James Hadfield

11.1k citations
32 papers · 5.2k indexed · 4 hit papers · h-index 16
Topics
Cancer Genomics and Diagnostics (12 papers)Molecular Biology Techniques and Applications (7 papers)Single-cell and spatial transcriptomics (3 papers)

In The Last Decade

James Hadfield

29 papers receiving 5.1k citations

Hit Papers

Non-invasive analysis of acquired resistance to cancer th...201020262015202020132019201220104008001.2k

Peers

James Hadfield
Comparison fields: 5 of 131
  • Molecular Biology 2.9k
  • Cancer Research 2.8k
  • Oncology 1.2k
  • Pulmonary and Respiratory Medicine 1.2k
  • Plant Science 625
Replace Nigel P. Mongan with:
Nigel P. Mongan United Kingdom
Jill M. Spoerke United States
Malachi Griffith United States
Annalisa Pession Italy
Yasushi Totoki Japan
Kent W. Hunter United States
Keith Harshman Switzerland
Rory Stark United Kingdom
Richard Bourgon United States
Stefan K. Bohlander Germany
James Hadfield relative to Nigel P. Mongan United Kingdom Nigel P. Mongan's profile →
Citations per field
00.5×2.9×
Nigel P. Mongan · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 10
5 11
6 1
7 28
8
RNA sequencing: the teenage yearsbreakdown →
1158
9 5
10 211
11 15
12 18
13 32
14
Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expressionbreakdown →
542
15 4
16 376
17 76
18 59
19 323
20 5

About James Hadfield

James Hadfield is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 32 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (12 papers), Molecular Biology Techniques and Applications (7 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Cancer Research (2.8k citations), Oncology (1.2k citations) and Molecular Biology (2.9k citations). James Hadfield has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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