Joshua C. Randall

25.4k total citations
6 papers, 405 citations indexed

About

Joshua C. Randall is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Joshua C. Randall has authored 6 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Artificial Intelligence. Recurrent topics in Joshua C. Randall's work include Genetic Associations and Epidemiology (2 papers), Genetic Syndromes and Imprinting (1 paper) and Machine Learning in Bioinformatics (1 paper). Joshua C. Randall is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Genetic Syndromes and Imprinting (1 paper) and Machine Learning in Bioinformatics (1 paper). Joshua C. Randall collaborates with scholars based in United Kingdom, United States and France. Joshua C. Randall's co-authors include Cecilia M. Lindgren, Mark I. McCarthy, Mary E. Travers, Karène Argoud, Stephan C. Collins, Jennifer M. Taylor, Massimiliano Ria, Anna L. Gloyn, Blanca Herrera and J. Grew and has published in prestigious journals such as Bioinformatics, Diabetes and Human Molecular Genetics.

In The Last Decade

Joshua C. Randall

5 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joshua C. Randall United Kingdom	4	201	183	102	64	51	6	405
Christopher Hillard United States	4	122 0.6×	66 0.4×	140 1.4×	33 0.5×	124 2.4×	8	384
Milad Heidari Nia Iran	12	151 0.8×	89 0.5×	67 0.7×	28 0.4×	24 0.5×	29	360
Mary E. Travers United Kingdom	3	239 1.2×	195 1.1×	67 0.7×	70 1.1×	78 1.5×	3	380
Seley Gharanei United Kingdom	11	156 0.8×	65 0.4×	29 0.3×	101 1.6×	33 0.6×	16	335
Milagros Pérez‐Barba Spain	7	256 1.3×	215 1.2×	114 1.1×	109 1.7×	40 0.8×	7	511
Siim Sõber Estonia	11	238 1.2×	98 0.5×	94 0.9×	17 0.3×	32 0.6×	13	495
Carmela Montrone Italy	4	237 1.2×	41 0.2×	37 0.4×	54 0.8×	40 0.8×	4	399
Shan‐Shan Kuo Taiwan	8	249 1.2×	56 0.3×	301 3.0×	70 1.1×	88 1.7×	8	521
Laure Maneix United States	12	162 0.8×	48 0.3×	86 0.8×	63 1.0×	35 0.7×	24	353
Moshood Olatinwo United States	8	175 0.9×	48 0.3×	27 0.3×	53 0.8×	25 0.5×	9	339

Countries citing papers authored by Joshua C. Randall

Since Specialization

Citations

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

Fields of papers citing papers by Joshua C. Randall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua C. Randall. 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 Joshua C. Randall. The network helps show where Joshua C. Randall may publish in the future.

Co-authorship network of co-authors of Joshua C. Randall

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

All Works

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6 of 6 papers shown

1.

Randall, Joshua C., et al.. (2021). A Hands-on Learning Approach to Introducing Computer Organization and Architecture to Early-college Students. 2021 ASEE Virtual Annual Conference Content Access Proceedings. 1 indexed citations

2.

Nicholls, Samuel M., Amanda Clare, & Joshua C. Randall. (2016). Goldilocks: a tool for identifying genomic regions that are ‘just right’. Bioinformatics. 32(13). 2047–2049.

3.

Rahmioğlu, Nilüfer, Stuart MacGregor, Alex Drong, et al.. (2014). Genome-wide enrichment analysis between endometriosis and obesity-related traits reveals novel susceptibility loci. Human Molecular Genetics. 24(4). 1185–1199. 58 indexed citations

4.

Herrera, Blanca, Helen Lockstone, Jennifer M. Taylor, et al.. (2010). Global microRNA expression profiles in insulin target tissues in a spontaneous rat model of type 2 diabetes. Diabetologia. 53(6). 1099–1109. 238 indexed citations

5.

Morris, James, Joshua C. Randall, Julian Maller, & Jeffrey C. Barrett. (2010). Evoker: a visualization tool for genotype intensity data. Bioinformatics. 26(14). 1786–1787. 11 indexed citations

6.

Timpson, Nicholas J., Cecilia M. Lindgren, Michael N. Weedon, et al.. (2008). Adiposity-Related Heterogeneity in Patterns of Type 2 Diabetes Susceptibility Observed in Genome-Wide Association Data. Diabetes. 58(2). 505–510. 97 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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