C. J. E. Suster

9.9k total citations
10 papers, 28 citations indexed

About

C. J. E. Suster is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, C. J. E. Suster has authored 10 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in C. J. E. Suster's work include Sepsis Diagnosis and Treatment (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Bacteriophages and microbial interactions (2 papers). C. J. E. Suster is often cited by papers focused on Sepsis Diagnosis and Treatment (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Bacteriophages and microbial interactions (2 papers). C. J. E. Suster collaborates with scholars based in Australia and Uganda. C. J. E. Suster's co-authors include Vitali Sintchenko, Jen Kok, Mailie Gall, S. Liang, Amith Shetty, Alexander P. Drew, Steven A. Frost, Stephen McNally, Deborah Hatcher and Anthony Delaney and has published in prestigious journals such as Scientific Data, Epidemiology and Infection and Frontiers in Public Health.

In The Last Decade

C. J. E. Suster

9 papers receiving 28 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. J. E. Suster Australia	3	12	10	6	4	4	10	28
Salud Rodríguez-Pallares Spain	6	14 1.2×	9 0.9×	7 1.2×	2 0.5×	3 0.8×	16	55
Angelo Maccaro Italy	4	10 0.8×	8 0.8×	8 1.3×	6 1.5×		7	36
Barbora Žaloudíková Czechia	5	24 2.0×	9 0.9×	17 2.8×	6 1.5×	2 0.5×	7	43
B. Martha France	4	24 2.0×	6 0.6×	9 1.5×	10 2.5×	3 0.8×	6	40
Faustinos Tatenda Takawira Zimbabwe	3	21 1.8×	10 1.0×	23 3.8×	9 2.3×	2 0.5×	5	39
Neil Cunningham United Kingdom	4	7 0.6×	7 0.7×	7 1.2×	1 0.3×	2 0.5×	8	34
Anuradha Agarwal India	3	10 0.8×	5 0.5×	6 1.0×	7 1.8×		7	23
Cécile Pouderoux France	3	8 0.7×	11 1.1×	14 2.3×	7 1.8×	1 0.3×	5	32
M. G. Wilson United States	2	11 0.9×	6 0.6×	7 1.2×	7 1.8×	2 0.5×	3	41
Jeremy Sizer United Kingdom	2	11 0.9×	13 1.3×	14 2.3×	9 2.3×		3	48

Countries citing papers authored by C. J. E. Suster

Since Specialization

Citations

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

Fields of papers citing papers by C. J. E. Suster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. J. E. Suster. 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 C. J. E. Suster. The network helps show where C. J. E. Suster may publish in the future.

Co-authorship network of co-authors of C. J. E. Suster

This figure shows the co-authorship network connecting the top 25 collaborators of C. J. E. Suster. A scholar is included among the top collaborators of C. J. E. Suster 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 C. J. E. Suster. C. J. E. Suster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Sintchenko, Vitali, Eby Sim, & C. J. E. Suster. (2025). Estimating the deferred value of pathogen genomic data for secondary use. Scientific Data. 12(1). 784–784. 1 indexed citations

Suster, C. J. E., et al.. (2024). Emerging applications of artificial intelligence in pathogen genomics. 3. 7 indexed citations

Suster, C. J. E., et al.. (2024). Combined visualization of genomic and epidemiological data for outbreaks. Epidemiology and Infection. 152. e110–e110.

Chang, Sheryl L., C. J. E. Suster, Rebecca J. Rockett, et al.. (2023). Genome entropy and network centrality contrast exploration and exploitation in evolution of foodborne pathogens. Physical Biology. 20(4). 46006–46006. 1 indexed citations

Lam, Connie, Kerri Basile, C. J. E. Suster, et al.. (2023). A laboratory framework for ongoing optimization of amplification-based genomic surveillance programs. Microbiology Spectrum. 11(6). e0220223–e0220223. 2 indexed citations

Svahn, Adam J., C. J. E. Suster, Sheryl L. Chang, et al.. (2023). Pangenome Analysis of a Salmonella Enteritidis Population Links a Major Outbreak to a Gifsy-1-Like Prophage Containing Anti-Inflammatory Gene gogB. Microbiology Spectrum. 11(2). e0279122–e0279122. 2 indexed citations

Shetty, Amith, et al.. (2022). Association between timing and adequacy of antibiotics and adverse outcomes in patients with sepsis and septic shock: A multicentre retrospective cohort study. Emergency Medicine Australasia. 35(2). 325–332. 2 indexed citations

Suster, C. J. E., Alicia Arnott, Grace A. Blackwell, et al.. (2022). Guiding the design of SARS-CoV-2 genomic surveillance by estimating the resolution of outbreak detection. Frontiers in Public Health. 10. 1004201–1004201. 5 indexed citations

Frost, Steven A., et al.. (2022). Identifying factors associated with intravenous fluid administration in patients with sepsis presenting to the emergency department: a retrospective cohort study. BMC Emergency Medicine. 22(1). 98–98. 2 indexed citations

10.

Liang, S., Anthony Delaney, Stephen Macdonald, et al.. (2021). Association between intravenous fluid resuscitation and outcome among patients with suspected infection and sepsis: A retrospective cohort study. Emergency Medicine Australasia. 34(3). 361–369. 6 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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