John Taylor

2.5k citations
13 papers · 392 · h-index 9

Impact in

    • Genomics and Rare Diseases
    • BRCA gene mutations in cancer
    • Genomic variations and chromosomal abnormalities
    • Cancer Genomics and Diagnostics

Papers in

    • Genomics and Rare Diseases 4
    • Genomic variations and chromosomal abnormalities 2
    • Protein Structure and Dynamics 1

John Taylor

11 papers receiving 385 citations

Peers

John Taylor
Comparison fields: 5 of 86
  • Genetics 146
  • Cancer Research 74
  • Pathology and Forensic Medicine 43
  • Molecular Biology 138
  • Endocrinology, Diabetes and Metabolism 31
Replace Marcel Kap with:
Marcel Kap Netherlands
Wenbo Mu China
H Matsuzaki Japan
Kevin D. Houston United States
Ulrich Bonk Germany
Iris Morr Germany
Sonia Benhamed United States
Kazimierz O. Wrzeszczyński United States
Rajani Rai United States
Georgia Arentz Australia
John Taylor relative to Marcel Kap Netherlands Marcel Kap's profile →
Citations per field
00.5×3.2×
Marcel Kap · 1×
Citations per year

Countries citing papers authored by John Taylor

Since Specialization
Citations

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

Fields of papers citing papers by John Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Taylor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Taylor Line = papers co-authored together John Taylor links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2019140
2 199066
3 201748
4 201745
5 199923
6 201722
7 201921
8 201512
9 201610
10 19924
11 19741
12 20250
13 20250

About John Taylor

John Taylor is a scholar working on Genetics, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 392 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (4 papers), Cancer Genomics and Diagnostics (3 papers), Genetic factors in colorectal cancer (2 papers), Palliative Care and End-of-Life Issues (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Protein Structure and Dynamics (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Genetics (146 citations), Cancer Research (74 citations), Pathology and Forensic Medicine (43 citations), Molecular Biology (138 citations) and Endocrinology, Diabetes and Metabolism (31 citations). John Taylor has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jenny C. Taylor, Mark Freeman, Mark S. Boguski, Nabil A. Elshourbagy, Jeffrey I. Gordon, Alistair T. Pagnamenta, Niko Popitsch, Elizabeth Ormondroyd, Hugh Watkins and Sarah Wordsworth. Their work appears in journals such as European Journal of Human Genetics, Genetics in Medicine, Oncology nursing forum, Journal of Lipid Research and Journal of American History.

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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