James Boocock

5.4k total citations
34 papers, 766 citations indexed

About

James Boocock is a scholar working on Genetics, Molecular Biology and Nephrology. According to data from OpenAlex, James Boocock has authored 34 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 13 papers in Molecular Biology and 5 papers in Nephrology. Recurrent topics in James Boocock's work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Gout, Hyperuricemia, Uric Acid (5 papers) and Genetic Associations and Epidemiology (4 papers). James Boocock is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (7 papers), Gout, Hyperuricemia, Uric Acid (5 papers) and Genetic Associations and Epidemiology (4 papers). James Boocock collaborates with scholars based in United States, New Zealand and Australia. James Boocock's co-authors include Tony R. Merriman, Leonid Kruglyak, Joshua S. Bloom, Michael A. Black, Bogdan Paşaniuc, Murray Cadzow, Claudia Giambartolomei, Panos Roussos, Mads E. Hauberg and Andrew E. Jaffe and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

James Boocock

32 papers receiving 761 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Boocock United States	18	375	364	115	67	54	34	766
W. Douglas Scheer United States	10	310 0.8×	361 1.0×	20 0.2×	221 3.3×	55 1.0×	21	783
Haiyi Lou China	14	217 0.6×	384 1.1×	6 0.1×	35 0.5×	9 0.2×	22	565
Rui Peng China	11	371 1.0×	142 0.4×	18 0.2×	18 0.3×	37 0.7×	30	643
Yingwei Wang China	17	682 1.8×	78 0.2×	36 0.3×	52 0.8×	39 0.7×	56	1.0k
Jinguo Zhang China	19	461 1.2×	48 0.1×	13 0.1×	42 0.6×	62 1.1×	64	881
Toru Shimizu Japan	18	185 0.5×	96 0.3×	284 2.5×	69 1.0×	73 1.4×	59	828
Satish Kumar United States	16	272 0.7×	266 0.7×	5 0.0×	14 0.2×	73 1.4×	55	667
Yoshiki Yasukochi Japan	14	210 0.6×	178 0.5×	15 0.1×	17 0.3×	29 0.5×	58	528
Yaqun Guan China	11	191 0.5×	239 0.7×	5 0.0×	8 0.1×	24 0.4×	28	452

Countries citing papers authored by James Boocock

Since Specialization

Citations

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

Fields of papers citing papers by James Boocock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Boocock

This figure shows the co-authorship network connecting the top 25 collaborators of James Boocock. A scholar is included among the top collaborators of James Boocock 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 Boocock. James Boocock 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

Boocock, James, et al.. (2025). Single-cell eQTL mapping in yeast reveals a tradeoff between growth and reproduction. eLife. 13. 1 indexed citations

Boocock, James, et al.. (2024). Single-cell eQTL mapping in yeast reveals a tradeoff between growth and reproduction. eLife. 13. 1 indexed citations

Guo, Longhua, James Boocock, Evann E. Hilt, et al.. (2022). Genomic epidemiology of the Los Angeles COVID-19 outbreak and the early history of the B.1.43 strain in the USA. BMC Genomics. 23(1). 260–260.

Guo, Longhua, Joshua S. Bloom, James Boocock, et al.. (2022). Island-specific evolution of a sex-primed autosome in a sexual planarian. Nature. 606(7913). 329–334. 21 indexed citations

Boocock, James, Meru J. Sadhu, Arun Durvasula, Joshua S. Bloom, & Leonid Kruglyak. (2021). Ancient balancing selection maintains incompatible versions of the galactose pathway in yeast. Science. 371(6527). 415–419. 26 indexed citations

Ben‐David, Eyal, James Boocock, Longhua Guo, et al.. (2021). Whole-organism eQTL mapping at cellular resolution with single-cell sequencing. eLife. 10. 26 indexed citations

Boocock, James, Megan Leask, Yukinori Okada, et al.. (2020). Genomic dissection of 43 serum urate-associated loci provides multiple insights into molecular mechanisms of urate control. Human Molecular Genetics. 29(6). 923–943. 49 indexed citations

Burga, Alejandro, Eyal Ben‐David, Tzitziki Lemus, James Boocock, & Leonid Kruglyak. (2019). Fast genetic mapping of complex traits in C. elegans using millions of individuals in bulk. Nature Communications. 10(1). 2680–2680. 31 indexed citations

Boocock, James, et al.. (2018). Ancient DNA Evidence for the Introduction and Dispersal of Dogs (Canis familiaris) in New Zealand. ResearchSpace (University of Auckland). 3 indexed citations

10.

Giambartolomei, Claudia, Wen Zhang, Mads E. Hauberg, et al.. (2018). A Bayesian framework for multiple trait colocalization from summary association statistics. Bioinformatics. 34(15). 2538–2545. 159 indexed citations

11.

Gosling, Anna L., Claire Collins, James Boocock, et al.. (2018). Complex history of dog (Canis familiaris) origins and translocations in the Pacific revealed by ancient mitogenomes. Scientific Reports. 8(1). 9130–9130. 33 indexed citations

12.

Matisoo‐Smith, Elizabeth, Anna L. Gosling, Daniel E. Platt, et al.. (2018). Ancient mitogenomes of Phoenicians from Sardinia and Lebanon: A story of settlement, integration, and female mobility. PLoS ONE. 13(1). e0190169–e0190169. 22 indexed citations

13.

Pan, David Z., Kristina M. Garske, Marcus Alvarez, et al.. (2018). Integration of human adipocyte chromosomal interactions with adipose gene expression prioritizes obesity-related genes from GWAS. Nature Communications. 9(1). 1512–1512. 57 indexed citations

14.

Gosling, Anna L., James Boocock, Nicola Dalbeth, et al.. (2017). Mitochondrial genetic variation and gout in Māori and Pacific people living in Aotearoa New Zealand. Annals of the Rheumatic Diseases. 77(4). 571–578. 31 indexed citations

15.

Cadzow, Murray, Tony R. Merriman, James Boocock, et al.. (2016). Lack of direct evidence for natural selection at the candidate thrifty gene locus, PPARGC1A. BMC Medical Genetics. 17(1). 80–80. 9 indexed citations

16.

Matisoo‐Smith, Elizabeth, Anna L. Gosling, James Boocock, et al.. (2016). A European Mitochondrial Haplotype Identified in Ancient Phoenician Remains from Carthage, North Africa. PLoS ONE. 11(5). e0155046–e0155046. 18 indexed citations

17.

Boocock, James, David Chagné, Tony R. Merriman, & Michael A. Black. (2015). The distribution and impact of common copy-number variation in the genome of the domesticated apple, Malus x domestica Borkh. BMC Genomics. 16(1). 848–848. 20 indexed citations

18.

Sawaya, Sterling, James Boocock, Michael A. Black, & Neil J. Gemmell. (2015). Exploring possible DNA structures in real-time polymerase kinetics using Pacific Biosciences sequencer data. BMC Bioinformatics. 16(1). 21–21. 6 indexed citations

19.

Cadzow, Murray, James Boocock, Hoang T. Nguyen, et al.. (2014). A bioinformatics workflow for detecting signatures of selection in genomic data. Frontiers in Genetics. 5. 293–293. 53 indexed citations

20.

Huckerby, Thomas N., Robert M. Lauder, Gavin M. Brown, et al.. (2001). Characterization of oligosaccharides from the chondroitin sulfates. European Journal of Biochemistry. 268(5). 1181–1189. 30 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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