James Hadfield

11.1k total citations · 4 hit papers
32 papers, 5.2k citations indexed

About

James Hadfield is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, James Hadfield has authored 32 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in James Hadfield's work include Cancer Genomics and Diagnostics (12 papers), Molecular Biology Techniques and Applications (7 papers) and Single-cell and spatial transcriptomics (3 papers). James Hadfield is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Molecular Biology Techniques and Applications (7 papers) and Single-cell and spatial transcriptomics (3 papers). James Hadfield collaborates with scholars based in United Kingdom, United States and Singapore. James Hadfield's co-authors include Marta Grzelak, Rory Stark, Carlos Caldas, James D. Brenton, Tim Forshew, Nitzan Rosenfeld, Dana W.Y. Tsui, Davina Gale, Muhammed Murtaza and Sarah‐Jane Dawson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

James Hadfield

29 papers receiving 5.1k 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.

Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA

2013 1.2k citations Tim Forshew, Suet‐Feung Chin et al. profile →
RNA sequencing: the teenage years

2019 1.2k citations Rory Stark, Marta Grzelak et al. Nature Reviews Genetics profile →
Noninvasive Identification and Monitoring of Cancer Mutations by Targeted Deep Sequencing of Plasma DNA

2012 975 citations Tim Forshew, James Hadfield et al. profile →
Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression

2010 542 citations Anna Git, Heidi Dvinge et al. RNA profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Hadfield United Kingdom	16	2.9k	2.8k	1.2k	1.2k	625	32	5.2k
Annalisa Pession Italy	41	3.1k 1.1×	1.2k 0.4×	912 0.8×	675 0.6×	343 0.5×	144	5.8k
Søren Vang Denmark	33	2.3k 0.8×	1.6k 0.6×	723 0.6×	569 0.5×	315 0.5×	53	3.7k
Richard Bourgon United States	28	3.5k 1.2×	1.1k 0.4×	1.4k 1.2×	477 0.4×	431 0.7×	55	5.4k
Nigel P. Mongan United Kingdom	39	3.7k 1.3×	1.3k 0.5×	1.1k 0.9×	800 0.7×	212 0.3×	158	5.7k
Kent W. Hunter United States	45	3.7k 1.3×	1.6k 0.6×	1.7k 1.4×	552 0.5×	214 0.3×	123	5.9k
Brian B. Tuch United States	19	4.5k 1.6×	873 0.3×	814 0.7×	598 0.5×	491 0.8×	36	6.3k
Jill M. Spoerke United States	24	1.8k 0.6×	819 0.3×	865 0.7×	532 0.5×	447 0.7×	42	3.2k
Bastiaan B.J. Tops Netherlands	28	2.7k 1.0×	2.1k 0.8×	521 0.4×	433 0.4×	251 0.4×	70	4.3k
Malachi Griffith United States	35	4.0k 1.4×	2.2k 0.8×	1.4k 1.2×	744 0.6×	200 0.3×	100	6.5k
Anders Zetterberg Sweden	35	3.4k 1.2×	1.5k 0.5×	1.2k 1.0×	513 0.4×	719 1.2×	78	5.9k

Countries citing papers authored by James Hadfield

Since Specialization

Citations

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

Fields of papers citing papers by James Hadfield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Hadfield

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ward, Douglas G., Richard T. Bryan, Aadel A. Chaudhuri, et al.. (2025). Unlocking the potential of urine-based liquid biopsy through improved reporting and standardization. Nature reviews. Cancer. 26(2). 79–80.

Nuttall, Barrett, Daniel Karl, Kathleen A. Burke, et al.. (2025). Comprehensive comparison of enzymatic and bisulfite DNA methylation analysis in clinically relevant samples. Clinical Epigenetics. 17(1). 156–156.

Fink, J. Lynn, N. T. B. Stone, Fan Zhang, et al.. (2024). Validation and Performance of Quantitative BRCA1 and RAD51C Promoter Hypermethylation Testing in Breast and Ovarian Cancers. Journal of Molecular Diagnostics. 27(2). 139–153. 1 indexed citations

Stetson, Daniel, David Shera, Chris Abbosh, et al.. (2024). Next-Generation Molecular Residual Disease Assays: Do We Have the Tools to Evaluate Them Properly?. Journal of Clinical Oncology. 42(23). 2736–2740. 10 indexed citations

Reynolds, Andrew R., Michele Moschetta, Farzana L. Walcott, et al.. (2023). A View on Drug Development for Cancer Prevention. Cancer Discovery. 13(5). 1058–1083. 11 indexed citations

Stetson, Daniel, Gregory T. Jones, Giovanni Marsico, et al.. (2023). Abstract 3384: Evaluation of a tumor informed MRD assay with contrived breast cancer samples. Cancer Research. 83(7_Supplement). 3384–3384. 1 indexed citations

Tran, Maxine, B. Bibby, Lingjian Yang, et al.. (2020). Independence of HIF1a and androgen signaling pathways in prostate cancer. BMC Cancer. 20(1). 469–469. 28 indexed citations

Stark, Rory, Marta Grzelak, & James Hadfield. (2019). RNA sequencing: the teenage years. Nature Reviews Genetics. 20(11). 631–656. 1158 indexed citations breakdown →

Hadfield, James & Jacques Retief. (2018). A profusion of confusion in NGS methods naming. Nature Methods. 15(1). 7–8. 5 indexed citations

10.

Bach, Karsten, Sara Pensa, Marta Grzelak, et al.. (2017). Differentiation dynamics of mammary epithelial cells revealed by single-cell RNA sequencing. Nature Communications. 8(1). 2128–2128. 211 indexed citations

11.

Davies, Jessica L., Tom Denyer, & James Hadfield. (2016). Bioanalyzer Chips can be Used Interchangeably For Many Analyses Of DNA or RNA. BioTechniques. 60(4). 197–199. 15 indexed citations

12.

Hadfield, James & Matthew Eldridge. (2014). Multi-genome alignment for quality control and contamination screening of next-generation sequencing data. Frontiers in Genetics. 5. 31–31. 18 indexed citations

13.

Aldridge, Sarah & James Hadfield. (2011). Introduction to miRNA Profiling Technologies and Cross-Platform Comparison. Methods in molecular biology. 822. 19–31. 32 indexed citations

14.

Git, Anna, Heidi Dvinge, Mali Salmon‐Divon, et al.. (2010). Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression. RNA. 16(5). 991–1006. 542 indexed citations breakdown →

15.

Lynch, Andy G., James Hadfield, Mark Dunning, et al.. (2010). The cost of reducing starting RNA quantity for Illumina BeadArrays: A bead-level dilution experiment. BMC Genomics. 11(1). 540–540. 4 indexed citations

16.

Schmidt, Dominic, Michael D. Wilson, Christiana Spyrou, et al.. (2009). ChIP-seq: Using high-throughput sequencing to discover protein–DNA interactions. Methods. 48(3). 240–248. 376 indexed citations

17.

Curtis, Christina, Andy G. Lynch, Mark Dunning, et al.. (2009). The pitfalls of platform comparison: DNA copy number array technologies assessed. BMC Genomics. 10(1). 588–588. 76 indexed citations

18.

Marquardt, Sebastian, Paul K. Boss, James Hadfield, & Caroline Dean. (2006). Additional targets of the Arabidopsis autonomous pathway members, FCA and FY. Journal of Experimental Botany. 57(13). 3379–3386. 59 indexed citations

19.

Mitra, Raka M., Cynthia Gleason, Anne Edwards, et al.. (2004). A Ca ²⁺ /calmodulin-dependent protein kinase required for symbiotic nodule development: Gene identification by transcript-based cloning. Proceedings of the National Academy of Sciences. 101(13). 4701–4705. 323 indexed citations

20.

Koebner, R. M. D. & James Hadfield. (2001). Large-scale mutagenesis directed at specific chromosomes in wheat. Genome. 44(1). 45–49. 5 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.

Explore authors with similar magnitude of impact