David Sims

11.1k total citations · 3 hit papers
70 papers, 4.6k citations indexed

About

David Sims is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, David Sims has authored 70 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 15 papers in Cancer Research and 11 papers in Genetics. Recurrent topics in David Sims's work include Cancer Genomics and Diagnostics (10 papers), RNA Research and Splicing (10 papers) and Genomics and Phylogenetic Studies (5 papers). David Sims is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), RNA Research and Splicing (10 papers) and Genomics and Phylogenetic Studies (5 papers). David Sims collaborates with scholars based in United Kingdom, United States and Canada. David Sims's co-authors include Andreas Heger, Chris P. Ponting, Ian Sudbery, Nicholas E. Ilott, Christopher J. Lord, Alan Ashworth, Neil P. Blackledge, Robert J. Klose, Hannah K. Long and Kerry Fenwick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

David Sims

69 papers receiving 4.5k 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.

Sequencing depth and coverage: key considerations in genomic analyses

2014 903 citations David Sims, Nicholas E. Ilott et al. profile →
The Sorghum bicolor reference genome: improved assembly, gene annotations, a transcriptome atlas, and signatures of genome organization

2017 375 citations David Sims et al. profile →
Correction: Corrigendum: Long non-coding RNAs and enhancer RNAs regulate the lipopolysaccharide-induced inflammatory response in human monocytes

2015 322 citations Nicholas E. Ilott, James A. Heward et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Sims United Kingdom	31	2.7k	842	681	542	534	70	4.6k
Bernd Timmermann Germany	41	3.7k 1.4×	751 0.9×	649 1.0×	648 1.2×	411 0.8×	106	5.4k
Victor Guryev Netherlands	36	3.9k 1.5×	1.6k 1.8×	989 1.5×	646 1.2×	653 1.2×	124	5.9k
Peter Baumann United States	40	4.6k 1.7×	990 1.2×	473 0.7×	731 1.3×	577 1.1×	91	6.3k
Martin Poot Netherlands	42	3.7k 1.4×	1.4k 1.7×	719 1.1×	727 1.3×	569 1.1×	176	6.5k
Ge Tan Switzerland	27	3.9k 1.5×	811 1.0×	788 1.2×	731 1.3×	349 0.7×	65	6.3k
Michael Hiller Germany	31	5.1k 1.9×	1.2k 1.4×	864 1.3×	604 1.1×	265 0.5×	100	6.9k
Anders Ståhlberg Sweden	43	4.0k 1.5×	529 0.6×	1.0k 1.5×	243 0.4×	745 1.4×	134	6.4k
Fei Liu China	37	2.8k 1.0×	518 0.6×	1.4k 2.1×	213 0.4×	369 0.7×	222	5.2k
Robert L. Strausberg United States	43	5.3k 2.0×	1.2k 1.5×	1.3k 1.9×	525 1.0×	875 1.6×	74	7.2k
Jun Adachi Japan	42	3.8k 1.4×	1.1k 1.3×	477 0.7×	397 0.7×	388 0.7×	158	6.1k

Countries citing papers authored by David Sims

Since Specialization

Citations

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

Fields of papers citing papers by David Sims

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Sims

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

Sharma, Abhishek, Muhammad Khairul Ramlee, Martin R. Higgs, et al.. (2023). C16orf72/HAPSTR1/TAPR1 functions with BRCA1/Senataxin to modulate replication-associated R-loops and confer resistance to PARP disruption. Nature Communications. 14(1). 5003–5003. 5 indexed citations

Downes, Damien J., Magdalena A. Karpińska, Taras Velychko, et al.. (2022). Capture-C: a modular and flexible approach for high-resolution chromosome conformation capture. Nature Protocols. 17(2). 445–475. 25 indexed citations

Ababneh, Nidaa A., Jakub Scaber, Rowan Flynn, et al.. (2020). Correction of amyotrophic lateral sclerosis related phenotypes in induced pluripotent stem cell-derived motor neurons carrying a hexanucleotide expansion mutation in C9orf72 by CRISPR/Cas9 genome editing using homology-directed repair. Human Molecular Genetics. 29(13). 2200–2217. 52 indexed citations

Villegas-Méndez, Ana, Garima Khandelwal, Michael Haley, et al.. (2020). Exhausted CD4+ T Cells during Malaria Exhibit Reduced mTORc1 Activity Correlated with Loss of T-bet Expression. The Journal of Immunology. 205(6). 1608–1619. 15 indexed citations

Ellender, Tommas J., Jakub Scaber, Joram J. van Rheede, et al.. (2019). Embryonic progenitor pools generate diversity in fine-scale excitatory cortical subnetworks. Nature Communications. 10(1). 5224–5224. 27 indexed citations

Morgan, Michael D., Erola Pairo‐Castineira, Konrad Rawlik, et al.. (2018). Genome-wide study of hair colour in UK Biobank explains most of the SNP heritability. Nature Communications. 9(1). 5271–5271. 81 indexed citations

Watson, Lauren M., Ricardo Parolin Schnekenberg, Jonathan P. Williams, et al.. (2017). Dominant Mutations in GRM1 Cause Spinocerebellar Ataxia Type 44. The American Journal of Human Genetics. 101(3). 451–458. 55 indexed citations

Lih, Chih‐Jian, Han Si, Biswajit Das, et al.. (2016). Certified DNA Reference Materials to Compare HER2 Gene Amplification Measurements Using Next-Generation Sequencing Methods. Journal of Molecular Diagnostics. 18(5). 753–761. 12 indexed citations

Aerne, Birgit L., et al.. (2015). Hippo Stabilises Its Adaptor Salvador by Antagonising the HECT Ubiquitin Ligase Herc4. PLoS ONE. 10(6). e0131113–e0131113. 20 indexed citations

10.

Murugaesu, Nirupa, Marjan Iravani, Antoinette van Weverwijk, et al.. (2014). An In Vivo Functional Screen Identifies ST6GalNAc2 Sialyltransferase as a Breast Cancer Metastasis Suppressor. Cancer Discovery. 4(3). 304–317. 75 indexed citations

11.

Heward, James A., et al.. (2014). Long non-coding RNAs and enhancer RNAs regulate the lipopolysaccharide-induced inflammatory response in human monocytes. Immunology. 143. 110–110. 1 indexed citations

12.

Bajrami, Ilirjana, Jessica Frankum, Asha Konde, et al.. (2013). Genome-wide Profiling of Genetic Synthetic Lethality Identifies CDK12 as a Novel Determinant of PARP1/2 Inhibitor Sensitivity. Cancer Research. 74(1). 287–297. 279 indexed citations

13.

Iorns, Elizabeth, Toby M. Ward, Dafydd G. Thomas, et al.. (2012). Whole genome in vivo RNAi screening identifies the leukemia inhibitory factor receptor as a novel breast tumor suppressor. Breast Cancer Research and Treatment. 135(1). 79–91. 48 indexed citations

14.

Martin, Sarah A., Madeleine Hewish, David Sims, Christopher J. Lord, & Alan Ashworth. (2011). Parallel High-Throughput RNA Interference Screens Identify PINK1 as a Potential Therapeutic Target for the Treatment of DNA Mismatch Repair–Deficient Cancers. Cancer Research. 71(5). 1836–1848. 69 indexed citations

15.

Sims, David, et al.. (2010). The FLIGHT Drosophila RNAi database. Fly. 4(4). 344–348. 2 indexed citations

16.

Wright, Barry, David Sims, Ben Alderson‐Day, et al.. (2010). Melatonin Versus Placebo in Children with Autism Spectrum Conditions and Severe Sleep Problems Not Amenable to Behaviour Management Strategies: A Randomised Controlled Crossover Trial. Journal of Autism and Developmental Disorders. 41(2). 175–184. 137 indexed citations

17.

Sims, David, Costas Mitsopoulos, Alan Mackay, et al.. (2010). Genomic distance entrained clustering and regression modelling highlights interacting genomic regions contributing to proliferation in breast cancer. BMC Systems Biology. 4(1). 127–127. 9 indexed citations

18.

Sims, David, Peter Duchek, & Buzz Baum. (2009). PDGF/VEGF signaling controls cell size in Drosophila. Genome biology. 10(2). R20–R20. 33 indexed citations

19.

Coelho, David, et al.. (2005). Cell type-specific and sexually dimorphic expression of transcription factor AP-2 in the adult mouse brain. Neuroscience. 134(3). 907–919. 13 indexed citations

20.

Sims, David. (1999). Textbook of Veterinary Histology, 5th ed. Canadian veterinary journal. 40(6). 431–431. 28 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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