Joseph Mellor

4.2k total citations
33 papers, 1.1k citations indexed

About

Joseph Mellor is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Joseph Mellor has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Joseph Mellor's work include Bioinformatics and Genomic Networks (8 papers), Genomics and Phylogenetic Studies (6 papers) and Diabetes Management and Research (5 papers). Joseph Mellor is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Genomics and Phylogenetic Studies (6 papers) and Diabetes Management and Research (5 papers). Joseph Mellor collaborates with scholars based in United States, United Kingdom and Canada. Joseph Mellor's co-authors include Charles DeLisi, Frederick P. Roth, Jie Wu, Zhenjun Hu, Corey Nislow, Guri Giaever, Michael J. Thompson, Lawrence E. Heisler, Mark S. Chee and Fiona Kaper and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Diabetes Care.

In The Last Decade

Joseph Mellor

33 papers receiving 1.1k citations

Peers

Joseph Mellor

GENET

EPIDE

Johan Rung United Kingdom

Shumin Li China

Abhay Jere India

Carlos Alberto Vanegas Prieto Spain

Osbaldo Reséndis-Antonio Mexico

Shiva Kumar India

Yu‐Feng Huang China

Sangwon Lee South Korea

Misha Kapushesky United Kingdom

Marcin von Grotthuss United States

Johan Rung United Kingdom

Joseph Mellor

950 ×1.1

218 ×1.3

GENET

63 ×0.5

EPIDE

154 ×1.7

79 ×0.9

Citations per year, relative to Joseph Mellor Joseph Mellor (= 1×) peers Johan Rung

Countries citing papers authored by Joseph Mellor

Since Specialization

Citations

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

Fields of papers citing papers by Joseph Mellor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Mellor

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

All Works

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20 of 20 papers shown

McGurnaghan, Stuart J., Luke A. K. Blackbourn, Joseph Mellor, et al.. (2024). Ongoing burden and recent trends in severe hospitalised hypoglycaemia events in people with type 1 and type 2 diabetes in Scotland: A nationwide cohort study 2016–2022. Diabetes Research and Clinical Practice. 210. 111642–111642. 4 indexed citations

Mellor, Joseph, Alan Fleming, Stuart J. McGurnaghan, et al.. (2024). Prediction of retinopathy progression using deep learning on retinal images within the Scottish screening programme. British Journal of Ophthalmology. 108(6). 833–839. 3 indexed citations

Mellor, Joseph, Dmitry Kuznetsov, Simon Heller, et al.. (2024). Estimating risk of consequences following hypoglycaemia exposure using the Hypo-RESOLVE cohort: a secondary analysis of pooled data from insulin clinical trials. Diabetologia. 67(10). 2210–2224. 2 indexed citations

McGurnaghan, Stuart J., Paul McKeigue, Luke A. K. Blackbourn, et al.. (2024). Impact of COVID-19 and Non-COVID-19 Hospitalized Pneumonia on Longer-Term Cardiovascular Mortality in People With Type 2 Diabetes: A Nationwide Prospective Cohort Study From Scotland. Diabetes Care. 47(8). 1342–1349. 3 indexed citations

Mellor, Joseph, Dmitry Kuznetsov, Simon Heller, et al.. (2024). Risk factors and prediction of hypoglycaemia using the Hypo-RESOLVE cohort: a secondary analysis of pooled data from insulin clinical trials. Diabetologia. 67(8). 1588–1601. 2 indexed citations

Mellor, Joseph, Alan Fleming, Stuart J. McGurnaghan, et al.. (2023). Can deep learning on retinal images augment known risk factors for cardiovascular disease prediction in diabetes? A prospective cohort study from the national screening programme in Scotland. International Journal of Medical Informatics. 175. 105072–105072. 13 indexed citations

McGurnaghan, Stuart J., Luke A. K. Blackbourn, Thomas M. Caparrotta, et al.. (2022). Cohort profile: the Scottish Diabetes Research Network national diabetes cohort – a population-based cohort of people with diabetes in Scotland. BMJ Open. 12(10). e063046–e063046. 15 indexed citations

Höhn, Andreas, Stuart J. McGurnaghan, Thomas M. Caparrotta, et al.. (2022). Large socioeconomic gap in period life expectancy and life years spent with complications of diabetes in the Scottish population with type 1 diabetes, 2013–2018. PLoS ONE. 17(8). e0271110–e0271110. 4 indexed citations

McGurnaghan, Stuart J., Paul McKeigue, Stephanie H. Read, et al.. (2021). Development and validation of a cardiovascular risk prediction model in type 1 diabetes. Diabetologia. 64(9). 2001–2011. 31 indexed citations

10.

O’Reilly, Joseph, Anita Jeyam, Thomas M. Caparrotta, et al.. (2021). Rising Rates and Widening Socioeconomic Disparities in Diabetic Ketoacidosis in Type 1 Diabetes in Scotland: A Nationwide Retrospective Cohort Observational Study. Diabetes Care. 44(9). 2010–2017. 16 indexed citations

11.

Gebbia, Marinella, Atina G. Coté, Jamie Snider, et al.. (2019). Highly Combinatorial Genetic Interaction Analysis Reveals a Multi-Drug Transporter Influence Network. Cell Systems. 10(1). 25–38.e10. 14 indexed citations

12.

Mellor, Joseph, Michael A. Stone, & John Keane. (2018). Application of Data Mining to “Big Data” Acquired in Audiology: Principles and Potential. Trends in Hearing. 22. 2759788529–2759788529. 10 indexed citations

13.

Mellor, Joseph, Michael A. Stone, & John Keane. (2018). Application of Data Mining to a Large Hearing-Aid Manufacturer’s Dataset to Identify Possible Benefits for Clinicians, Manufacturers, and Users. Trends in Hearing. 22. 2759785344–2759785344. 9 indexed citations

14.

Colabella, Claudia, Laura Corte, Luca Roscini, et al.. (2018). NGS barcode sequencing in taxonomy and diagnostics, an application in “Candida” pathogenic yeasts with a metagenomic perspective. IMA Fungus. 9(1). 91–105. 20 indexed citations

15.

Bull, Christopher, Joseph Mellor, Samuel Couth, et al.. (2016). Combining data mining and text mining for detection of early stage dementia:the SAMS framework. Language Resources and Evaluation. 3 indexed citations

16.

Wong, Lai Hong, Sunita Sinha, Julien R. C. Bergeron, et al.. (2016). Reverse Chemical Genetics: Comprehensive Fitness Profiling Reveals the Spectrum of Drug Target Interactions. PLoS Genetics. 12(9). e1006275–e1006275. 10 indexed citations

17.

Snitkin, Evan S., Adam M Gustafson, Joseph Mellor, Jie Wu, & Charles DeLisi. (2006). Comparative assessment of performance and genome dependence among phylogenetic profiling methods. BMC Bioinformatics. 7(1). 420–420. 36 indexed citations

18.

Hu, Zhenjun, Joseph Mellor, Jie Wu, & Charles DeLisi. (2004). VisANT: an online visualization and analysis tool for biological interaction data. BMC Bioinformatics. 5(1). 17–17. 174 indexed citations

19.

Mellor, Joseph. (2002). Predictome: a database of putative functional links between proteins. Nucleic Acids Research. 30(1). 306–309. 113 indexed citations

20.

Yanai, Itai, Joseph Mellor, & Charles DeLisi. (2002). Identifying functional links between genes using conserved chromosomal proximity. Trends in Genetics. 18(4). 176–179. 54 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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