Stephen Taylor

8.4k citations
74 papers · 4.4k indexed · h-index 32

Impact in

  • Hematology top 2%
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms

Papers in

Stephen Taylor

72 papers receiving 4.4k citations

Peers

Stephen Taylor
Comparison fields: 5 of 156
  • Hematology 538
  • Molecular Biology 3.0k
  • Genetics 404
  • Dermatology 334
  • Cancer Research 551
Replace Joost van den Oord with:
Joost van den Oord Belgium
Dirk Koczan Germany
Cynthia Helms United States
Stefania Raimondo Italy
Darren P. Baker United States
William Damsky United States
Yasuhiko Masuho Japan
Derek Davies United Kingdom
Della Friend United States
Alistair N. Hume United Kingdom
Stephen Taylor relative to Joost van den Oord Belgium Joost van den Oord's profile →
Citations per field
00.5×3.4×
Joost van den Oord · 1×
Citations per year

Countries citing papers authored by Stephen Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen 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 Stephen Taylor Line = papers co-authored together Stephen Taylor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20228
2 202223
3 202229
4 20214
5 202014
6 201928
7 201993
8 201850
9 201826
10 2017144
11 201770
12 201647
13 2015216
14
Histamine enhances keratinocyte-mediated resolution of inflammation by promoting wound healing and response to infection
20148
15 2014338
16 201447
17 2013145
18 20127
19 2011116
20 20087

About Stephen Taylor

Stephen Taylor is a scholar working on Virology, Dermatology, Genetics, Hematology and Molecular Biology, having authored 74 papers that have together received 4.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (17 papers), RNA Research and Splicing (11 papers), RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (6 papers), Dermatology and Skin Diseases (5 papers), Genomics and Phylogenetic Studies (5 papers), Hemoglobinopathies and Related Disorders (5 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Hematology (538 citations), Molecular Biology (3.0k citations), Genetics (404 citations), Dermatology (334 citations) and Cancer Research (551 citations). Stephen Taylor has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Douglas R. Higgs, Jim R. Hughes, Simon J. McGowan, Richard J. Gibbons, Nigel Roberts, Graham S. Ogg, Danuta Gutowska‐Owsiak, Maryam Salimi, Marco De Gobbi and Magnus Lynch. Their work appears in journals such as Nature Communications, Blood, Bioinformatics, PLoS ONE and Genome Research.

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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