between Disease Activity and Health-Related Quality of Life in RRMS Patients. Value in Health. 20(9). A728–A728. 1 indexed citations
8.
Trubiano, Jason A., Michael Dickinson, Karin Thursky, et al.. (2017). Incidence, etiology and timing of infections following azacitidine therapy for myelodysplastic syndromes. Leukemia & lymphoma. 58(10). 2379–2386. 22 indexed citations
9.
Kappos, Ludwig, Helmut Butzkueven, Heinz Wiendl, et al.. (2017). Greater sensitivity to multiple sclerosis disability worsening and progression events using a roving versus a fixed reference value in a prospective cohort study. Multiple Sclerosis Journal. 24(7). 963–973. 88 indexed citations
10.
Schulz, Mark R., et al.. (2017). Real World Evidence (RWE) on Long-Term Persistence of Fingolimod in Relapsing-Remitting Multiple Sclerosis (RRMS) in Australia. Value in Health. 20(9). A718–A719. 1 indexed citations
11.
Binder, Michele D., Andrew Fox, Daniel Merlo, et al.. (2016). Common and Low Frequency Variants in MERTK Are Independently Associated with Multiple Sclerosis Susceptibility with Discordant Association Dependent upon HLA-DRB1*15:01 Status. PLoS Genetics. 12(3). e1005853–e1005853. 49 indexed citations
12.
Sacks‐Davis, Rachel, Jason Grebely, Gregory J. Dore, et al.. (2015). Hepatitis C Virus Reinfection and Spontaneous Clearance of Reinfection—the InC3Study. The Journal of Infectious Diseases. 212(9). 1407–1419. 69 indexed citations
13.
Harrison, Leonard C., et al.. (2014). A randomised controlled trial of high dose vitamin D in recent-onset type 2 diabetes. Diabetes Research and Clinical Practice. 106(3). 576–582. 33 indexed citations
14.
Giles, Michelle, Kumar Visvanathan, Sharon R. Lewin, et al.. (2013). Clinical and virological factors that predict post partum flares in pregnant women with chronic HBV. Hepatology. 58. 1 indexed citations
15.
Spelman, Timothy, Fabio Pellegrini, Annie Zhang, et al.. (2013). Comparison of Patients Treated with Natalizumab and Interferon-beta/Glatiramer Using Propensity-Matched Multiple Sclerosis Registry Data (P01.211). Neurology. 80(7_supplement). 4 indexed citations
16.
Morrissey, C. Orla, Sharon C.‐A. Chen, Tania C. Sorrell, et al.. (2013). Galactomannan and PCR versus culture and histology for directing use of antifungal treatment for invasive aspergillosis in high-risk haematology patients: a randomised controlled trial. The Lancet Infectious Diseases. 13(6). 519–528. 170 indexed citations
17.
Hughes, Stella, et al.. (2012). The Kurtzke EDSS rank stability increases 4 years after the onset of multiple sclerosis: results from the MSBase Registry.. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 30 indexed citations
18.
19.
Gold, Judy, Campbell Aitken, Helen Dixon, et al.. (2011). A randomised controlled trial using mobile advertising to promote safer sex and sun safety to young people. Health Education Research. 26(5). 782–794. 93 indexed citations
20.
Aitken, Campbell, Jennifer A. Lewis, Samantha Tracy, et al.. (2008). High incidence of hepatitis C virus reinfection in a cohort of injecting drug users. Hepatology. 48(6). 1746–1752. 106 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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