Kim O’Riley

401 total citations
9 papers, 214 citations indexed

About

Kim O’Riley is a scholar working on Infectious Diseases, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, Kim O’Riley has authored 9 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Epidemiology and 4 papers in Agronomy and Crop Science. Recurrent topics in Kim O’Riley's work include Influenza Virus Research Studies (5 papers), Viral Infections and Vectors (4 papers) and Animal Disease Management and Epidemiology (4 papers). Kim O’Riley is often cited by papers focused on Influenza Virus Research Studies (5 papers), Viral Infections and Vectors (4 papers) and Animal Disease Management and Epidemiology (4 papers). Kim O’Riley collaborates with scholars based in Australia, Singapore and Poland. Kim O’Riley's co-authors include Simone Warner, Dhanasekaran Vijaykrishna, KE ARZEY, Peter D. Kirkland, Aeron C. Hurt, Philip M. Hansbro, Emma Beckett, John P. Tracey, Björn Olsén and Paul Selleck and has published in prestigious journals such as Journal of Virology, Scientific Reports and Emerging infectious diseases.

In The Last Decade

Kim O’Riley

9 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kim O’Riley Australia	8	156	133	126	33	29	9	214
Akiko Kamata Italy	5	193 1.2×	179 1.3×	112 0.9×	30 0.9×	22 0.8×	8	256
Kazuaki Miyagishima Switzerland	5	164 1.1×	148 1.1×	107 0.8×	38 1.2×	22 0.8×	9	256
Audrey Schmitz France	11	264 1.7×	212 1.6×	188 1.5×	37 1.1×	28 1.0×	18	323
Atanaska Marinova‐Petkova United States	10	264 1.7×	195 1.5×	153 1.2×	47 1.4×	14 0.5×	12	308
Phouvong Phommachanh Laos	11	246 1.6×	188 1.4×	140 1.1×	31 0.9×	23 0.8×	21	321
Madhur Dhingra Italy	8	147 0.9×	135 1.0×	120 1.0×	30 0.9×	54 1.9×	18	239
Germaine L. Minoungou Japan	9	122 0.8×	96 0.7×	102 0.8×	28 0.8×	13 0.4×	11	183
C. Benigno Italy	4	178 1.1×	240 1.8×	106 0.8×	37 1.1×	29 1.0×	5	309
Karthik Shanmuganatham United States	10	293 1.9×	222 1.7×	188 1.5×	41 1.2×	13 0.4×	15	345
Gui‐Rong Bai Japan	10	334 2.1×	230 1.7×	180 1.4×	35 1.1×	12 0.4×	13	367

Countries citing papers authored by Kim O’Riley

Since Specialization

Citations

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

Fields of papers citing papers by Kim O’Riley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim O’Riley. 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 Kim O’Riley. The network helps show where Kim O’Riley may publish in the future.

Co-authorship network of co-authors of Kim O’Riley

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Cogan, Noel O. I., Aneta J. Gubala, Peter T. Mee, et al.. (2022). Rapid, in-field deployable, avian influenza virus haemagglutinin characterisation tool using MinION technology. Scientific Reports. 12(1). 11886–11886. 13 indexed citations

Shan, Songhua, K. Bruce, Frank Wong, et al.. (2021). In Vitro and In Vivo Characterization of a Pigeon Paramyxovirus Type 1 Isolated from Domestic Pigeons in Victoria, Australia 2011. Viruses. 13(3). 429–429. 7 indexed citations

Mee, Peter T., et al.. (2020). Field Verification of an African Swine Fever Virus Loop-Mediated Isothermal Amplification (LAMP) Assay during an Outbreak in Timor-Leste. Viruses. 12(12). 1444–1444. 20 indexed citations

Beckmann, Christa, Simone Warner, Richard Loyn, et al.. (2016). Avian influenza infection dynamics under variable climatic conditions, viral prevalence is rainfall driven in waterfowl from temperate, south-east Australia. Veterinary Research. 47(1). 23–23. 30 indexed citations

Vijaykrishna, Dhanasekaran, Yi‐Mo Deng, Yvonne C. F. Su, et al.. (2013). The Recent Establishment of North American H10 Lineage Influenza Viruses in Australian Wild Waterfowl and the Evolution of Australian Avian Influenza Viruses. Journal of Virology. 87(18). 10182–10189. 28 indexed citations

Mann, Rachel, et al.. (2013). Molecular characterization and phylogenetic analysis of Murray Valley encephalitis virus and West Nile virus (Kunjin subtype) from an arbovirus disease outbreak in horses in Victoria, Australia, in 2011. Journal of Veterinary Diagnostic Investigation. 25(1). 35–44. 17 indexed citations

Hansbro, Philip M., Simone Warner, John P. Tracey, et al.. (2010). Surveillance and Analysis of Avian Influenza Viruses, Australia. Emerging infectious diseases. 16(12). 1896–1904. 58 indexed citations

O’Riley, Kim, et al.. (2004). Detection of avian paramyxoviruses and influenza viruses amongst wild bird populations in Victoria. Australian Veterinary Journal. 82(1-2). 79–82. 32 indexed citations

O’Riley, Kim, et al.. (2002). Molecular characterisation of Victorian Newcastle disease virus isolates from 1976 to 1999. Australian Veterinary Journal. 80(7). 422–424. 9 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.

Explore authors with similar magnitude of impact