Nigel J. McLeish

405 total citations
8 papers, 264 citations indexed

About

Nigel J. McLeish is a scholar working on Infectious Diseases, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Nigel J. McLeish has authored 8 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Epidemiology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Nigel J. McLeish's work include Viral Infections and Immunology Research (4 papers), Respiratory viral infections research (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Nigel J. McLeish is often cited by papers focused on Viral Infections and Immunology Research (4 papers), Respiratory viral infections research (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Nigel J. McLeish collaborates with scholars based in United Kingdom, Canada and Netherlands. Nigel J. McLeish's co-authors include Peter Simmonds, Kate Templeton, Heli Harvala, Chloe McIntyre, E. Carol McWilliam Leitch, Rory Gunson, Dimitrios Kaloudas, Glyn Stanway, Merja Roivainen and Çiğdem H. Williams and has published in prestigious journals such as PLoS ONE, Journal of Virology and Journal of Clinical Microbiology.

In The Last Decade

Nigel J. McLeish

8 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nigel J. McLeish United Kingdom	7	158	155	138	52	26	8	264
Heather Peters United States	6	227 1.4×	247 1.6×	148 1.1×	87 1.7×	30 1.2×	6	356
Е. О. Самойлович Belarus	12	217 1.4×	166 1.1×	103 0.7×	26 0.5×	29 1.1×	27	289
Martin E. Seipel United States	2	146 0.9×	209 1.3×	115 0.8×	64 1.2×	9 0.3×	2	283
Peter Buontempo United States	9	204 1.3×	159 1.0×	99 0.7×	89 1.7×	18 0.7×	16	366
Yuqiong Que China	8	104 0.7×	141 0.9×	67 0.5×	65 1.3×	15 0.6×	11	216
D.C. Pevear United States	7	173 1.1×	200 1.3×	227 1.6×	96 1.8×	24 0.9×	9	429
Ivanildo P. Sousa Brazil	13	154 1.0×	156 1.0×	105 0.8×	72 1.4×	19 0.7×	25	294
Bingfu Jiang Germany	9	95 0.6×	63 0.4×	221 1.6×	77 1.5×	18 0.7×	13	338
Hangchun Zhang United States	5	166 1.1×	242 1.6×	131 0.9×	197 3.8×	36 1.4×	7	501
N. Stella Cuervo France	3	218 1.4×	226 1.5×	64 0.5×	46 0.9×	63 2.4×	4	315

Countries citing papers authored by Nigel J. McLeish

Since Specialization

Citations

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

Fields of papers citing papers by Nigel J. McLeish

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nigel J. McLeish

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

All Works

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8 of 8 papers shown

Coombs, Kevin M., et al.. (2019). Aptamer Profiling of A549 Cells Infected with Low-Pathogenicity and High-Pathogenicity Influenza Viruses. Viruses. 11(11). 1028–1028. 5 indexed citations

Zhang, Wei, Ben A. Bailey-Elkin, Robert C. M. Knaap, et al.. (2017). Potent and selective inhibition of pathogenic viruses by engineered ubiquitin variants. PLoS Pathogens. 13(5). e1006372–e1006372. 46 indexed citations

Harvala, Heli, Chloe McIntyre, Nigel J. McLeish, et al.. (2012). High detection frequency and viral loads of human rhinovirus species A to C in fecal samples; diagnostic and clinical implications. Journal of Medical Virology. 84(3). 536–542. 48 indexed citations

Lycett, Samantha, Nigel J. McLeish, Christopher Robertson, et al.. (2012). Origin and fate of A/H1N1 influenza in Scotland during 2009. Journal of General Virology. 93(6). 1253–1260. 11 indexed citations

McLeish, Nigel J., Çiğdem H. Williams, Dimitrios Kaloudas, Merja Roivainen, & Glyn Stanway. (2012). Symmetry-Related Clustering of Positive Charges Is a Common Mechanism for Heparan Sulfate Binding in Enteroviruses. Journal of Virology. 86(20). 11163–11170. 28 indexed citations

Harvala, Heli, Nigel J. McLeish, Chloe McIntyre, et al.. (2011). Comparison of human parechovirus and enterovirus detection frequencies in cerebrospinal fluid samples collected over a 5‐year period in edinburgh: HPeV type 3 identified as the most common picornavirus type. Journal of Medical Virology. 83(5). 889–896. 85 indexed citations

McLeish, Nigel J., Peter Simmonds, Chris Robertson, et al.. (2011). Sero-Prevalence and Incidence of A/H1N1 2009 Influenza Infection in Scotland in Winter 2009–2010. PLoS ONE. 6(6). e20358–e20358. 10 indexed citations

Bennett, Susan E., Heli Harvala, Jeroen Witteveldt, et al.. (2011). Rapid Simultaneous Detection of Enterovirus and Parechovirus RNAs in Clinical Samples by One-Step Real-Time Reverse Transcription-PCR Assay. Journal of Clinical Microbiology. 49(7). 2620–2624. 31 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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