Christopher J. Wrighton

2.4k citations
37 papers · 2.0k · h-index 22

Impact in

    • NF-κB Signaling Pathways
  • Genetics top 5%
    • Virus-based gene therapy research
    • Animal Genetics and Reproduction

Papers in

    • Cancer Research and Treatments 6
    • Virus-based gene therapy research 9
    • Animal Genetics and Reproduction 3

Christopher J. Wrighton

37 papers receiving 1.9k citations

Peers

Christopher J. Wrighton
Comparison fields: 5 of 108
  • Cancer Research 315
  • Genetics 466
  • Immunology 335
  • Biotechnology 133
  • Molecular Biology 887
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Citations per field
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Citations per year

Countries citing papers authored by Christopher J. Wrighton

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Wrighton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Wrighton. 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 Christopher J. Wrighton. The network helps show where Christopher J. Wrighton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995236
2 1996232
3 2005195
4 1998153
5 1995146
6 2009102
7 199794
8 199877
9 200068
10 199368
11
Generation of Escherichia coli nitroreductase mutants conferring improved cell sensitization to the prodrug CB1954.
200361
12 199354
13 200052
14 199250
15 199848
16 200448
17 200147
18 199843
19 200430
20 199628

About Christopher J. Wrighton

Christopher J. Wrighton is a scholar working on Biotechnology, Genetics, Immunology, Cancer Research and Developmental Neuroscience, having authored 37 papers that have together received 2.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Xenotransplantation and immune response (8 papers), Cancer Research and Treatments (6 papers), Immune Response and Inflammation (6 papers), NF-κB Signaling Pathways (5 papers), Organ Transplantation Techniques and Outcomes (5 papers), CAR-T cell therapy research (3 papers) and Animal Genetics and Reproduction (3 papers). The work is most often cited by research in Cancer Research (315 citations), Genetics (466 citations), Immunology (335 citations), Biotechnology (133 citations) and Molecular Biology (887 citations). Christopher J. Wrighton has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Fritz H. Bach, Christiane J. Ferran, Meinrad Busslinger, Hans J. S. Winkler, Simon Christopher Robson, Peter F. Searle, Renate Hofer-Warbinek, Thomas S. Moll, Miguel Parreira Soares and Rainer de Martin. Their work appears in journals such as Molecular Therapy, Nature Medicine, Cancer Gene Therapy, Blood and Transplantation.

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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