Stuart Naylor

3.1k citations
34 papers · 2.1k · h-index 23

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Retinal Development and Disorders 6
    • Wnt/β-catenin signaling in development and cancer 3
    • CRISPR and Genetic Engineering 3
    • RNA Interference and Gene Delivery 2
    • Virus-based gene therapy research 9

Stuart Naylor

30 papers receiving 2.0k citations

Peers

Stuart Naylor
Comparison fields: 5 of 106
  • Immunology 538
  • Oncology 520
  • Ophthalmology 149
  • Genetics 433
  • Virology 70
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Frederick D. Goldman United States
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Citations per field
00.5×4.3×
Frederick D. Goldman · 1×
Citations per year

Countries citing papers authored by Stuart Naylor

Since Specialization
Citations

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

Fields of papers citing papers by Stuart Naylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987380
2 1999208
3 2016167
4 2010153
5 2000150
6 200579
7 200277
8 200777
9 200769
10
Endothelin-2 is a hypoxia-induced autocrine survival factor for breast tumor cells.
200268
11 200964
12 200963
13 201253
14 200848
15 200848
16 200844
17 200142
18 200940
19 200938
20 200036

About Stuart Naylor

Stuart Naylor is a scholar working on Molecular Biology, Genetics, Immunology, Ophthalmology and Oncology, having authored 34 papers that have together received 2.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Immunotherapy and Immune Responses (7 papers), Retinal Development and Disorders (6 papers), Retinal Diseases and Treatments (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), CRISPR and Genetic Engineering (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Immunology (538 citations), Oncology (520 citations), Ophthalmology (149 citations), Genetics (433 citations) and Virology (70 citations). Stuart Naylor has collaborated with scholars based in United Kingdom, United States and Cyprus. Frequent co-authors include Richard Harrop, Frances R. Balkwill, Trevor Dale, Matthew J. Smalley, William Shingler, Richard H. Osborne, Denis Talbot, H. Durbin, Jan Tavernier and Frances Burke. Their work appears in journals such as Clinical Cancer Research, Human Gene Therapy, Journal of Immunotherapy, Cancer Immunology Immunotherapy and Investigative Ophthalmology & Visual Science.

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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