James Smith

8.7k total citations · 1 hit paper
15 papers, 3.7k citations indexed

About

James Smith is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, James Smith has authored 15 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in James Smith's work include Ethics in Clinical Research (4 papers), BRCA gene mutations in cancer (3 papers) and Genomic variations and chromosomal abnormalities (2 papers). James Smith is often cited by papers focused on Ethics in Clinical Research (4 papers), BRCA gene mutations in cancer (3 papers) and Genomic variations and chromosomal abnormalities (2 papers). James Smith collaborates with scholars based in United Kingdom, United States and Australia. James Smith's co-authors include Patricia Greninger, Simon Forbes, Cyril H. Benes, P. Andrew Futreal, Daniel A. Haber, Howard Lightfoot, Michael R. Stratton, Wanjuan Yang, Sridhar Ramaswamy and Ultan McDermott and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Genome Research.

In The Last Decade

James Smith

14 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells

2012 2.6k citations Wanjuan Yang, Jorge Soares et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Smith United Kingdom	12	2.3k	973	929	718	543	15	3.7k
Seungchan Kim United States	29	3.4k 1.5×	821 0.8×	608 0.7×	610 0.8×	312 0.6×	96	5.4k
Jae K. Lee United States	27	2.7k 1.2×	664 0.7×	380 0.4×	740 1.0×	288 0.5×	68	5.2k
Charlotte G. Cole United Kingdom	18	3.5k 1.5×	1.9k 1.9×	697 0.8×	1.0k 1.4×	850 1.6×	33	5.0k
Brad Ozenberger United States	2	3.9k 1.7×	2.2k 2.3×	900 1.0×	1.1k 1.5×	605 1.1×	2	5.6k
J. Carl Barrett United States	32	2.4k 1.0×	827 0.8×	305 0.3×	811 1.1×	550 1.0×	68	4.5k
Jon W. Teague United Kingdom	15	3.1k 1.3×	1.7k 1.7×	698 0.8×	1.2k 1.7×	782 1.4×	24	4.5k
Mark D.M. Leiserson United States	15	3.1k 1.3×	1.8k 1.9×	630 0.7×	1.2k 1.7×	534 1.0×	33	4.6k
Sari Ward United Kingdom	5	2.7k 1.2×	1.6k 1.7×	595 0.6×	888 1.2×	591 1.1×	9	3.9k
Jesse S. Boehm United States	30	2.9k 1.2×	1.5k 1.5×	949 1.0×	1.2k 1.6×	284 0.5×	51	4.3k
Nikhil Wagle United States	27	2.6k 1.1×	1.3k 1.3×	1.1k 1.1×	1.9k 2.7×	496 0.9×	102	4.7k

Countries citing papers authored by James Smith

Since Specialization

Citations

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

Fields of papers citing papers by James Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Smith

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

All Works

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15 of 15 papers shown

Smith, James, et al.. (2021). Hey, Google, leave those kids alone: Against hypernudging children in the age of big data. AI & Society. 38(4). 1639–1649. 13 indexed citations

Middleton, Anna, Richard Milne, Heidi Howard, et al.. (2019). Members of the public in the USA, UK, Canada and Australia expressing genetic exceptionalism say they are more willing to donate genomic data. European Journal of Human Genetics. 28(4). 424–434. 24 indexed citations

Milne, Richard, Katherine I. Morley, Heidi Howard, et al.. (2019). Trust in genomic data sharing among members of the general public in the UK, USA, Canada and Australia. Human Genetics. 138(11-12). 1237–1246. 65 indexed citations

Middleton, Anna, Richard Milne, Adrian Thorogood, et al.. (2018). Attitudes of publics who are unwilling to donate DNA data for research. European Journal of Medical Genetics. 62(5). 316–323. 50 indexed citations

Smith, James, Anna Schuh, David DiGiusto, et al.. (2016). Regulatory barriers to the advancement of precision medicine. Expert Review of Precision Medicine and Drug Development. 1(3). 319–329. 9 indexed citations

Bozdağ, E., Matthieu Lefèbvre, Wenjie Lei, et al.. (2014). Big Data and High-Performance Computing in Global Seismology. EGU General Assembly Conference Abstracts. 16606.

Yang, Wanjuan, Jorge Soares, Patricia Greninger, et al.. (2012). Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells. Nucleic Acids Research. 41(D1). D955–D961. 2597 indexed citations breakdown →

Parker, Anne, Eugene Bragin, Simon Brent, et al.. (2010). Using caching and optimization techniques to improve performance of the Ensembl website. BMC Bioinformatics. 11(1). 239–239. 1 indexed citations

Chen, Yuan, Fiona Cunningham, Daniel Ríos, et al.. (2010). Ensembl variation resources. BMC Genomics. 11(1). 293–293. 94 indexed citations

10.

Adams, David J., Emmanouil T. Dermitzakis, Tony Cox, et al.. (2005). Complex haplotypes, copy number polymorphisms and coding variation in two recently divergent mouse strains. Nature Genetics. 37(5). 532–536. 50 indexed citations

11.

Stalker, James, et al.. (2004). The Ensembl Web Site: Mechanics of a Genome Browser. Genome Research. 14(5). 951–955. 84 indexed citations

12.

Adams, David J., Patrick J. Biggs, Tony Cox, et al.. (2004). Mutagenic Insertion and Chromosome Engineering Resource (MICER). Nature Genetics. 36(8). 867–871. 103 indexed citations

13.

Fiegler, Heike, Philippa Carr, D. C. Burford, et al.. (2003). DNA microarrays for comparative genomic hybridization based on DOP‐PCR amplification of BAC and PAC clones. Genes Chromosomes and Cancer. 36(4). 361–374. 373 indexed citations

14.

Silver, Harold & James Smith. (1991). The Idea Brokers: Think Tanks and the Rise of the New Policy Elite. History of Education Quarterly. 31(4). 562–562. 54 indexed citations

15.

Smith, Gaaddis & James Smith. (1991). The Idea Brokers: Think Tanks and the Rise of the New Policy Elite. Foreign Affairs. 70(3). 169–169. 156 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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